CVPR2017

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4 PhD positions in computational brain imaging

Technical University of Denmark (coordinator)|Denmark - Belgium - Germany

TRABIT (https://trabit.eu) is an ambitious EU-funded project aiming to develop new computational methods to analyze the ``wild'' type of neuroimaging data arising in the standard clinical treatment of brain disorders. TRABIT is currently inviting applications for 4 early-stage researcher (ESR) positions in a dedicated PhD research program involving some of Europe's most renowned universities, research hospitals, and industrial R&D divisions. The selected ESRs will receive an interdisciplinary research training, with a special emphasis on overall career development and on the translation from academic research to industry and clinical practice. TRABIT has the explicit ambition to bring novel quantitative image computing methods into the clinic, enabling improved healthcare delivery to patients with brain disease. We offer: - An exciting interdisciplinary research environment of eight top-level universities and research institutes, six hospitals, and five industrial partners. - International secondments to other partners in the TRABIT network; dedicated network-wide training events and conferences; anticipated participation in other international conferences and workshops. - Co-supervision of your research by experts from industry, academia and hospitals, as well as access to state-of-the-art computational facilities and large collections of clinical neuroimaging data to support your research. - Special emphasis on career development through transferable skills training including entrepreneurship, innovation, IPR, industry work, scientific writing, etc. - An employment contract or other direct contract with equivalent benefits, including social security coverage, with a competitive salary (cf. the specific ESR descriptions for details); an additional mobility allowance of 600 EUR/month; and a family allowance of 500 EUR/month if you have a family at the time of recruitment Available positions: ESR8: Technical University of Denmark - Denmark (https://trabit.eu/index.php/positions/esr-8) ESR13: Capital Region of Denmark - Denmark (https://trabit.eu/index.php/positions/esr-13) ESR14: Fraunhofer MEVIS - Germany (https://trabit.eu/index.php/positions/esr-14) ESR15: Icometrix - Belgium (https://trabit.eu/index.php/positions/esr-15) To apply: Please follow the application instructions detailed at the TRABIT website: https://trabit.eu/index.php/vacancies. The application deadline is 15 April 2018. Link or contact email: https://trabit.eu

Posted on: 2018-03-23 05:33:18 UTC

Director of Bioimage Analysis Center

St. Jude Children’s Research Hospital|Memphis, TN USA

St. Jude Children’s Research Hospital is recruiting a Director for the St. Jude BioImage Analysis Center. This critical role requires a strong leader with proven interdisciplinary experience to assemble a team of computational scientists and establish the computational infrastructure to meet institutional needs to analyze and quantitate microscopy imagery at large scales and high throughput. In this role, you will partner with research programs institution-wide to amplify discoveries made using St. Jude’s unique array of cutting-edge light and electron microscopes resources as well as high-content screening platforms. Our highly collaborative, mission-driven environment requires a team-oriented individual with excellent communication skills and the following qualifications: ● Five (5) years of related experience. Experience in computing or statistical data analysis, as well as, programming experience in using Imaris, Amira, ImageJ or Fiji programs and operating within a Linux system is preferred ● Ph.D. in Physics, Computer Science, Electrical Engineering, or related field required. For more information, contact: caryn.cloer@stjude.org or apply at: http://bit.ly/2IqhXmN

Posted on: 2018-03-15 14:30:32 UTC

Senior Computer Vision Engineer (3D Reconstruction)

REscan|Menlo Park, CA

Looking for an experienced (Ph.D preferred) computer scientist with experience in the construction of 3d maps from sensor data. In particular, experience with pose estimation, point cloud construction, and polygon extraction are desired. The ideal candidate will have experience with 3D map building projects, LIDAR data, SLAM, VSLAM, and computer vision generally. Interest in Machine learning is a plus. Applicants are expected to have experience in a production environment, and be familiar with industry standard development tools and techniques, such as Git, JIRA, and Agile project management. You would be joining an exciting seed phase start-up company doing large scale 3D architectural scanning and scene understanding with cutting-edge applications in remote viewing, VR, and AR.

Posted on: 2018-03-14 03:17:46 UTC

Graduate research internships

Intel India|Bangalore

Graduate research internships at Intel India – ML, CV & speech/language processing Ideas-2-Reality (I2R) is an innovation & incubation group at Intel in Bangalore, India. We, in I2R are presently exploring problems in 2 areas: - autonomous driving & driver-assistance using computer vision and machine/deep learning, and - speech & natural Language processing using advanced machine learning approaches. We have a few graduate international internship positions for Summer 2018 (June-Aug). Long term (6 months) internships are also a possibility. Those interested, can send their CV to Anbumani Subramanian at anbumani.subramanian@intel.com, with a subject line: Graduate internship at I2R. Requirements: - MS/PhD graduate study in EE or CS - Good programming knowledge of C/C++, OpenCV, Python - Strong knowledge in computer vision, machine learning & deep learning, with relevant academic work (or) strong background in speech - Ability to read, understand and implement research papers

Posted on: 2018-03-13 06:39:59 UTC

PhD student and postdoc positions in Deep Learning and 3D Computer Vision

TU Graz|Austria

The positions are fully funded by the Christian Doppler Laboratory on Semantic 3D Computer Vision, in collaboration with Qualcomm. * PhD Position: Multiple 3D Object Detection in Color Images. Students with a strong programming and mathematical background are invited to apply. The student will develop an approach extending our Deep Learning 3D pose estimation methods to multiple objects, in the presence of occlusions and light variations. * Postdoc Position: Semantic Features for Indoor Localization and Mapping. The candidates are expected to have a strong publication record (publications at CVPR, ICCV, ECCV, PAMI, IJCV). The goal of the project is to learn to detect and rely on semantic features found in indoor environments for localization and mapping. * Our lab develops methods for understanding the 3D world from 2D images. We regularly publish at the best venues in computer vision. You can find more details about our current research at https://www.tugraz.at/institute/icg/research/team-lepetit * Application process: Please send an e-mail to Prof. Vincent Lepetit (vlepetit@icg.tugraz.at) and Dr. Peter Roth (pmroth@icg.tugraz.at), describing briefly your background and research interests, with your CV (and your academic transcript for the phd position) in attachment.

Posted on: 2018-03-12 05:57:49 UTC

PhD student in Deep Learning at KTH, Stockholm, Sweden

KTH (Royal Institute of Technology) |Stockholm, Sweden

KTH has a PhD position on the topic of Deep Learning. The sub-topic is free to some extent and can be decided in a discussion between the prospective student and the supervisor. The application area is mainly in computer vision and potentially NLP. PhD salaries at KTH are competitive worldwide. For more details refer to the official post using the provided link. Link: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:193837/where:4/ Contact email: azizpour@kth.se

Posted on: 2018-03-09 06:25:24 UTC

Software Engineer (Computer Vision, Machine Learning)

Intelligent Automation, Inc.|Rockville, Maryland, USA

Intelligent Automation, Inc. (IAI) headquartered in Rockville, Maryland, conducts state of the art research and product development in the areas of Robotics, Signal Processing and Control, Sensor Technology, Distributed Intelligent Systems and other areas (visit www.i-a-i.com). IAI is looking for talented software engineers with a background in computer vision and machine learning. The successful candidate will join a team of vision scientists and engineers and participate in rewarding research to develop software for image and video analysis and to deliver solutions to our customers. The desired candidate should have experience in computer vision and machine learning, particularly in the areas of object detection, classification, and tracking. A solid background in programming is important. IAI is an EEO/AA employer. Job Duties include: design, implement, and integrate computer vision modules and prototypes. US Citizenship or US Permanent Residency is required. Visit https://www.i-a-i.com/about-us/careers/ for application and more information. Contact infor: [mlee at i-a-i.com].

Posted on: 2018-03-07 03:42:43 UTC

Funded Post-Doctoral Position in Montreal: Deep Learning in Biological / Medical Image Analysis

McGill University and ETS Montreal|Canada

Applications are invited for a funded post-doctoral position in deep learning for biological / medical image analysis. The candidate will work under the supervision of Prof. Luke McCaffrey at McGill University’s Rosalind & Morris Goodman Cancer Research Centre, and of Profs. Eric Granger and Ismail Ben Ayed at the Laboratory of imaging, vision and artificial intelligence (LIVIA), ETS Montreal (University of Québec). The position is available as of June 2018 for a duration of 2 years. We are looking for a highly motivated post-doctoral fellow who is interested in performing cutting-edge research in machine learning algorithms applied to the detection of breast cancer tumors based on pathology and biomarker analysis, with a particular focus on deep learning (e.g, convolutional and recurrent neural network) architectures, transfer and weakly-supervised learning. Prospective applicants should have: • strong academic record with an excellent Ph.D. degree in computer science, applied mathematics, or electrical engineering, preferably with expertise in one or more of the following areas: machine learning, biological/medical image analysis, artificial intelligence, computer vision; • a good mathematical background; • good programming skills in languages such as C, C++, Python and/or MATLAB; knowledge of deep learning frameworks would be a plus. • publication in one of the major conferences or journals in computer vision and machine learning. • Experience/knowledge in biology would be an asset Application process: For consideration, please send your CV, research statement, names and contact details of two references, transcripts, a link to a PhD thesis, as well as relevant publications to: eric.granger@etsmtl.ca; ismail.benayed@etsmtl.ca Further information : Luke McCaffrey http://mccaffreylab.mcgill.ca/McCaffreyLab.html Eric Granger & Ismail Ben Ayed http://www.etsmtl.ca/Unites-de-recherche/LIVIA

Posted on: 2018-02-19 10:29:10 UTC

Research Engineer: Computer Vision research engineer for autonomous driving

Inria, RITS Team|Paris, France

The purpose of the position is to fill the gap between research works in the team and real experiments on our prototypes. The position will include some research and some engineering. The candidate must have good knowledge of computer vision, and machine learning and be able to implement a real-time code in C++ or Python. The work will include: implementation of state-of-the-art research methods, sensors calibration, real experiments on cars (on our suburban site), and participation to research projects. The position will require knowledge of computer vision (2D and/or 3D processing) and some deep learning. The candidate should have some interest for research, as collaboration with other researchers will be expected with some publications. Experience in latest objects recognition, scene segmentation, and sensors calibration and other related computer vision subjects or real mobile robotics will be a plus.

Posted on: 2018-02-15 08:06:10 UTC

PostDoc: Computer Vision for scene understanding in Degraded Conditions for Autonomous Driving

Inria, RITS Team|Paris, France

The purpose of this position is to pursue our past work on vision in degraded conditions (bad weather, low lights, and occlusion, reflections, etc.). The candidate must have an excellent research skills in computer vision and machine learning and very good records in one this field: computer vision, mobile robotics, or machine learning. The subject of the post-doc will be refined with the candidate but will be related to computer vision in degraded conditions including possible focus on glares, bad weather vision, strong occlusion, non-diffuse materials, etc. Several research lines are envisaged such as physic based models for computer vision, deep learning enforcing physic models for illumination, etc. Depending on a pending project, the work might be in collaboration with international research group and which would allow collaboration abroad (max. 3 months).

Posted on: 2018-02-15 08:05:33 UTC

Research Associate in Deep Learning for 3D Face Recognition

SnT Center, University of Luxembourg|Luxembourg

The successful candidate will join the Computer Vision team led by Dr. Djamila Aouada as part of the SIGCOM group of Prof. Bjorn Ottersten. He/She will collaborate with our industrial partner Artec 3D, a global leader in 3D sensing and data processing. He/She will contribute to defining the next generation 3D face recognition system. The candidate will combine deep learning with 3D modelling for robust face recognition. For further information, please contact Djamila.Aouada@uni.lu. Your Profile: A PhD degree in Computer Vision or Machine Learning. Competitive research record. Strong mathematical background. Strong development skills in C++. The University of Luxembourg offers a two-year employment contract and may be extended up to five years. The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created research centre. Contact email: Djamila.aouada@uni.lu Link: https://lnkd.in/ejYZb2j

Posted on: 2018-02-13 09:38:46 UTC

Perception Engineer

Aurora Flight Sciences|Cambridge, MA

Aurora is seeking a dynamic individual who can aid in Aurora’s efforts to perform novel perception experiments on unmanned aerial systems (UAS). Qualified candidates will be expected to have experience in optical systems hardware and computer vision software to architect vehicle autonomy solution using vision-based localization and mapping algorithms. The qualifying engineer will have the capability of integrating hardware, firmware, and software such as cameras, lasers, LEDs, IMUs on an embedded hardware platform such as NVidia Tegra/Jetson or Intel NUC. Experience with C/C++ in Linux and parallel programming on GPGPU using OpenCL or CUDA is required. The candidate should have experience in utilizing commercial off-the-shelf (COTS) hardware and software packages such as OpenCV. The engineer is expected to properly document and present results to enable further growth of future commercial and government ventures.

Posted on: 2018-02-10 09:05:12 UTC

Multiple openings in Machine Learning at HRL

HRL Laboratories|Malibu, CA, USA

HRL Laboratories is looking for candidates with US permanent resident or citizen status who might be interested in research positions (full-time contractors, internship) at Malibu, CA (http://www.hrl.com). * Education Desired: MS or Ph.D. in EE, Computer Science, Applied Math, or related fields * Essential Job Functions: Primary job function is to perform R & D in computer vision, machine learning, and other areas. Tasks will include the development, simulation, evaluation, and implementation in software of computer vision algorithms applied to a variety of applications. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. You will have opportunities to work on projects funded by our LLC member companies (Boeing and GM) or government contracts (DARPA, IARPA, etc.). * Experience Desired: Research experience in one or more of the following areas: machine learning, deep learning, reinforcement learning, and computer vision. Applications in autonomous ground or aerial systems, robotics, or surveillance systems. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Familiarity with C, C++, Python, JAVA, OpenCV, PCL, and/or Matlab/Simulink. * Essential Physical/Mental Requirements: Good communication (verbal and written) skills, active participation in R & D team activities is required. * HRL Laboratories continues the legacy of technology advances that began at Hughes Research Laboratories, established by Howard Hughes in 1948. HRL Laboratories, LLC, was organized as a limited liability company (LLC) on December 17, 1997, and received its first patent on September 12, 2000. With more than 600 patents to our name since then and counting, we're proud of our talented group of researchers, who continue the long tradition of technical excellence in innovation. For more than 60 years, HRL's scientists and engineers have been on the leading edge of technology, conducting pioneering research, providing real-world technology solutions, and advancing the state of the art. We continue to be recognized as one of the world's premier physical science and engineering research laboratories. * Application Instructions: Please email your resume/CV to [kkim at hrl.com]. Note that applications that don't meet the US residency requirement will be ignored.

Posted on: 2018-02-10 09:03:54 UTC

Multiple openings in Autonomous Driving/Systems at HRL

HRL Laboratories|Malibu, CA, USA

Please take a look at the first posting for the other necessary requirements. * Experience Desired: Research and development experience in one or more of the following areas: autonomous systems (UGVs, UAVs, or any other unmanned systems), computer vision, robotics, cognitive reasoning, deep learning, and large scale simulations. Experience in development using sensors such as (stereo) camera, LIDAR, radar, etc. and their fusion. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Familiarity with C, C++, Python, OpenCV, ROS, PCL, Matlab/Simulink and/or CANBUS protocol. * Application Instructions: Please email your resume/CV to [kkim at hrl.com]. Note that applications that don't meet the US residency requirement will be ignored.

Posted on: 2018-02-10 09:02:27 UTC

Software Tooling Engineer (m/f)

DENSO |Lindau, Germany

As a global automotive supplier for original equipment and Aftermarket, DENSO is one of the world's leading developers and providers of components and systems in the areas of air conditioning, powertrain, electrics, electronics, driver assistance and infotainment, with around 151,000 employees in 38 countries. Established in 2016 in Lindau in the south of Germany and on the borders with Austria and Switzerland, DENSO has invested in ADAS computer vision, by establishing a research and development center. DENSO ADAS Engineering Services GmbH (DNAE) was established to further strengthen technical advances for state-of-the-art camera based algorithm development. Mobility of the future, in particular Autonomous Driving, requires highly advanced technologies to perceive the vehicle’s environment. DNAE works within DENSO’s Global Safety Group, collaborating for advanced technology development. DNAE’s primary focus is to contribute to the autonomous driving domain by providing advanced development for surround camera based technologies for embedded systems. These advanced developments transfer into DENSO's next generation products. The technologies that are developed at the technical center in Lindau, enable an abstract representation of the vehicle’s surroundings, allowing the vehicle to safely perform driving maneuvers by avoiding obstacles such as pedestrians and other road users. Very much looking forward to welcoming enthusiastic and talented Engineers to join our company. http://densojobs.com/latest-jobs/Software-Tooling-Engineer-m-f-11549 Our people and facility can be seen in the following link: https://youtu.be/bemZWn9yd2s

Posted on: 2018-02-08 07:11:39 UTC

Software Engineer in Algorithm Validation and Testing

DENSO |Lindau, Germany

As a global automotive supplier for original equipment and Aftermarket, DENSO is one of the world's leading developers and providers of components and systems in the areas of air conditioning, powertrain, electrics, electronics, driver assistance and infotainment, with around 151,000 employees in 38 countries. Established in 2016 in Lindau in the south of Germany and on the borders with Austria and Switzerland, DENSO has invested in ADAS computer vision, by establishing a research and development center. DENSO ADAS Engineering Services GmbH (DNAE) was established to further strengthen technical advances for state-of-the-art camera based algorithm development. Mobility of the future, in particular Autonomous Driving, requires highly advanced technologies to perceive the vehicle’s environment. DNAE works within DENSO’s Global Safety Group, collaborating for advanced technology development. DNAE’s primary focus is to contribute to the autonomous driving domain by providing advanced development for surround camera based technologies for embedded systems. These advanced developments transfer into DENSO's next generation products. The technologies that are developed at the technical center in Lindau, enable an abstract representation of the vehicle’s surroundings, allowing the vehicle to safely perform driving maneuvers by avoiding obstacles such as pedestrians and other road users. Very much looking forward to welcoming enthusiastic and talented Engineers to join our company. http://densojobs.com/latest-jobs/Software-Engineer-in-Algorithm-Validation-and-Testing-11597 Our people and facility can be seen in the following link: https://youtu.be/bemZWn9yd2s

Posted on: 2018-02-08 07:11:04 UTC

COMPUTER VISION DEVELOPER (m/f)

DENSO |Lindau, Germany

As a global automotive supplier for original equipment and Aftermarket, DENSO is one of the world's leading developers and providers of components and systems in the areas of air conditioning, powertrain, electrics, electronics, driver assistance and infotainment, with around 151,000 employees in 38 countries. Established in 2016 in Lindau in the south of Germany and on the borders with Austria and Switzerland, DENSO has invested in ADAS computer vision, by establishing a research and development center. DENSO ADAS Engineering Services GmbH (DNAE) was established to further strengthen technical advances for state-of-the-art camera based algorithm development. Mobility of the future, in particular Autonomous Driving, requires highly advanced technologies to perceive the vehicle’s environment. DNAE works within DENSO’s Global Safety Group, collaborating for advanced technology development. DNAE’s primary focus is to contribute to the autonomous driving domain by providing advanced development for surround camera based technologies for embedded systems. These advanced developments transfer into DENSO's next generation products. The technologies that are developed at the technical center in Lindau, enable an abstract representation of the vehicle’s surroundings, allowing the vehicle to safely perform driving maneuvers by avoiding obstacles such as pedestrians and other road users. Very much looking forward to welcoming enthusiastic and talented Engineers to join our company. http://densojobs.com/latest-jobs/COMPUTER-VISION-DEVELOPER-m-f-11532 Our people and facility can be seen in the following link: https://youtu.be/bemZWn9yd2s

Posted on: 2018-02-08 07:10:23 UTC

SENIOR COMPUTER VISION DEVELOPER (m/f)

DENSO |Lindau, Germany

As a global automotive supplier for original equipment and Aftermarket, DENSO is one of the world's leading developers and providers of components and systems in the areas of air conditioning, powertrain, electrics, electronics, driver assistance and infotainment, with around 151,000 employees in 38 countries. Established in 2016 in Lindau in the south of Germany and on the borders with Austria and Switzerland, DENSO has invested in ADAS computer vision, by establishing a research and development center. DENSO ADAS Engineering Services GmbH (DNAE) was established to further strengthen technical advances for state-of-the-art camera based algorithm development. Mobility of the future, in particular Autonomous Driving, requires highly advanced technologies to perceive the vehicle’s environment. DNAE works within DENSO’s Global Safety Group, collaborating for advanced technology development. DNAE’s primary focus is to contribute to the autonomous driving domain by providing advanced development for surround camera based technologies for embedded systems. These advanced developments transfer into DENSO's next generation products. The technologies that are developed at the technical center in Lindau, enable an abstract representation of the vehicle’s surroundings, allowing the vehicle to safely perform driving maneuvers by avoiding obstacles such as pedestrians and other road users. Very much looking forward to welcoming enthusiastic and talented Engineers to join our company. http://densojobs.com/latest-jobs/SENIOR-COMPUTER-VISION-DEVELOPER-m-f-11533 Our people and facility can be seen in the following link: https://youtu.be/bemZWn9yd2s

Posted on: 2018-02-08 07:09:51 UTC

Specialist in 3D reconstruction / SLAM

DENSO|Lindau, Germany

As a global automotive supplier for original equipment and Aftermarket, DENSO is one of the world's leading developers and providers of components and systems in the areas of air conditioning, powertrain, electrics, electronics, driver assistance and infotainment, with around 151,000 employees in 38 countries. Established in 2016 in Lindau in the south of Germany and on the borders with Austria and Switzerland, DENSO has invested in ADAS computer vision, by establishing a research and development center. DENSO ADAS Engineering Services GmbH (DNAE) was established to further strengthen technical advances for state-of-the-art camera based algorithm development. Mobility of the future, in particular Autonomous Driving, requires highly advanced technologies to perceive the vehicle’s environment. DNAE works within DENSO’s Global Safety Group, collaborating for advanced technology development. DNAE’s primary focus is to contribute to the autonomous driving domain by providing advanced development for surround camera based technologies for embedded systems. These advanced developments transfer into DENSO's next generation products. The technologies that are developed at the technical center in Lindau, enable an abstract representation of the vehicle’s surroundings, allowing the vehicle to safely perform driving maneuvers by avoiding obstacles such as pedestrians and other road users. Very much looking forward to welcoming enthusiastic and talented Engineers to join our company. http://densojobs.com/latest-jobs/Specialist-in-3D-reconstruction-SLAM-11584 Our people and facility can be seen in the following link: https://youtu.be/bemZWn9yd2s

Posted on: 2018-02-08 07:08:42 UTC

Embedded Engineer (NVIDIA)

DENSO |Lindau, Germany

As a global automotive supplier for original equipment and Aftermarket, DENSO is one of the world's leading developers and providers of components and systems in the areas of air conditioning, powertrain, electrics, electronics, driver assistance and infotainment, with around 151,000 employees in 38 countries. Established in 2016 in Lindau in the south of Germany and on the borders with Austria and Switzerland, DENSO has invested in ADAS computer vision, by establishing a research and development center. DENSO ADAS Engineering Services GmbH (DNAE) was established to further strengthen technical advances for state-of-the-art camera based algorithm development. Mobility of the future, in particular Autonomous Driving, requires highly advanced technologies to perceive the vehicle’s environment. DNAE works within DENSO’s Global Safety Group, collaborating for advanced technology development. DNAE’s primary focus is to contribute to the autonomous driving domain by providing advanced development for surround camera based technologies for embedded systems. These advanced developments transfer into DENSO's next generation products. The technologies that are developed at the technical center in Lindau, enable an abstract representation of the vehicle’s surroundings, allowing the vehicle to safely perform driving maneuvers by avoiding obstacles such as pedestrians and other road users. Very much looking forward to welcoming enthusiastic and talented Engineers to join our company. http://densojobs.com/latest-jobs/Embedded-Engineer-NVIDIA-11706 Our people and facility can be seen in the following link: https://youtu.be/bemZWn9yd2s

Posted on: 2018-02-08 06:37:36 UTC

Embedded Engineer (RENESAS)

DENSO |Lindau, Germany

As a global automotive supplier for original equipment and Aftermarket, DENSO is one of the world's leading developers and providers of components and systems in the areas of air conditioning, powertrain, electrics, electronics, driver assistance and infotainment, with around 151,000 employees in 38 countries. Established in 2016 in Lindau in the south of Germany and on the borders with Austria and Switzerland, DENSO has invested in ADAS computer vision, by establishing a research and development center. DENSO ADAS Engineering Services GmbH (DNAE) was established to further strengthen technical advances for state-of-the-art camera based algorithm development. Mobility of the future, in particular Autonomous Driving, requires highly advanced technologies to perceive the vehicle’s environment. DNAE works within DENSO’s Global Safety Group, collaborating for advanced technology development. DNAE’s primary focus is to contribute to the autonomous driving domain by providing advanced development for surround camera based technologies for embedded systems. These advanced developments transfer into DENSO's next generation products. The technologies that are developed at the technical center in Lindau, enable an abstract representation of the vehicle’s surroundings, allowing the vehicle to safely perform driving maneuvers by avoiding obstacles such as pedestrians and other road users. Very much looking forward to welcoming enthusiastic and talented Engineers to join our company. http://densojobs.com/latest-jobs/Embedded-Engineer-RENESAS-11709 Our people and facility can be seen in the following link: https://youtu.be/bemZWn9yd2s

Posted on: 2018-02-08 06:36:26 UTC

Lecturer (Assistant Professor) positions in Computer Vision

University of York|York, UK

The Department of Computer Science at the University of York, UK is recruiting 12 new Lecturers (US equivalent: Assistant Professor) over the next three years. The second round of recruitment is now underway with an expectation to make four appointments. These are permanent positions with an expectation of performing both world leading research and teaching. The Computer Vision and Pattern Recognition (CVPR) research group at York particularly welcomes applicants working in areas related to computer vision, machine learning and computer graphics. Besides a PhD in a relevant area, candidates should have a track record of publishing in the top venues in the area such as TPAMI, IJCV, CVPR, ICCV, ECCV, SIGGRAPH or NIPS. Research in the department is focussed into four themes. The most relevant to the CVPR group is “Beyond Human Vision: novel approaches and algorithms for computer vision, pattern recognition and face analysis”, though the Analytics (including AI) theme and Image analysis within the Healthcare theme are also relevant. CVPR research at York Five academics at York work in areas related to vision: Prof. Edwin Hancock (https://www-users.cs.york.ac.uk/erh), Prof. Richard Wilson (https://www-users.cs.york.ac.uk/wilson), Dr William Smith (https://www-users.cs.york.ac.uk/wsmith), Dr Adrian Bors (https://www-users.cs.york.ac.uk/adrian) and Dr Nick Pears (https://www-users.cs.york.ac.uk/nep). Particular areas of interest include: physics-based vision, statistical learning, face modelling and analysis, structural pattern recognition, complex networks and, more recently, deep learning. We have two lab spaces, including a dark room equipped with a light stage, polarisation imaging equipment and a 3D laser scanner. We have private access to a small GPU-equipped server and shared access to much larger compute facilities. Besides collaborating with the five academics already working in vision, there is also an opportunity to collaborate with other research groups in the department (such as AI, Games and HCI), other departments in the university (we have active collaborations with Psychology, Environment and the York NeuroImaging Centre), the Digital Creativity Labs (http://www.digitalcreativity.ac.uk) and the Doctoral Training Centre in Intelligent Games and Game Intelligence (http://iggi.org.uk). Further general information about the university and city of York and details on how to apply can be found at: http://www.york.ac.uk/csjobs Interested applicants are encouraged to discuss their application in the first instance with Edwin Hancock (edwin.hancock@york.ac.uk), Richard Wilson (richard.wilson@york.ac.uk) and William Smith (william.smith@york.ac.uk). The closing date is 25th February 2018. General enquiries about the application process or more details of the posts should be addressed to cs-lectureships@york.ac.uk.

Posted on: 2018-02-08 06:21:25 UTC

computer vision internship position in Algomus Inc

Algomus Inc|MI, USA.

We are looking for a PhD or Master or even undergrad student to join our computer vision team in Troy, MI (Detroit area). You will be working on a cutting-edge research and development project involving computational photography, computer vision, and machine learning, especially Deep Learning. Together with a small team of motivated researchers and developers, your goal is to prototype and develop practical and scalable solutions for challenging computer vision problems. We aim to publish our results at high-impact conferences and filing patents. Requirements Ideally, you have already completed 1-3 years of experience in image processing, computer vision and machine learning where you have prototyped and/or developed solutions related to real-world problems. The internship period is initially 4 months with the possibility to extend if needed. When you apply, please include your CV and a short description about your previous works related to computer vision, image processing and machine learning (e.g. links to papers, reports or your Github account). Desired Programming Skills: Python: Opencv, Dlib, Numpy, Tensorflow, Keras under linux OS. Candidate should be able to work on site in Algomus Inc office in Troy, Michigan, USA. No remote candidate No visa sponsorship for this position Contact: Taleb Alashkar, Ph.D. taleb.alashkar@algomus.com

Posted on: 2018-02-08 06:19:48 UTC

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging)

12 Sigma Technologies|San Diego, CA, USA

Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies is a well-funded start-up company focused in applying artificial intelligent and deep learning into modern medical image diagnosis and medical data analysis. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits and visa sponsorship. http://www.12sigma.ai Job Responsibilities: Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. · Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. Job Qualifications · PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience · Strong expertise in computer vision and machine learning, with solid understanding of neural networks and the underlying math · Publications at top conferences and journals, or successful industry experience · Extensive experience in designing deep convolutional neural networks using Caffe or similar platforms (TensorFlow, Theano, MxNet, etc.) · Proficient programing skills in C/C++ and Matlab, experience with ITK preferred · Excellent communication and presentation skills · Ability to work efficiently both as an individual and as a team member in a fast-pace working environment · Ability to quickly learn new skills and knowledge.

Posted on: 2018-02-08 06:17:26 UTC

NCS Research & Development (Full time or Internship

NCS|Singapore

NCS R&D’s mission is to invent game changing ideas and bring them to market as compelling, impactful products. We are a newly created division consisting of the Singtel Cognitive and Artificial Intelligence Lab (SCALE https://www.channelnewsasia.com/news/singapore/singtel-ntu-nrf-to-set-up-s-42-4m-lab-to-develop-robotics-9466818 ), a Product Management group, and an Engineering group, forming an end-to-end team for designing and building new products for our customers worldwide. If you are an ambitious, imaginative, curious and independent self-starter who work well on teams, come join our world class team of scientists and engineers to solve high impact real world problems with Artificial Intelligence, Robotics, Aerial Drones, Immersive Technologies, Hyper scale Cloud Computing and Distributed Intelligence at the Edge. We have multiple job openings for scientists, engineers, and product managers at all levels in the R&D organization. Candidates ideally have experience in several of the following areas, and be eager to learn. • Deep Learning, Unsupervised Learning, CNN, RNN, LSTM, GAN, Caffe, Torch, Tensorflow, MXNet • Computer Vision and Graphics: Action Recognition, Face Recognition & Verification, Image & Video Synthesis & Captioning, Object Detection and Tracking, Segmentation, SLAM, large scale 3D reconstruction, Immersive environments, AR/VR/MR, light fields, natural interactions • Speech & Language: voice commands, conversational, code-switching multilingual speech, transcription • Robotics: ROS, Deep Reinforcement Learning, aerial drone control, path planning, dexterous manipulation • Edge intelligence, Embedded processing, Internet of Things • Medical imaging and diagnosis • High Performance Computing, Parallel Computing, Distributed Computing • Coding: Golang, C/C++, Javascript, React, Angular, Qt, OpenCV, CUDA/OpenCL, CUDNN, TensorRT, DSP, Neon, Arm Compute Library, Big Data, Microservices, Docker, Kubernetes, Spark, Storm, Kafka, Hadoop, BlockChain • Product development and management: agile, product requirements, pricing, partnerships NCS, a member of the Singtel Group, is a global information communications and technology products and service provider with presence in over 20 countries. We deliver end-to-end solutions to help enterprises realize business value through digital transformation and the innovative use of technology. Incorporated in 1981 as a part of the National Computer Board, NCS has grown into the principal IT solutions provider for the Singapore government. Over the past 20 years, NCS has successfully implemented more than 3,000 large-scale, mission-critical, and multi-platform projects for Singapore's government ministries and agencies. Application Instructions: Please email your CV to Kar Han Tan at ncs.rnd@ncs.com.sg

Posted on: 2018-02-05 07:53:24 UTC

Senior Computer Vision & Deep Learning Engineers / Researchers

Algorythma|Abu Dhabi

We are looking for motivated and enthusiastic technical professionals for multiple openings for Senior Machine Learning Engineers / Researchers in a fast growing team of high-energy and world-class talent. The candidate must be capable of developing challenge products related to machine learning, computer vision, NLP, data science and IOT. Algorythma is a well-funded start-up company focused on developing game-changing products, using cutting edge technology in the markets of next generation financial systems, investment platforms, education, Fintech, multimedia streaming and others. Selected candidates are to play a key role in the creation, design and implementation of machine learning algorithms, including deep learning, in our products. If you love to innovate and deliver results, then we want you to be on our team. Additionally, the candidate must be willing to relocate to Abu Dhabi, UAE. Please send your CV to larry@algorythma.com for a full description

Posted on: 2018-02-05 07:51:03 UTC

SLAM Expert at Iris Automation

Iris Automation|San Francisco, CA - USA

Iris Automation engineers are at the center of our core mission: building state of the art technologies that enable drones and autonomous vehicles to perceive, understand, and navigate the world we live in. As a meaningful leader in a motivated, creative, and talented team, you research and implement efficient path planning and navigation algorithms that are essential to the Iris Automation Collision Avoidance system. If working on wicked problems with passion, versatility, and an interdisciplinary mindset excites you, our team could be the next step in your career. Required Skills: - Minimum of two years of professional experience working with visual odometry or SLAM - Extensive prior experience with 3D geometry and optimization in constrained environments - Advanced proficiency with C++ programming - Working understanding of GPU programming/CUDA - Ability to quickly iterate real-world solutions based on theoretical understanding

Posted on: 2018-01-26 06:21:40 UTC

Computer Vision Expert at Iris Automation

Iris Automation|San Francisco, CA - USA

Iris Automation engineers are at the center of our core mission: building state of the art technologies that enable drones and autonomous vehicles to perceive, understand, and navigate the world we live in. As a meaningful leader in a motivated, creative, and talented team, you research and implement computer vision algorithms that form the backbone of the Iris Automation Collision Avoidance system. If working on wicked problems with passion, versatility, and an interdisciplinary mindset excites you, our team could be the next step in your career. Required Skills - A PhD or Masters degree in a related field (mathematics, computer vision, machine learning/AI) or equivalent professional experience (4+ years) - Extensive prior experience with OpenCV and other computer vision tools - Prior exposure to a minimum of one of the following subjects: optical flow, 3D reconstruction, object tracking, feature detection - Advanced proficiency with C++ programming - Strong knowledge of statistics - Ability to quickly iterate real-world solutions based on theoretical understanding

Posted on: 2018-01-26 06:20:44 UTC

Two PhD studentships in deep learning and computer vision

Loughborough University|UK

Computer vision and deep learning for underwater vehicle navigation and control https://www.findaphd.com/search/ProjectDetails.aspx?PJID=93825 AI/machine learning based algorithm and software development for action event detection and football player analytics: Funded PhD studentship with StatMetrix https://www.findaphd.com/search/ProjectDetails.aspx?PJID=93365 The 4 years PhD studentship is sponsored by the top UK research council EPSRC and industry. The project focuses on novel research and applications in autonomous underwater vehicle, machine learning and computer vision. If you have deep learning knowledge that would be more helpful. Oversea applicants can apply and obtain this full EU/UK studentship. Please apply online https://www.findaphd.com/search/ProjectDetails.aspx?PJID=93825 . For any inquiries, please contact Dr. Baihua Li, b.li@lboro.ac.uk.

Posted on: 2018-01-20 06:55:47 UTC

Postdoctoral position in 3D Deep Learning (Grenoble – France)

CEA LETI |Grenoble – France

The CEA LETI is seeking a postdoctoral researcher to develop a 3D deep learning approach in occupancy grid analysis. The context of this subject is the development of autonomous vehicles / drones / robots. The vehicle environment is represented by a 3D occupancy grid, in which each cell contains the probability of presence of an object. This grid is refreshed over time, thanks to sensor data (Lidar, Radar, Camera). Higher-level algorithms, like path planning or collision avoidance, think in terms of objects described by their path, speed, and nature. It is thus mandatory to get these objects from individual grid cells, with clustering, classification, and tracking. Many previous publications on this topic comes from the context of vision processing, many of them using deep learning. They show a big computational complexity, and do not benefit from occupancy grids specific characteristics (lack of textures, a priori knowledge of areas of interest…). We want to explore new techniques, tailored to occupation grids, and more compatible with embedded and low cost implementation. The objective of the subject is to determine, from a series of 3D occupation grids, the number and the nature of the different objects, their position and velocity vector, exploiting the recent advances of deep learning on unstructured 3D data.

Posted on: 2018-01-19 10:34:02 UTC

Deep Learning Post-doctoral Fellowship

National Institutes of Health|MD, USA

A post-doctoral fellowship is available for 2D/2.5D/3D/4D radiology image processing in Bethesda, Maryland, USA. Specific interest areas are deep learning, image segmentation, modeling, visualization, pattern recognition, computer-aided diagnosis, multi-organ models, atlases and registration. In particular, advanced skills in image processing (computer vision, mathematical modeling, optimization, machine learning) are sought. The researcher will work closely with staff scientists, imaging specialists and clinicians and have access to state-of-the-art whole body MRI, MRI-PET, low-dose CT scanners, advanced graphics workstations and parallel processing/GPU clusters. Basic Qualifications: Ph.D. in Computer Science, Electrical Engineering, or related discipline with experience in Computer Vision, Machine Learning, or Image Understanding domain, along with successful demonstration of key responsibilities. Desirable Qualifications: Strong theoretical and practical background in computer vision, image and video analysis, such as object detection and recognition, statistical pattern recognition, machine learning, sparse methods and applied optimization. Prior knowledge about medical imaging is a plus but not a must. Enthusiasm in solving real world clinical imaging problems using large datasets, and hands-on coding skills and ability in C++ and Matlab. This appointment is for one year and is renewable thereafter on a periodic basis (up to five years). Applications should include a CV, brief statement of research interests and three letters of reference. Applications are due six weeks after posting of this post. DHHS and NIH are Equal Opportunity Employers. Application Instructions: Email application materials to Dr. Ronald Summers at rms@nih.gov.

Posted on: 2018-01-18 13:22:37 UTC

computer vision research/software interns

Philips Research North America|Cambridge, MA

Description: We are seeking three talented spring/summer interns to contribute to our world-leading contactless monitoring solution. The focus is on developing cutting-edge technologies and platforms to support population monitoring in real clinical scenarios. We have openings for both pure research and software development. Requirements: •PhD or MS candidate in computer science, computer vision, deep learning or reinforcement learning; •Proficient in Python, C/C++, OpenCV; •Experienced in building cloud services; •Skilled at large-scale video processing; •Familiar with popular deep learning libraries like Tensorflow, Pytorch, Keras and Caffe; •Extremely skillful at programming; •Excellent in problem solving; •authorized to work in US; Timing: 3 months in spring/summer 2018. Start date is flexible. Application Instructions: Apply here https://philips.avature.net/campuscareers/ProjectDetail/Cambridge-Massachusetts-United-States-Intern-Contactless-Crowd-Monitoring-Computer-Vision-Research-Cambridge-MA-Summer-2018/12311 or write email to haibo.wang@philips.com

Posted on: 2018-01-16 06:22:50 UTC

Doctoral student and post-doc positions in computer vision and machine learning

Aalto University|Helsinki, Finland

Computer vision is a rapidly developing field that is at the forefront of recent advances in artificial intelligence. Our group has broad research interests within computer vision. We are pursuing problems both in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, image-based 3D modeling and localization) and in semantic computer vision (including topics such as object detection and recognition, and deep learning). We are looking for researchers interested in both basic research and applications of computer vision. Students with good programming skills and strong background in mathematics are especially encouraged to apply. For further information visit: https://users.aalto.fi/~kannalj1/

Posted on: 2018-01-15 08:43:03 UTC

Doctoral student and post-doctoral researcher positions in 3D Computer Vision

University of Oulu|Finland

Applications are invited for two full-time doctoral student positions and a post-doc position for a maximum of four years, starting at the latest on September 1, 2018 in the Center for Machine Vision and Signal Analysis (CMVS) research unit, University of Oulu, Finland (http://www.oulu.fi/cmvs/). The research focuses on developing new 3D computer vision methods and algorithms to applications of mixed reality where real and virtual world are merged. Relevant research problems include but are not limited to pose estimation, multi-view stereo, structure-from-motion, simultaneous localization and mapping, and 3D object recognition. The doctoral student must possess a Master’s degree in computer science, electrical engineering or related fields with previous experience on computer vision or machine learning. Strong mathematical and programming skills with C/C++/Matlab/Python are respected. Degree must have been completed with good grades by August 31, 2018 (or latest before the job contract starts). The post-doc must possess a doctoral degree in computer science, electrical engineering or related fields. Publications in top-tier international conferences and journals in computer vision, augmented reality or machine learning are expected as well as good mathematical and programming skills. Applications must be submitted using the electronic application form by February 16, 2018, 24:00 (Finnish local time). More information: https://rekry.saima.fi/certiahome/open_job_view.html?did=5600&jc=1&id=00004902&lang=en

Posted on: 2018-01-12 06:02:07 UTC

Call for postdoctoral researcher at Kyoto University: Neuro-imaging with endoscope microscopy

Kyoto University|Japan

We are seeking highly motivated postdoctoral researchers working on a project (from 2017 October to 2023 March) developing neuro-imaging with endoscope microscopy to reveal to reveal the function of the corticostriatal circuit of the mouse brain. We require a candidate with a solid background on one of the following topics: local circuit model of neurons, neural basis of reinforcement learning, and signal processing of neuronal activity. For this position, basic qualifications include Ph.D. in relevant fields with a proven track record of peer-reviewed publications, as well as excellent verbal and written communication skills in English and/or Japanese. The researcher will participate in the project with our researchers from various backgrounds including computational neuroscience, systems biology, bioinformatics, mathematical engineering, and machine learning. Our laboratory is also collaborating with Advanced Telecommunications Research Institute International (ATR), University of Tokyo, Okinawa Institute of science and technology (OIST), RIKEN Brain Science Institute, and other international laboratories. [Job title and Job description] Title is a Full-time Researcher / Full-time Research Engineer Work location is on the main campus of Kyoto University. (Yoshida honmachi 36-1, Sakyo-ku, Kyoto-city, Japan. 606-8501) The contract is annually renewable up to the end of those projects based on the evaluation. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include weekends, public holidays, Year-end and New Year holidays, Foundation Day, and summer vacation. These and other provisions are in accordance with Kyoto University’s regulations. [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have a Ph.D. (or be near completion). - have strong motivations and ambitions to participate in the research above. [Deadline for application] Feb. 15th (will remain open if positions are not filled) [Send application to] Shigeyuki Oba Integrated Systems Biology Laboratory (Prof. Shin Ishii), Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: Shigeyuki Oba <ishii-secr [at] sys.i.kyoto-u.ac.jp> http://ishiilab.jp/kyoto/en/

Posted on: 2018-01-04 06:11:48 UTC

Post-doctoral Researcher in Computer Vision

Tampere University of Technology|Finland

We are seeking a post-doctoral researcher to collaborate with Prof. Esa Rahtu (http://esa.rahtu.fi) at the Department of Signal Processing at Tampere University of Technology in Finland. We are a growing research group working broadly in the field of computer vision. We are pursuing research problems in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and 3D scene reconstruction), in semantic computer vision (including topics such as image based localization, object detection and recognition, and deep learning), and robot vision (including topics such as human robot interaction). The post-doctoral researcher will participate in developing deep learning systems for computer vision problems. Possible research areas (not limited to) include: 1) developing an universal representation model that is able to address multiple visual recognition tasks simultaneously, 2) developing deep learning models able to learn from several information sources to understand natural 3D visual environments similar to those encountered by humans, and 3) deep learning based image generation and editing approaches. The specific research topics will be chosen together with the applicant to match their personal interests. An ideal candidate should possess (or be near completion of) a relevant PhD/DPhil in computer vision or machine learning, together with a solid mathematical background, good programming skills and a strong academic publication record. The starting date is negotiable. The starting salary is roughly 3498,53 EUR per month or more, depending on the experience of the applicant. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. More information at http://esa.rahtu.fi/Vacancies/index_pdra.html Application Instructions If you are interested in joining our group, please submit your complete application via email to Prof. Esa Rahtu (esa.rahtu@tut.fi) prefixing the email subject with the string [PDR Position]. The closing date of the call is 28th February 2018. Applications should include the following (combined into one pdf): - Motivation letter - Curriculum vitae - Brief research statement - Transcript of doctoral studies - Contact details of two senior academics willing to give more information The review of applications will be done on a rolling basis, so early submissions are strongly encouraged. For informal queries contact Prof. Esa Rahtu (esa.rahtu@tut.fi , http://esa.rahtu.fi). More information at http://esa.rahtu.fi/Vacancies/index_pdra.html

Posted on: 2018-01-04 06:09:32 UTC

PhD Student Position in Computer Vision

Department of Signal Processing in Tampere University of Technology|Finland

We are a growing research group working broadly in the field of computer vision. We are pursuing research problems in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and 3D scene reconstruction), in semantic computer vision (including topics such as image based localization, object detection and recognition, and deep learning), and robot vision (including topics such as human robot interaction). We are looking for a new PhD candidate to our group. Students with good programming skills and strong background in mathematics are especially encouraged to apply. The doctoral student will participate in developing deep learning systems for computer vision problems. In particular, we are interested in following topics: 1) developing an universal representation model that is able to address multiple visual recognition tasks simultaneously, 2) developing deep learning models able to learn from several information sources to understand natural 3D visual environments similar to those encountered by humans, and 3) deep learning based image generation and editing approaches. The specific research topics will be chosen together with the students to match their personal interests. The main supervisor of the work will be Prof. Esa Rahtu (http://esa.rahtu.fi) An ideal candidate should have a Master's degree in computer science, signal processing, electrical engineering, physics, mathematics, or equivalent. Also those who are expected to finish their Master's degree by spring 2018 may apply. Previous research experience and publications are beneficial but not required. Good programming skills (e.g. Matlab or C++) and fluency in spoken and written English are required. The starting date is negotiable. The starting salary is 2305,57 - 2424,72 EUR per month and it will increase during the studies depending on the progress (up to 3472,86 EUR per month). In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. More information at http://esa.rahtu.fi/Vacancies/index_phd.html Application Instructions If you are interested in joining our group, please submit your complete application via email to Prof. Esa Rahtu (esa.rahtu@tut.fi) prefixing the email subject with the string [PhD Positions]. The closing date of the call is 11th February 2018. Applications should include the following (combined into one pdf): - Motivation letter - Curriculum vitae - School and university score records - Contact details or support letter from one to three academic referees The review of applications will be done on a rolling basis, so early submissions are strongly encouraged. For all queries contact Prof. Esa Rahtu (esa.rahtu@tut.fi , http://esa.rahtu.fi). More information at http://esa.rahtu.fi/Vacancies/index_phd.html

Posted on: 2018-01-04 06:08:36 UTC

Research Intern - Vision and Deep Learning R&D Posted: January 2, 2018

Siemens Corporate Technology |Princeton, NJ

The Vision Technology and Solutions group within Siemens Corporate Technology in Princeton, NJ has immediate openings for internships in computer vision and perception. We address a wide variety of computer vision and perception problems and have a strong publication record in leading journals and conferences. You will have opportunities to test and expand your knowledge with a focus on innovation and real-world applications. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. We offer flat hierarchies and foster teams with a mix of junior and senior experts. Application Instructions: Please kindly send your CV to ziyan.wu(at)siemens.com. Thanks.

Posted on: 2018-01-03 09:29:44 UTC

SRI’s Center for Vision Technology

SRI|Princeton, NJ

SRI International is a nonprofit, independent research center serving government and industry. We work on some of the world’s most important problems, collaborating across technical disciplines to spark new ideas and solutions. From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society. SRI’s Center for Vision Technologies (located in Princeton, NJ) is comprised of the Vision & Robotics, Vision & Learning, and Embedded Vision Labs, and works in technologies and applications covering the spectrum from low-level vision to high-level vision. We pride ourselves in pushing the frontiers of R&D in Video and Vision Technologies with the goal of “making Vision work in the real world”. If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you. We work on wide range of projects ranging from basic research to applied research for government and commercial applications. Our group has spun out 6 companies in the past couple of years. SRI’s Center for Vision Technology located in Princeton, NJ has a variety of technical staff and intern positions currently open at various levels for different areas in Computer Vision, Robotics, AI and Machine Learning including: Computational Sensing • Multi-sensor fusion and Embedded Vision 2D/3D reasoning • GPS denied navigation and 3D mapping • Augmented reality • Surveillance • Biometrics that cannot be spoofed Vision analytics • Activity understanding • Image search. Fine grain recognition & Visual question reasoning • Social media reasoning Machine Learning • Explainable AI • Life Long Learning Human behavior modeling • Driver State Monitoring • Communicating with Computers If you are interested in applying for a position with SRI, please visit the Careers section of our website at https://www.sri.com/careers and search key word: Vision. You can also email erica.saunders@sri.com.

Posted on: 2017-12-22 11:46:40 UTC

Post Doc - Computer Graphics and Multimedia Systems Group

The University of Siegen|German

The University of Siegen is an innovative and interdisciplinary university with some 20,000 students and 1,300 scientists, and 700 administrative and technical employees. The University of Siegen offers an excellent study and research environment encompassing humanities and social sciences, as well as economics, natural sciences and engineering, and numerous interdisciplinary research projects. The University of Siegen has been certified as a family friendly university and offers Dual Career Service since 2006. The Computer Graphics and Multimedia Systems Group of the Faculty of Science and Technology at the University of Siegen - aims to fill at the earliest possible date the following vacancy one Post Doc (fulltime position, salary scale 13 TV-L) This position is initially limited in time to a period of two years with potential for contract prolongation. The term is limited by the regulations of the German Wissenschaftszeitvertragsgesetz (WissZeitVG). Your tasks: Research and development of innovative methods of image- and scene analysis on RGB- and RGB-D images, or image sequences; real-time scene reconstruction, contextual scientific visualization, or physically based particle simulation (e.g. for fluids). Your profile: We are looking for a talented researcher with focus on Computer Graphics or Computer Vision. We expect excellent PhD grades in the fields of Informatics, Mathematics or Electrical Engineering with a clear relation to Computer Graphics or Computer Vision, which finds reflection in pertinent high-level publications. We also expect excellent knowledge of spoken and written English. It is a place of work to promote your own scientific or artistic qualification. During working time, this opportunity will be given. The University of Siegen is an equal-opportunity employer and is committed to increasing the number of women involved in research and teaching. We therefore encourage qualified women to apply. The University of Siegen offers excellent opportunities to combine career and family. Applications from competent disabled persons are welcome. Written applications including a full CV, certificates, grade transcripts and two letters of recommendation should be sent to Prof. Andreas Kolb, University of Siegen, ET-I, Computergraphik, andreas.kolb@uni-siegen.de, no later than 12. Januar 2018 under ref. mark 2017/Fak.IV/ETI/WM/208 For more information on the Chair and the University of Siegen please refer to our homepage http://www.cg.informatik.uni-siegen.de and www.uni-siegen.de.

Posted on: 2017-12-18 08:02:49 UTC

Nine Postdoctoral or PhD Positions in Machine Vision and Learning

University of Heidelberg|Germany

Heidelberg University invites applications for nine positions to be filled by senior researchers and PhD students. The positions are affiliated with the Heidelberg Collaboratory for Image Processing (HCI, hci.iwr.uni-heidelberg.de), which comprises four research groups (Hamprecht, Ommer, Rother, Schnörr) focused on the themes of Image Analysis and Learning, Computer Vision, Visual Learning, and Mathematical Image Analysis. Postdocs will be hired for an initial period of two years, PhD students for three years with the option of further extension (funding already secured). Prospective candidates have a degree in Computer Science, Electrical Engineering, Mathematics, or Physics. Postdoctoral applicants must have published in first-rate venues for Machine Learning, Computer Vision, or Mathematical Imaging. Besides a strong mathematical background, we require fluency in advanced C++ or python programming as well as in English. The gross salary ranges from 45.8kEUR to 71.6kEUR (i.e. TVL/13 up to TVL/14) plus social benefits, depending on qualification and experience. The envisioned starting date is Spring 2018 but is negotiable. Applications should include a motivation letter, which also states the future research interests, a complete CV, the PhD or MSc thesis (or a link to it), a list of publications, and two references (name, homepage). Screening will start January 12, 2018, so please apply beforehand by email in PDF-format to hci@iwr.uni-heidelberg.de for full consideration. For further inquiries, please contact Björn Ommer (hci.iwr.uni-heidelberg.de/Staff/bommer).

Posted on: 2017-12-18 05:38:34 UTC

PhD position for PhD Thesis: “3D Scan Registration Using Projected Fiducial Markers” at Siemens Munich, Germany

Siemens Munich|Germany

In the fields of computer vision and optical metrology, scan registration is a frequent and challenging task. For a set of RGB-D scans (e.g. 3D point clouds or meshes), the problem consists in finding a set of corresponding transformations to align them in a common (world-)coordinate system. The multitude of approaches known in the state of the art can be classified into at least two categories: marker-assisted and markerless methods. Markerless methods purely rely on natural object features such as shape and texture. Doing so, they impose certain requirements on the object to be reconstructed, limiting application spectrum and robustness of such methods. Secondly, marker-assisted methods introduce artificial features in the form of fiducial markers. Such methods excel with respect to robustness and versatility, but they require a time-consuming and sometimes technically prohibitive step of marker attachment; besides, valuable object data lost in the marker areas. The scope of this thesis is to explore a novel approach to scan registration which can be considered a hybrid of the above. Using projected fiducial markers, the time-consuming marker placement step is avoided, while robustness and versatility are maximized, because natural object features are not a requirement. The thesis shall emphasize on the Computer Vision aspect of scan registration; however, the candidate should also be interested in the hardware/physics side of things, potentially being able and willing to address the optical challenges of marker pattern design and projection. Siemens AG Corporate Technology Research in Digitalization and Automation Imaging Inspection & Nondestructive Testing CT RDA SII INT-DE Otto-Hahn-Ring 6 81739 München, Deutschland Tel.: +49 89 636-634325 Fax: +49 89 636-46192 mailto:patrick.wissmann@siemens.com www.siemens.com/ingenuityforlife

Posted on: 2017-12-12 04:42:30 UTC

Summer Intern positions in Deep Learning / Computer Vision / Medical Imaging

12 Sigma Technologies|San Diego, CA

Posted on: 2017-12-12 04:39:42 UTC

15 PhD positions in computational brain imaging

Technical University of Denmark (coordinator)|Denmark - Switzerland - UK - Austria - Belgium - Netherlands - Germany

TRABIT (https://trabit.eu) is an ambitious EU-funded project aiming to develop new computational methods to analyze the ``wild'' type of neuroimaging data arising in the standard clinical treatment of brain disorders. TRABIT is currently inviting applications for 15 early-stage researcher (ESR) positions in a dedicated PhD research program involving some of Europe's most renowned universities, research hospitals, and industrial R&D divisions. The selected ESRs will receive an interdisciplinary research training, with a special emphasis on overall career development and on the translation from academic research to industry and clinical practice. TRABIT has the explicit ambition to bring novel quantitative image computing methods into the clinic, enabling improved healthcare delivery to patients with brain disease. We offer: - An exciting interdisciplinary research environment of eight top-level universities and research institutes, six hospitals, and five industrial partners. - International secondments to other partners in the TRABIT network; dedicated network-wide training events and conferences; anticipated participation in other international conferences and workshops. - Co-supervision of your research by experts from industry, academia and hospitals, as well as access to state-of-the-art computational facilities and large collections of clinical neuroimaging data to support your research. - Special emphasis on career development through transferable skills training including entrepreneurship, innovation, IPR, industry work, scientific writing, etc. - An employment contract or other direct contract with equivalent benefits, including social security coverage, with a competitive salary (cf. the specific ESR descriptions for details); an additional mobility allowance of 600 EUR/month; and a family allowance of 500 EUR/month if you have a family at the time of recruitment Available positions: ESR1: Icometrix - Belgium (https://trabit.eu/index.php/positions/esr-1) ESR2: Ecole Polytechnique Fédérale de Lausanne - Switzerland (https://trabit.eu/index.php/positions/esr-2) ESR3: Technical University of Denmark - Denmark (https://trabit.eu/index.php/positions/esr-3) ESR4: University College London - UK (https://trabit.eu/index.php/positions/esr-4) ESR5: Ecole Polytechnique Fédérale de Lausanne - Switzerland (https://trabit.eu/index.php/positions/esr-5) ESR6: Medical University of Vienna - Austria (https://trabit.eu/index.php/positions/esr-6) ESR7: Technische Universität München - Germany (https://trabit.eu/index.php/positions/esr-7) ESR8: Technical University of Denmark - Denmark (https://trabit.eu/index.php/positions/esr-8) ESR9: Technische Universiteit Eindhoven - The Netherlands (https://trabit.eu/index.php/positions/esr-9) ESR10: Philips Medical Systems Nederland B.V. - The Netherlands (https://trabit.eu/index.php/positions/esr-10) ESR11: Fraunhofer MEVIS - Germany (https://trabit.eu/index.php/positions/esr-11) ESR12: Technische Universität München - Germany (https://trabit.eu/index.php/positions/esr-12) ESR13: Capital Region of Denmark - Denmark (https://trabit.eu/index.php/positions/esr-13) ESR14: Fraunhofer MEVIS - Germany (https://trabit.eu/index.php/positions/esr-14) ESR15: Icometrix - Belgium (https://trabit.eu/index.php/positions/esr-15) To apply: Please follow the application instructions detailed at the TRABIT website: https://trabit.eu/index.php/vacancies. The application deadline is 10 January 2018. Link or contact email: https://trabit.eu

Posted on: 2017-12-12 03:40:03 UTC

Medical Image Analysis / Machine Learning Intern

Intuitive Surgical Inc|Sunnyvale, California

Are you passionate about applying state-of-the-art Deep Learning on Medical Image Analysis and getting on the fast track to benefit tens of thousands of patients? Primary Function of Position The candidate will work with a top-notch multi-disciplinary R&D team to develop surgical planning software on a robotic surgical platform. We are seeking a talented individual to develop robust algorithms to segment key anatomical structures from 3d volumetric images, in a fully automatic and semi-automatic fashion. Machine learning/deep learning based methods are especially interesting due to its great success. We have datasets with ground-truth for both training and validation. Expected contributions include literature survey, algorithm design and implementation, testing on a large dataset with ground truth. Skill/Job Requirements • A passion for developing technologies to improve the lives of hundreds of thousands of people. • Self-motivated, self-disciplined and ability to work independently. • Ability to perform fast prototyping and testing iterations and thinking outside the box to solve practical problems. • Advanced MS or PhD student in the area of Medical Image Analysis, Machine Learning or Computer Vision. • Solid knowledge and/or experience in one or more of the following areas is highly desired: 1) volumetric image segmentation, 2) semantic image segmentation, 3) machine learning / deep learning, 4) computer vision. • Proficiency with Python and/or C++ to produce quick prototype and high quality code. • Familiarity with standard medical image libraries and/or machine/deep learning packages. Commitment: Must be available to work full-time hours for 3-6 months starting as early as now. We are an AA/EEO/Veterans/Disabled employer Contact: Tao Zhao, PhD Managing Principal, Vision and Medical Imaging tao.zhao@intusurg.com Intuitive Surgical Inc.

Posted on: 2017-12-11 03:28:06 UTC

3D Scene Completion

Technicolor R&I|Rennes, France

We are looking for an intern in Technicolor R&I Rennes, France to work on 3D scene completion and texture reconstruction & inpainting applied for Diminished Reality. The successful candidate will join the Augmented Reality team to focus on the real-time removal of an undesired object in a real 3D scene. We will assume that a textured 3D model of the scene is available. Both geometric and photometric spatio-temporal consistencies should be maintained. The internship will consist in the analysis of previous works related to diminished reality and video inpainting, but also to real-time blending of textures. A solution suited to our real-time needs will be specified, implemented, tested and improved. Several cases with incremental complexity will be addressed. A particular attention will be given to the dissemination aspects: presentation to the project team, demonstrator, and technical report. Please send your CV and a cover letter to: mohammad.rouhani@technicolor.com

Posted on: 2017-12-08 10:26:20 UTC

Postdoctoral Position in Deep Learning Applied to Optical Imaging

EPFL|Switzerland

The Laboratory of Optics (LO) at EPFL has a postdoctoral opening for the study of optical imaging using deep learning techniques. Learning techniques opens many new research opportunities in optical imaging and several groups have joined the community. Recent studies, from our group and also others, have demonstrated the potential of using neural networks for improving the reconstructions. The postdoctoral scholar will develop numerical algorithms based on learning theory to optimize the solution considering different types of prior information. The work will be carried out in collaboration with PhD students in LO working on simulations and experiments. Requirements: • PhD degree in computer sciences or engineering. • Solid background in deep learning techniques. • Strong interest and experience in teamwork, supervision of graduate students, and project coordination. • Previous experience in optics, vision, or imaging is an asset. • Proficiency in written and spoken English. Offer: • Access to world class research facilities. • Entering a dynamic and diverse team of highly motivated students and scientists doing research in an interdisciplinary field. • A full-time contract for a period of two years with the possibility for extension. • A competitive salary (>80,000 CHF yearly gross). The start date for this position is January 1st, 2018. If interested, please send your application package including a cover letter and a CV with publications and referees lists to info.lo@epfl.ch. Relevant publications from our group: [1] U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, “Learning approach to optical tomography,” Optica, vol. 2, no. 6, pp. 517–522, 2015. [2] U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, “Optical tomographic image reconstruction based on beam propagation and sparse regularization,” IEEE Transactions on Computational Imaging, vol. 2, no. 1, pp. 59–70, 2016. [3] J. Lim, A. Goy, M. H. Shoreh, M. Unser, and D. Psaltis, “Assessment of learning tomography using Mie theory,” arXiv:1705.10410, 2017.

Posted on: 2017-12-02 14:06:22 UTC

Assistant Professor of Electrical and Computer Engineering

University of North Carolina at Charlotte|Charlotte, NC USA

The Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte invites applications for tenure-track Assistant Professor in electrical and computer engineering starting in Fall 2018. Candidates are sought with research interests in signal and image processing, robotics, computer vision, machine learning, Al, sensor fusion and autonomous systems. Outstanding candidates in other areas are encouraged to apply. Priority will be given to candidates having original and promising research that integrates well with existing department strengths. Candidates should be committed to excellence in teaching and the creation of a strong externally-sponsored research program complementary to the department. Faculty duties include teaching at the undergraduate and graduate levels, development of sponsored research programs, supervision of student research, and academic services. A Ph.D. degree in Electrical or Computer Engineering or related areas is required. The ECE department offers B.S. degrees in both Electrical Engineering and Computer Engineering, and M.S. and Ph.D. degrees, with over 625 undergraduate and over 200 graduate students; see http://ece.uncc.edu. Applications must be made electronically at https://jobs.uncc.edu (Position # 004378). Applicants should submit a cover letter, a complete resume, a statement of teaching and research experience/goals, and contact information of at least three references. Review of applications will begin immediately and position will remain open until filled. Women and minority candidates are encouraged to apply. The University of North Carolina at Charlotte is an EOE/AA employer and an ADVANCE Institution.

Posted on: 2017-12-02 14:04:17 UTC

Associate Professor in Computer Science

Norwegian University of Science and Technology|Norway

The Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) http://www.ntnu.edu/ie invites applications for a full-time permanent associate professorship in Computer Science affiliated with the Department of Computer Science, campus Gjøvik (http://www.ntnu.edu/idi). The associate professor is expected to play a major role in be teaching, supervision and research in applied computer science. Read more and apply at https://www.jobbnorge.no/en/available-jobs/job/145171/associate-professor-in-computer-science

Posted on: 2017-12-01 05:56:41 UTC

Postdoctoral position in computer vision and language (Paris, France)

CEA LIST and CNRS LIMSI|Palaiseau (15 km south Paris, France)

The CEA LIST and CNRS LIMSI (both located at the Paris-Saclay University in France) are seeking a postdoctoral researcher to develop deep learning approaches in computer vision and/or natural language processing. The CEA and CNRS are two major research centers in France, both of them ranked in the top-10 World’s Most Innovative Research Institutions by Reuters in 2016 and 2017. The post-doc deals with the disambiguation of visual and textual content, in the context of an Entity Disambiguation task, also known as Entity Linking. It consists in connecting an entity extracted from a document to known and unique entities in a knowledge base. On nowadays, actual Entity Linking, with regard to millions of instances in the knowledge base, is only applied to textual content. The proposed post-doc consists in exploring the usage of visual information to improve the disambiguation. It thus relates to both computer vision and natural language processing and the candidate will work with researchers of both domains, relying on machine learning and deep learning methods. In particular, a core problem is that of the design of a textual/visual joint space in the same as those used in visual question answering and automatic image captioning. An ideal candidate should possess (or be near completion of) a doctoral degree in computer vision, machine learning or natural language processing together with a solid mathematical background, good programming skills and a strong academic publication record. The starting date is first semester 2018. The contract is for a 1-year period with a possible extension. Please apply by sending by mail a CV, a focused motivation letter and one to three recommendation letters to herve.le-borgne@cea.fr and bg@limsi.fr.

Posted on: 2017-11-29 03:08:10 UTC

Computer Vision Research Scientist/Engineer/Interns

DigitalOcean|New York City, Boston, Other locations

Please e-mail me to meet at ICCV: ajaimes@digitalocean.com (Alex Jaimes, Head of R&D, DigitalOcean) We are looking for Computer Vision and Machine Learning Research Scientists, Engineers, and Interns. If you’ve published in top-tier venues (CVPR, ICCV, NIPs, etc), are highly creative, enthusiastic, want to impact our 1+ million developers, and want to help us define the future of Computer Vision on the Cloud, please read on. DigitalOcean is a dynamic, high-growth technology company (recently in Crain's as one of NYC's fastest growing startups) that serves a robust and passionate community of developers around the world. Our mission is to simplify cloud computing for every developer. We are working on solving some of the most challenging and interesting technology projects around, on a scale unmatched by few companies. DigitalOcean has become the second largest and fastest growing cloud computing platform in the total number of public facing apps and websites, according to Netcraft.com. The company has raised $123 million in funding from Andreessen Horowitz, Access Industries, IA Ventures, CrunchFund, and Techstars. We want people who are passionate about building features that you and your peers will love. As a Research Scientist, you’ll work on improving the state of the art in Computer Vision, and in helping us develop general purpose tools for all aspects of Computer Vision. You’ll be able (and expected) to publish in top-tier venues, talk about your work, and work closely with Engineering, Design, and Product partners to create tools for developers and enthusiasts to embrace Computer Vision. Job location: NYC, Boston, and other locations. NOTE: job opening on our website is for "Senior". Simply indicate in the application IF you are applying for an internship. Also, all levels considered, not just Senior.

Posted on: 2017-11-18 03:55:02 UTC

Postdoctoral Research Associate – Imaging, Signals and Machine Learning

Oak Ridge National Laboratory| Oak Ridge, Tennessee

The Imaging, Signals, and Machine Learning (ISML) group at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate with expertise in computer vision and image processing. The ISML group conducts applied computer vision research and development addressing important issues of industrial and economic competitiveness, biomedical measurement science, and national security. The group consists of staff members with backgrounds in electrical engineering, computer science, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations. To view the job description and apply, please visit http://bit.ly/ISML-Postdoc

Posted on: 2017-11-18 03:53:36 UTC

Computer Vision Research Scientist/Engineer/Interns

DigitalOcean|New York City, Boston, Other locations

Posted on: 2017-10-26 11:04:03 UTC

Lead Data Scientist – Computer Vision/Deep Learning

HERE Technologies|Chicago, IL

HERE, the Open Location Platform company, enables people, enterprises and cities to harness the power of location. By making sense of the world through the lens of location we empower our customers to achieve better outcomes – from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. To learn more about HERE, including our new generation of cloud-based location platform services, visit http://360.here.com. Join a team of highly skilled and innovative engineers to work on large-scale Deep Learning problem. Join us in building the most precise and detailed digital map in the world. This is an excellent opportunity to work with an energetic and dedicated team on highly visible, technology-driven problems with a direct connection to the success of the company. No prior experience in the domain of Maps is required. We are looking for people who remain learners throughout their career, and whose inquisitiveness and love of technology will propel our products forward. Our work environment features short release cycles, experienced and talented employees, and a fast-paced work environment. You should be someone who takes pride in your work, honors your commitments, and enjoys working with teammates to find creative solutions to thorny problems. If you want to work on the cutting edge of Big Data and with some of the world's largest, high quality data sets, this job is for you! Experience working with open source project/enterprise software is a plus. Experience with OpenCV and PCL preferred. Expert in working with and publishing in Deep Learning Experience working with open source projects/enterprise software (revision control, continuous integration, etc.) Requirements: PhD or MS in Computer Science or Electrical Engineering or related field 3+ (with PhD) or 5+ (with MS) year working experience with and/or publishing in Deep Learning Experience with computer vision, image processing and deep learning (CNN,RNN,etc) Experience with Caffe, Tensorflow or other model training software Fluent in Python Fluent in C++ on a Linux platform Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets.

Posted on: 2017-10-20 03:38:56 UTC

OnSiteIQ Job

OnSiteIQ|New York

Company Description: OnSiteIQ is an emerging startup providing automated site documentation and safety analysis to the construction industry. Our mission is to enhance productivity and safety on construction sites by providing a novel and interactive platform Job Description: You will be developing computer vision algorithms in C++ based on construction video feeds in an emerging cutting-edge Startup Company. This is a high-influence, high-responsivity position within an early-stage startup and your work will directly impact the future generation of the company. This is a unique opportunity to gain hands-on experience working at a startup and being part of a dynamic product rollout and launch. If you are an ambitious, independent self-starter, this position will be a great fit for you. Qualifications for this job are as follows: MS or Ph.D. degree in Computer Science, Computer Engineering, Electronics Engineering or other related/equivalent engineering program 5+ years of software development experience 2+ years of experience in 3D computer vision Proficiency in C++/Python Proficiency in Linux Experience with OpenCV and Eigen Experience with SFM, SLAM, DBoW, FABMAP, G2O

Posted on: 2017-10-20 03:38:03 UTC

Computer Vision Corporate Research Engineer, ML and Deep Learning

Hoppeexecutivesearch, Amsterdam|Hoppe Executive Search

Hoppe Executive Search is specialised in Computer Vision, Deep Learning and Machine Learning Engineers. We supply to our international clients from our selected candidates. Candidates have at least a Master's level university education, and we focus on candidates with Doctorates (PhD) and on post-Doctorate reseachers with experience. Besides Computer Vision, we are interested to increase the number of outstanding candidates in: - Machine Learning; - Deep Learning; - Mechical Engineering, Signalling, Robotics and data-drive AI. Please indicate your specialisation on the application form / submit button on https://hoppeexecutivesearch.workable.com/jobs/242494 Requirements: Outstanding experience with Computer Vision methods such as detection and tracking, reconstruction and SLAM. We are looking for candidates who also have experience in deep learning. Successful candidatres have a high level of proficiency in C++ programming. Master's, PhD and post-doc in computer science, robotics and electrical/electronical engineering from the leading universities in Europe and elsewhere (e.g. Max Planck institut, KU Leuven, Delft, ETH, EPFL, INRIA, Ecole de Ponts Paritech, Cambridge) plus: - 3 years of relevant experience; - good level of processing camera and sensor data; - Current and applied understanding of Machine Learning and NN methods; - Maths and algorithm analysis skills; - Optimatisation; - large software systems and SDK knowledge; - performance optimisation and debugging skills. Our candidates are selected on the ability to work in multi-disciplinary teams, so the ability to connect with other team members is key. Our teams are by definition internationally oriented. Area's of applied knowledge: Automotive, AR/VR, Medical, Robotics

Posted on: 2017-10-20 03:36:00 UTC

COMPUTER VISION DEVELOPER

wrnch|Montreal, Canada

wrnch develops deep real-time computer vision technology that is used to create innovative AI applications by some of the world’s largest companies. If the prospect of being on the bleeding edge computer vision technology excites you, this might be the opportunity you have been dreaming of! wrnch’s software development team develops a unique high performance computer vision engine that runs both in the cloud and on the edge (mobile). Our competences at this point include deep learning, CNN, GPU optimization and game development (Unity & Unreal). As our company name implies, the software development team is the core of wrnch. The team is currently around 10 and is expected to grow to 20 within the next 12 months. As an early member of this group, you will have a unique opportunity to help to build this team and shape its culture. Role and Responsibilities We are now recruiting programmers at all levels to help us to build out the SDK and deliver customer projects. As a wrnch software developer, you will work closely with the wrnch development team on the successful and timely ongoing delivery of the SDK and related projects. The ideal candidate is a driven and talented coder with a proven track record of quickly solving difficult technical problems and a hunger to become a great programmer. Responsibilities • Develop production-quality code for the wrnch SDK and customer projects Requirements • Bachelor’s or higher degree in Computer Science, Engineering or related field • Self-directed • Fast learner • Knowledge of C++ Nice to Haves • Experience in video game development especially Unity • Knowledge of OpenCL, CUDA, etc. • Passion for developing applications in any of the following domains: computer vision, video games, computer graphics, AR • Nonetheless, a proven passion for excellence trumps any specific experience. If you are excited by this possibility and see yourself as a strong fit for the role, please reach out and visit us at http://www.wrnch.com/careers N.B. At this time, wrnch can only hire candidates with valid Canadian work permits.

Posted on: 2017-10-20 03:34:49 UTC

COMPUTER VISION SCIENTIST

wrnch|Montreal, Canada

wrnch develops deep real-time computer vision technology that is used to create innovative applications by some of the world’s largest companies. If the prospect of building the future of computer vision excites you, this might be the opportunity you have been dreaming of! wrnch’s software development team develops a unique high performance computer vision engine that runs both in the cloud and on the edge (mobile). Our competences at this point include deep learning, CNN, GPU optimization, human simulation and game development (Unity & Unreal). As our company name implies, the software development team is the core of wrnch. The team is currently around 10 and is expected to grow to 20 within the next 12 months. As an early member of this group, you will have a unique opportunity to help to build this team and shape its culture. Role and Responsibilities We are now recruiting computer vision scientists at all levels to help us to build out the SDK’s computer vision capabilities. As a wrnch scientist, you will work closely with the wrnch development team on the successful and timely ongoing delivery of the SDK and related projects. The ideal candidate is a driven and talented scientist with a proven track record of quickly solving difficult technical problems and a hunger to use computer vision and machine learning to positively impact millions of lives. Responsibilities • Develop algorithms and CNNs to power the computer vision capabilities of the wrnch SDK • Perform scientific analysis and share insights and best practices across the development team Requirements • Ph.D. in Computer Science, Engineering or related field specializing in computer vision • Self-directed • Fast learner Nice to Haves • Passion for developing applications in any of the following domains: computer vision, video games, computer graphics, AR or VR • Nonetheless, a proven passion for excellence trumps any specific experience. If you are excited by this possibility and see yourself as a strong fit for the role, please reach out and visit us at http://www.wrnch.com/careers N.B. At this time, wrnch can only hire candidates with valid Canadian work permits.

Posted on: 2017-10-20 03:33:55 UTC

[Intern 2018] SLAM and Deep Learning

Samsung Research America|Dallas, TX

Samsung MPI Lab’s Mobile Computer Vision and Deep Learning team is looking for spring or summer 2018 interns with experience in visual SLAM and Deep Learning to join our interdisciplinary team of software and hardware engineers. You will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms ability to understand visual environments and interact with users. By creatively applying computer vision and machine (deep) learning technologies, you will contribute to taking the user experiences on Samsung Mobile products to the next level. The projects at MPI Lab have direct impact on future Samsung products reaching millions of users worldwide. <<Responsibilities>>: -Prototype multiple view geometry and deep learning algorithms for mobile platforms. <<Qualifications>>: Hands-on experience in one or more of the following areas: SLAM, Deep Learning, Augmented Reality, Computer Graphics. <<Interested candidates>> please email your resume with subject line "[Intern 2018] + [Your Name] + [Your School]".

Posted on: 2017-10-20 03:31:07 UTC

Autonomy Engineer - Perception

Clearpath (OTTO Motors a division of Clearpath)|Kitchener, Ontario Canada

About Us Clearpath provides self-driving vehicle technology and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s industrial and research divisions: Clearpath Robotics and OTTO Motors. We employ a diverse and highly talented team who live and breathe robotics. We believe that work must have a high “cool” factor and every day should bring new knowledge. We need more passionate people on our team who are willing and able to push the boundaries of robotics into focused and practical applications. Clearpath is automating the world and we need your help. Got what it takes? About the Job Our industrial solutions team is in high demand finding new ways to automate away our clients' problems, and we have more point clouds to process and states to estimate than ever. We need more people on our team to bring the state of the art to practical applications. Clearpath, our partner companies, and our clients are making tremendous advances in robotics, and we want you to be a part of it! You will stay on top of recent developments in SLAM, perception algorithms, and sensing technology. You should be familiar with common open-source middleware and libraries like ROS, OpenCV, Gazebo, and PCL, because Clearpath's development team relies on these on a daily basis. You may be responsible for contributing back to these libraries. You'll work to evaluate and implement the state of the art in perception algorithms in a wide variety of practical applications for clients who we're not permitted to name in this very public job description. Additionally, you'll spend time improving our research products by building new demos and attending conferences. You'll likely spend warm summer days driving robots around outside (cold winters too; this is Canada after all). Your primary responsibilities will be: Custom SLAM and perception technology development and testing Evaluation of new algorithms and sensing technology Assisting with concept development for new products and projects Additional tasks may include: Demo development and testing Mentoring and assisting with supervision of interns Open-source contributions to the ROS/PCL/Gazebo community Attending tradeshows and conferences About You You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. Oh, and you have some form of higher education with the common sense to back it up. Required Skills: Graduate degree in engineering/CS or a related field, with applicable background Practical and theoretical knowledge of state estimation, perception, and SLAM techniques Strong software development skills (C, C++, Python preferred) Proficiency with Linux Excellent teamwork/communication skills Ability to independently develop software development plans, including timelines and test procedures Comfortable with abrupt changes to project deadlines, job responsibilities and the local gravity field Bonus points for: ROS, Gazebo, and PCL experience Hands-on experience with autonomous systems Ability to diagnose broken robots by their sounds and smells Experience with git/other DVCS systems Gazebo experience MATLAB Understanding of sensor error modeling, particularly laser rangefinders and vision systems Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

Posted on: 2017-10-20 03:29:42 UTC

Lead Machine Learning / Computer Vision Engineer

dukaconnect.com|San Francisco, CA

We are looking for a driven machine learning and computer vision engineer to join our core technology team. You should have a strong background in applied mathematics, optimization, machine learning, and software development. We are working on research problems on a product development timeline, so you should be enough of a scientist to be able to understand and implement your average ICCV paper, and enough of a hacker to be able to immerse yourself in challenging tasks without much guidance or background and write production-ready code. Ideal candidates for this position have a PhD or MS in a field related to artificial intelligence as well as publications at conferences such as ICCV, CVPR, WACV, NIPS, etc. or similar industry experience. Required experience: Linear Algebra Machine Learning and modern tools for training (preferably Python stack, comfortable with TensorFlow) Programming experience on a large-scale projects in C/C++ or similar Knowledgable of scripting languages including Python Computer Vision and standard libraries (OpenCV) Comfortable in a Unix environment with common developer tools Desired: Knowledge of Android development environment GPU Programming experience An understanding of processing large datasets Previous work in object detection, object tracking, or segmentation Image processing background Both “old-school” computer vision and “new-school” deep learning experience

Posted on: 2017-10-20 03:28:13 UTC

PhD positions at Singapore University of Technology and Design

Singapore University of Technology and Design|Singapore

We are seeking for PhD students to work on research projects related to computational models of the human vision system, deep learning and their applications to computer vision and artificial intelligence. The PhD position is fully funded by A*STAR SINGA fellowship. The expected duration of the PhD program is 4 years. Requirements: (i) strong knowledge in machine learning (deep learning) (ii) excellent programming skills, (iii) strong interest on human vision, (iv) knowledge of high performance distributed computing. Application Instructions: Contact Dr. Gemma Roig, gemmar at mit dot edu. Include CV, one selected publication, grades and email address of at least one reference.

Posted on: 2017-10-20 03:25:54 UTC

Tenure-track Assistant/Associate Professor

Virginia Tech|Blacksburg, VA

The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks applications for a tenured/tenure-track position in Computer Engineering, at the rank of Assistant or Associate Professor, specifically in the area of perception for autonomous systems, including (but not limited to) deep learning, knowledge representation & reasoning, reinforcement learning, reasoning under uncertainty, and their applications to perception in robotics and autonomy. This position is based in Blacksburg, Virginia. The successful candidate will be expected to develop and maintain a vigorous, nationally recognized, funded research program. There are rich opportunities for collaboration with existing strengths across the University. The successful candidate will also be expected to teach undergraduate and graduate courses, and participate in service and outreach activities for the Department, College, and/or University. More broadly, the successful candidate should contribute to Virginia Tech’s growing strength and leadership in Machine Learning research, education, and outreach. The successful candidate will have the opportunity to engage in transdisciplinary research, curriculum, and/or outreach initiatives with other university faculty working in the “Data and Decision Destination Area.”

Posted on: 2017-09-25 03:27:58 UTC

FACULTY POSITION

Indiana University Bloomington|State of Indiana, United States.

The Department of Psychological and Brain Sciences at Indiana University – Bloomington seeks to fill a faculty position at the level of Assistant Professor (tenure-track) to begin August 2018. The position is part of a major Emerging Area of Research initiative by Indiana University to promote the study of learning across disciplinary boundaries bridging the gap between the study of human and machine learning. Individuals with integrated research programs on human learning that also include computational neuroscience, human neuroscience, cognitive or perceptual development and cognitive modeling, machine learning, or computer vision are especially encouraged to apply. The Indiana University initiative on learning will continue over the next few years by promoting additional faculty lines with synergistic research programs to address the important topic of learning in humans and machines. The College of Arts and Sciences is committed to building and supporting a diverse, inclusive, and equitable community of students and scholars. Applicants should have an advanced degree (a PhD in Psychology, Cognitive Science, Neuroscience, Computer Science or related field is preferred). Interested candidates should review the application requirements and submit their application, CV, research statement, teaching statement and three letters of recommendation at: https://indiana.peopleadmin.com/postings/4367. Questions regarding the position or application process can be directed to: Dr. William Hetrick, Ph.D., Professor & Chair, Department of Psychological and Brain Sciences, whetrick@indiana.edu with “Emerging Areas Search” in the subject line or 1101 E. 10th Street Bloomington, IN 47405. Review of all applications will begin on December 1, 2017 and will continue until the position is filled. Information about the department and the university is available at http://psych.indiana.edu Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, national origin, disability status or protected veteran status.

Posted on: 2017-08-24 02:28:49 UTC

Research Associate Video Analysis

TU Dresden, Faculty of Computer Science|Germany

At the Institute of Software and Multimedia Technology the Chair of Computer Graphics and Visualisation invites applications for a Research Associate (Subject to personal qualification employees are remunerated according to salary group E 13 TV-L) The position is to be filled as soon as possible and will be offered till 31st of May 2020. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD). Tasks: Research focuses on Computer Vision and Computer Graphics within the interdisciplinary research project “SePIA”. The main task of the project is the development of a catalog of critical traffic situations that can serve as the foundation of approval procedures for autonomous vehicles. For this video data of natural driving situations are analyzed with respect to critical situations. The task of our Chair is the semantic analysis of video data and the 3D-reconstruction of critical traffic situations. Within your work you will design and implement a system for video analysis that allows analysis of different data sets with the best state of the art methods and supports the export of results in formats suitable for the project partners. Requirements: Excellent university degree (Master or equivalent) in the field of Computer Science, Photogrammetry, Measurement Technology or similar fields; ability to work independently and target-oriented in a team, high commitment, fluent in English language to write excellent papers and to participate in international conferences, interest in practice-oriented and interdisciplinary cooperation with partners, knowledge in semantic video analysis, 3D reconstruction as well as in the implementation with C++ and of GPUs is advantageous. We offer: a diversified and challenging research position to work on a hot topic of computer vision research inside an interdisciplinary team of young researchers, participation in conferences for research exchange, excellent contacts to partners from research and industry, and an independent organization of your research work. Applications from women are particularly welcome. The same applies to people with disabilities. Applications including CV, a short summary of Master thesis and a statement of research interest should be sent until 04.09.2017 (stamped arrival date of the university central mail service applies) as single pdf-document via e-mail to stefan.gumhold@tu-dresden.de or to TU Dresden, Fakultät Informatik, Institut für Software- und Multimediatechnik, Professur für Computergraphik und Visualisierung, Herrn Prof. Dr. Stefan Gumhold, 01062 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

Posted on: 2017-08-18 07:17:22 UTC

Computer Vision PhD for Medical Applications

Reliant Immune|Diagnostics | Boulder, CO, Austin, TX, or remote

Reliant Immune Diagnostics is developing innovative medical applications that will disrupt the healthcare industry. In this research and development position, you will be part of a fast-moving start-up environment that focuses on machine learning and computer vision applications for medical devices. You will be a central part of a team, supported by biomedical lab techs and software engineers, to explore and implement efficient and accurate solutions to problems including object detection, identification, image restoration, illumination correction, and color matching. We are seeking candidates with a Ph.D. in computer vision, image processing, or a related field. Candidates must have experience with data analysis and machine learning algorithms. Proficiency in C/C++ or Python is required. Candidates must have a solid publication record including papers (as first author) in the main conferences/journals of computer vision/machine learning such as CVPR, ICCV, ECCV, PAMI, ICML or IJCV. Reliant offers competitive salary and equity, and your choice of location. You can read more about the company at www.reliantid.com. Please send your resume and cover letter to careers@reliantid.com Contact email: careers@reliantid.com

Posted on: 2017-08-18 07:15:55 UTC

Postdoctoral Associate in Cardiovascular Imaging and Data Sciences

Cardiovascular Imaging Research and Data Sciences Laboratory (CVIR-DSL)|Department of Medicine at Baylor College of Medicine

A postdoctoral position is immediately available in Dr. Gerd Brunner’s laboratory in the Department of Medicine at Baylor College of Medicine. This position is supported by funding from the National Institutes of Health (NIH) investigating the role of microvascular blood flow with magnetic resonance imaging (MRI) in patients with peripheral artery disease (PAD). Dr. Brunner’s laboratory employs multi-modality imaging, image analysis, and machine learning to identify individuals with an increased risk of atherothrombotic cardiovascular events. Highly motivated individuals with a recent Ph.D., first-author publications, and a strong drive for research are encouraged to apply. The successful candidate will work primarily on NIH-funded studies in a collaborative environment with a multi-disciplinary team including clinicians and scientists. A PhD or MD/PhD in biomedical physics, biomedical computer-science/engineering, or related field is preferred. Excellent computer programming skills are needed in MATLAB, Python and/or other languages. Excellent verbal and written communications skills and a willingness to learn about the multi-disciplinary aspects of ongoing research are necessary for this position. To succeed in this position the applicant needs to be goal-oriented, self-sufficient, and able to work independently and in groups in a fast-paced research environment. Familiarity with policies and procedures of human subjects’ research and the operation of MRI scanners is preferred. Experience in machine learning (SVM, random-forests) and/or image segmentation methods is a plus. The appointment will be initially for one year with a possibility of renewal for up to 4 years, based on productivity. The successful candidate is expected to apply for external post-doctoral funding during his/her tenure at BCM. Interested individuals should send their CV including bibliography, research statement with career goals (2-3 pages) and arrange for three letters of reference to be sent to: Gerd Brunner, M.S., Ph.D., Department of Medicine, Baylor College of Medicine, 6501 Fannin Street, Suite NA 306, Houston Texas 77030, U.S.A. Email (preferred): gbrunner@bcm.edu -Qualifications: --Education: Required: PhD --Required Documents: Resume/CV, research statement (with career goals), three letters of recommendation Please submit your application through the webpage of Baylor College of Medicine. Position posting: https://chk.tbe.taleo.net/chk01/ats/careers/requisition.jsp?org=BCM&cws=42&rid=13753

Posted on: 2017-08-17 05:16:11 UTC

Postdoctoral Fellowship in Computer Vision

York University Centre for Vision Research|Toronto, Canada

A postdoctoral position is available in the Human and Computer Vision Laboratory of James Elder at York University, Toronto, Canada. The candidate should have a research background in computer vision or image processing. The position will involve collaborative research on both fundamental and applied projects, with emphasis on applications to dynamic urban scene understanding. Specific topics of current interest include: - Contour processing - Perceptual organization / Segmentation - Shape representation - Natural scene statistics - Attentive vision systems - Camera calibration / rectification - Single-view 3D reconstruction - Face detection / recognition - Person re-identification - Crowd analytics - Traffic analytics The salary for this position is competitive and the starting date is flexible. The position is for one year, with the expectation of renewal. The application deadline is Sept 15, 2017. International applications are encouraged. The Elder Laboratory is part of the York Centre for Vision Research (CVR), the York Vision: Science to Applications (VISTA) Program and the NSERC CREATE Training Program in Data Analytics & Visualization (NSERC CREATE DAV). More information about the Elder Laboratory is available at: elderlab.yorku.ca Please direct your application to Ms. Kai Lin at kailin@yorku.ca, with subject line Application: Computer Vision Postdoctoral Fellowship. Your application should include your c.v. and the names of 3 referees.

Posted on: 2017-08-17 05:12:02 UTC

Computer Vision and Deep Learning Research Intern

Adobe Research|San Jose, CA, USA

We are looking for a research intern (Fall 2017 or Winter 2018) to explore a project in video understanding with computer vision and deep learning technologies. As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe’s product line, and consequently reaching millions of computer users worldwide. The ideal candidates should be in a MS/PhD program in a university and have a solid research background in computer vision and machine learning/deep learning, and hands-on experience on building complex machine vision systems and training convolutional neural networks. Adobe Research internships provide valuable work experience to enhance your academic pursuits. As an intern, you will be involved in exciting team projects with some of the most talented people at Adobe. You will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe's product line, and consequently impacting millions of computer users worldwide. You will learn from the best while working in a fun and creative environment. For more about Adobe's internship program, visit http://www.adobe.com/careers/university.html. Contact: Chen Fang (cfang@adobe.com)

Posted on: 2017-08-11 09:10:53 UTC

Computer Vision and Deep Learning Research Engineer/Postdoc/Intern

SAIC Innovation Center USA|San Jose, CA, USA

SAIC Motor is a Fortune Global 50 company and the largest car manufacturer in China. Located in the Silicon Valley, SAIC Innovation Center is SAIC Motor’s fully owned subsidiary that engages in research and development for cutting edge technologies on Autonomous Driving and Human Computer Interfaces for the next generation vehicles. Currently, SAIC Innovation Center has multiple full-time, postdoc and intern openings in the areas of computer vision, deep learning, and deep reinforcement learning. Key Responsibility: Develop computer vision and/or deep learning algorithms in one of the following areas: object detection and tracking, scene understanding and segmentation, visual odometry, SLAM, and sensor fusion (camera, Lidar, radar, GPS, IMU). Qualification: PhD in Computer Science or relevant field and MS with significant working experience. Contact: Please send your CV to Dr. Jerry Yu at jyu AT saicusa DOT com or apply online at saicusa.workable.com

Posted on: 2017-08-11 09:09:58 UTC

Research Engineer: Computer Vision/Multimodal Systems

Honda Research Institute USA|Mountain View, CA

The position focuses on vehicle sensor calibration and applying machine learning and computer vision algorithms to recorded data obtained from our experimental platforms. Key Responsibilities: Applying computer vision/multimodal data analysis methods to data collected on street scenes using our advanced test vehicles. Developing processes, procedures, and algorithms for calibration of multiple sensors including camera, LiDAR, GPS, IMU, CAN-bus, and radar. Qualifications: M.S. or PhD in computer science, electrical engineering, or related field. Research experience in computer vision, and driver behavioral data analytics. Hands on experience in multi-sensor calibration and setup. Highly proficient in software engineering using C++ and Python. Experience in Robot Operating System (ROS) preferred. Experience in hardware and software synchronization of asynchronous data streams preferred. Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents.

Posted on: 2017-08-08 23:54:22 UTC

Scientist: Video/Multimodal Data Analytics

Honda Research Institute USA|Mountain View, CA

This position offers the opportunity to conduct innovative research on a broad set of problems related to multi-modal temporal segmentation. Key Responsibilities: Propose, create, and implement supervised and unsupervised data segmentation/clustering algorithms from multimodal and multisensory data streams obtained from traffic scenes. Develop and evaluate metrics to verify reliability of the proposed algorithms. Participate in ideation, creation, and evaluation of related technologies in various domains other than traffic scenes, including temporal segmentation of human activities. Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value. Participate in data collection, sensor calibration, and data processing. Participate in software development and implementation on various experimental platforms. Qualifications: PhD in computer science, electrical engineering, or related field. Research experience in computer vision, machine learning, and multi-modal signal processing. Strong familiarity with machine learning techniques pertaining to sequential data processing. Preferred hands on experience in handling multi-modal sensor data. Preferred experience in open-source Deep Learning frameworks such as TensorFlow or Caffe. Highly proficient in software engineering using C++ and Python. Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents. Strong publication record in one or more of the following areas: computer vision, machine learning, or computer vision.

Posted on: 2017-08-08 08:42:34 UTC

Scientist: 3D Computer Vision

Honda Research Institute USA|Mountain View, CA

This position offers the opportunity to work on a broad and exciting set of problems related to processing of 3D point cloud data, including recognition, registration, segmentation, tracking, representation, and transmission. Key Responsibilities: Propose, create, and implement state-of-art point cloud segmentation and classification algorithms. Develop algorithms for spatial and temporal registration of 3D point cloud data, recorded from multiple LiDAR sensors. Develop and evaluate metrics to verify the reliability of the proposed algorithms. Participate in ideation, creation, and evaluation of various related technologies, including 3D SLAM. Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value. Participate in software development and implementation on various experimental platforms. Qualifications: PhD in computer science, electrical engineering, or related field. Strong familiarity and research experience in 3D computer vision and machine learning. Hands-on experience in one or more of the following: LIDAR data processing, Simultaneous Localization and Mapping (SLAM), Perception, Machine Learning, Sensor Fusion. Preferred hands on experience in handling multi-modal sensor data. Highly proficient in software engineering using C++ and Python. Preferred experience with Point Cloud Library (PCL), Robot Operating System (ROS), and GPU programming. Preferred experience in open-source Deep Learning frameworks such as TensorFlow or Caffe. Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents. Strong publication record one or more of the following areas: 3D computer vision, machine learning, or SLAM.

Posted on: 2017-08-08 08:41:58 UTC

Postdoc or Research Scientist

New York University, Abu Dhabi Campus,|Abu Dhabi, UAE

NYU Multimedia and Visual Computing (MMVC) Lab is seeking outstanding and enthusiastic researchers, with background in machine learning and computer vision, to work on developing state-of-the-art techniques on computer vision, graphics and image processing technologies for a broad range of practical applications. The ideal candidates are expected to be active in conducting cutting edge research, and also enthusiastic about turning research into high-end publications on top-tier conferences and highly recognized journals like Siggraph, Eurographics, SMI, SPM, SGP, CVPR, ICCV, ECCV, NIPS, MICCAI, TPAMI, IJCV, TIP, TMM and so on. We also encourage candidates to innovate the original ideas to establish leadership in the research community and pursue research collaborative relationships with top universities world widely. The postdoc training will prepare yourself ready to conduct independent research in your future careers. Extremely competitive salary and benefits will be provided. Link and Contact Email: https://wp.nyu.edu/mmvc/jobs/ and Prof. Yi Fang (yfang@nyu.edu)

Posted on: 2017-08-05 11:52:01 UTC

Image Recognition Algorithm Research Engineer-Nuctech Beijing/Boston

Nuctech|Beijing/Boston

Nuctech Company Limited (Nuctech), derived from Tsinghua University and founded in 1997, is an advanced security & inspection solution and service supplier in the world. Relying on independent innovation and following the customers’ demands, Nuctech provides the most advanced technology, superb products and integrated solutions in the security inspection industry to our customers from more than 140 countries and areas in the globe. Covering Civil Aviation, Customs, Railway, Highway, Urban Railway, Logistics, Judiciary, Big Events and other security areas, Nuctech helps our customers in keeping the homeland security and people safe, which earns us great reputation. Currently, Nuctech has become an internationally famous brand in the security & inspection industry.We are currently hiring Image Recognition Algorithm Research Engineer.Job responsibilities and requirements are listed below: 1. study pattern recognition, machine learning, depth learning and other techniques deeply, and publish high-level academic papers 2. apply the above technique to the intelligent recognition algorithm of radiation image analysis, so as to obtain the good results and the recognition accuracy 3. write the above research results into C++ or Python program, and conduct the test based on a large number of data, so as to achieve stable results and accuracy 4. write application interfaces for algorithmic programs, so as to facilitate to integrate into application system, and conduct combined adjusting and test with application developers 5. may also focus on the recognition and application of visible images, videos and so on. Job requirements: 1. Master's degree or above, innovative spirit and strong interest in algorithm research; 2. proficient in pattern recognition, machine learning aspect, and have extensive knowledge of related disciplines; 3. proficient in programming languages such as C/C++ and python/matlab; 4. proficient in linux and with deep learning research and development experience are preferred; 5. have good command of English, be able to read academic papers quickly and implement its algorithms, and write academic papers in English; 6．be able to closely follow the academic progress in the international high level forums (arxiv), magazines and conferences, quickly implement, discuss and improve their algorithms, and apply them to practical work; 7. have great creativity, research development innovation, or algorithm scheme to solve complex practical problems. Interest Candidates please send your CV to qshi1106@gmail.com.

Posted on: 2017-08-05 03:00:00 UTC

Open Positions: 1 Ph.D. student and 2 Postdocs in the area of Computer Vision and Deep Learning

INRIA |Sophia Antipolis, France

Positions are offered within the frameworks of the prestigious grants - ANR JCJC Grant *ENVISION*: "Computer Vision for Automated Holistic Analysis for Humans" and the - INRIA - CAS grant *FER4HM* "Facial expression recognition with application in health monitoring" and are ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe. Full announcements: - Open Ph.D.-Position in Computer Vision / Deep Learning (M/F) *ENVISION*: http://antitza.com/ANR_phd.pdf - Open Post Doc - Position in Computer Vision / Deep Learning (M/F) *FER4HM*: http://antitza.com/INRIA_CAS_postdoc.pdf - Open Post Doc - Position in Computer Vision / Deep Learning (M/F) (advanced level) *ENVISION*: http://antitza.com/ANR_postdoc.pdf To apply, please email a full application to Antitza Dantcheva (antitza.dantcheva@inria.fr), indicating the position in the e-mail subject line.

Posted on: 2017-08-03 15:11:33 UTC

PhD student position in Deep Learning, Computer Vision, and Augmented Reality

University of Bordeaux|France

The position is fully funded through the project with Siemens Corporate Technology Munich (Dr. Slobodan Ilic) for 3 years and is available immediately. Students with completed M.Sc. with strong programming and mathematical background are invited to apply. The student will develop 3D model-based object detection and tracking methods able to run on mobile devices including mobile AR platforms such as the HoloLens. The main challenge is that the objects of interest are provided in forms of CAD models, mostly without texture information, and only RGB images are available for detection. Prior access to real data for training is also limited. Methods based on Deep Learning will be investigated, but the thesis will not be only limited to them. Strong mathematical background and knowledge of programming languages C++/Python and software tools (e.g., Matlab) is required. Above all, the applicants must be self-motivated to learn quickly and work effectively on challenging research problems. For a description of recent research activities carried out by Prof. Lepetit, please visit http://www.labri.fr/perso/vlepetit/ and https://www.tugraz.at/institute/icg/research/team-lepetit/. Application process: Please send your CV in attachment vincent.lepetit@u-bordeaux.fr,slobodan.ilic@siemens.com. Please describe briefly your background and research interests in the e-mail.

Posted on: 2017-08-02 11:13:59 UTC

Computer Vision and Machine Learning Researchers/Engineers/Interns - Alibaba AI Labs

Alibaba AI Labs|Hangzhou/Beijing

Alibaba is one of the biggest internet companies in the world. Alibaba AI Labs are devoted to developing the next generation artificial intelligence technologies including computer vision, machine learning, natural language processing, and speech recognition. We have various application scenarios such as human-machine interaction and robots. We have released a produced called Tmall Genie, which is the best Chinese voice assistant. For computer vision, we are solving problems both in geometric computer vision (including topics such as SLAM) and in semantic computer vision (including topics such as object detection and recognition, scene parsing). We are looking for top researchers/engineers/inters to join us. We provide competitive salary and working environment. Interested candidates may contact Dr. Wang Gang directly, whose email address is wg134231@alibaba-inc.com . Thanks.

Posted on: 2017-07-31 06:42:25 UTC

Software engineer intern

Second Spectrum Sàrl|Morges, in Switzerland

The primary goal of internships at Second Spectrum is professional growth and development. Students are provided with the opportunity to work on real projects that professional sports teams, broadcasters, and consumers use. We try to match your personal and professional interests and skills with our projects and teams. Our R&D office is based in Switzerland and specialised in Machine Learning and Computer Vision. Link: https://jobs.lever.co/secondspectrum/3df0767a-ab2e-44fa-bf1c-0deb942e3429 Contact: swissoffice@secondspectrum / Nadia Massarelli

Posted on: 2017-07-29 10:00:53 UTC

3D Reconstruction Engineer

REscan|Menlo Park, CA

Looking for an experienced computer scientist with experience in the construction of 3d maps from sensor data. In particular, experience with pose estimation, point cloud construction, and polygon extraction are desired. The ideal candidate will have experience with 3D map building projects, LIDAR data, SLAM, VSLAM, and computer vision generally. Applicants are expected to have experience in a production environment, and be familiar with industry standard development tools and techniques, such as Git, JIRA, and Agile project management. Specific skills: Visual Pose Estimation Experience with large data sets Highly competent C++ programmer Familiarity with Linux Familiarity with Git Experience with: Working in cloud deployed environments Large automated tool flows Scripting language suitable for tool automation (e.g. Python) JIRA, and Agile project management Additional desirable skills: Machine learning DNNs You would be joining an exciting seed phase start-up company doing large scale 3D architectural scanning and scene understanding with cutting edge applications in remote viewing, VR, and AR. The company is well funded, but you would be joining very early in the engineering team. As such, you will play a significant role in the building of the engineering culture of the company.

Posted on: 2017-07-29 10:00:09 UTC

ML Engineer, ML Pla3orm Engineer

HEARST Machine Learning Group|New York City

Hearst is a large media company. Our group builds products using deep learning frameworks applied to our vast content database (images, ar*cles and videos), and our click, ad & audience data. Contact: Rahel Jhirad,VP ML Engineering, rjhirad@hearst.com Alyson Lindquist, SR Technical Recruiter , alindquist@hearst.com

Posted on: 2017-07-26 01:32:52 UTC

Sr. Research Scientist -- Computer Vision & Machine Learning

Hikvision Research America| Santa Clara

Hikvision is a world leader in Video Technology with 40 Billions market cap. Its Research Institute accumulates over a decade R&D experience in Video Camera, Image Processing, Video Transmission and Display, Data Storage, Artificial Intelligence, Machine Vision and Big Data, making Hikvision at leading position in many technical fields. In 2016, Hikvision was ranked as the #91 most Innovative company in the world by Forbes Magazine. Hikvision Research America (HRA) is located in the heart of Silicon Valley near Santa Clara Convention Center. HRA has Artificial Intelligence, Big Data and Technology Partnership teams at this site. We are actively hiring talented, energetic, self-motivated professionals who aim to build best products. This R&D role will develop algorithms for solving complicated applications and exploring the theoretical aspect on neural network optimization, and various methods to take full advantage of large volume real-world data.Requirements PhD. in Computer Vision or Machine Learning with 5+ years of related work experience in reputable companies or research institutes. Recognized expert in research areas such as: Computer Vision, Artificial Intelligence, Machine Learning - particularly in Deep Learning (weakly-supervised/semi-supervised/unsupervised learning) Have published top class papers in Computer Vision or Machine Learning Journals or Conferences. Candidates should work independently and with team spirit . Travel Up to 10% international travel to China is required. Hikvision cares employees and offers competitive compensation package. If you are interested, please send cover letter and resume to: hikvision-svhr@hikvision.com

Posted on: 2017-07-25 12:46:28 UTC

Research Scientist -- Computer Vision & Machine Learning

Hikvision Research America|Santa Clara CA

Hikvision is a world leader in Video Technology with 40 Billions market cap. Its Research Institute accumulates over a decade R&D experience in Video Camera, Image Processing, Video Transmission and Display, Data Storage, Artificial Intelligence, Machine Vision and Big Data, making Hikvision at leading position in many technical fields. In 2016, Hikvision was ranked as the #91 most Innovative company in the world by Forbes Magazine. Hikvision Research America (HRA) is located in the heart of Silicon Valley near Santa Clara Convention Center. HRA has Artificial Intelligence, Big Data and Technology Partnership teams at this site. We are actively hiring talented, energetic, self-motivated professionals who aim to build best products. This R&D role will develop algorithms for solving complicated applications and exploring the theoretical aspect on neural network optimization, and various methods to take full advantage of large volume real-world data. Responsibilities Implement innovative industry applications. Develop efficient algorithms or demos to advance the areas such as video-based behavior recognition and analysis or optimization for deep neural networks. Publish original research and give speeches at conferences or events. Work directly with engineers in headquarter to embed algorithms into commercial software products. Requirements Ph.D. in Computer Vision or Machine Learning, or M.S. with over 3 years related work experience. Expert in research areas such as computer vision, artificial intelligence, machine learning, particularly including areas such as deep learning, Experience with Deep Learning Frameworks such as Caffe, Torch, Theano, etc. Familiar with Matlab or other quick prototyping tools. Travel Up to 10% international travel to China is required. Hikvision cares employees and offers competitive compensation package. If you are interested, please send cover letter and resume to: hikvision-svhr@hikvision.com

Posted on: 2017-07-25 12:45:38 UTC

Research Internship -- Computer Vision & Machine Learning

Hikvision Research America|Santa Clara CA

Hikvision is a world leader in Video Technology with 40 Billions market cap. Its Research Institute accumulates over a decade R&D experience in Video Camera, Image Processing, Video Transmission and Display, Data Storage, Artificial Intelligence, Machine Vision and Big Data, making Hikvision at leading position in many technical fields. In 2016, Hikvision was ranked as the #91 most Innovative company in the world by Forbes Magazine. Hikvision Research America (HRA) is located in the heart of Silicon Valley near Santa Clara Convention Center. HRA has Artificial Intelligence, Big Data and Technology Partnership teams at this site. We are actively hiring talented, energetic, self-motivated professionals who aim to build best products. This R&D role will develop algorithms for solving complicated applications and exploring the theoretical aspect on neural network optimization, and various methods to take full advantage of large volume real-world data. Responsibilities Implement innovative industry applications. Develop efficient algorithms or demos to advance the areas such as video-based behavior recognition and analysis or optimization for deep neural networks. Publish original research result and give speeches at conferences or events. Requirements Ph.D. students in Computer Vision or Machine Learning. Expert in research areas such as computer vision, artificial intelligence, machine learning, particularly including areas such as deep learning, Experience with Deep Learning Frameworks such as Caffe, Torch, Theano, etc. Familiar with Matlab or other quick prototyping tools. Excellent C/C++ coding skills, familiar with script languages such as Python, etc. Good organization, communication and interpersonal skills.

Posted on: 2017-07-25 12:44:40 UTC

PhD in Computer Vision and Machine Learning for Intelligent Vehicles

Intelligent Vehicles group, Delft University of Technology| The Netherlands

We are seeking PhD's with an interest in performing cutting edge research in an active and exciting research area (cf. self-driving cars by Google, Apple and the automotive industry). Prospective applicants should have a strong academic record with solid background in computer science or software development, and experience in CV and ML. Good programming skills are expected, preferably in C++ and MATLAB/Python. Knowledge of deep-learning frameworks (TensorFlow/Torch/Caffe) and OpenCV/ROS/CUDA is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. All applicant(s) are expected to be able to act independently as well as to collaborate effectively with members of a larger team. Good English skills are required. For more information about this position, please contact J.F.P. (Julian) Kooij, e-mail: J.F.P.Kooij@tudelft.nl. To apply, please prepare a letter of motivation explaining why you are the right candidate, a detailed CV, a complete record of Bachelor and Master courses (including grades), your Master’s Thesis, a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), your publications, and the names and contact addresses of two references. All these items should be combined in one PDF document

Posted on: 2017-07-25 12:42:47 UTC

PhD in Computer Vision and Machine Learning for Intelligent Vehicles

Intelligent Vehicles group, Delft University of Technology|The Netherlands

Posted on: 2017-07-25 12:39:46 UTC

Machine Learning Developer

Motion Metrics International Corp|Vancouver, BC

Motion Metrics International is hiring engineers to scale up its AI infrastructure. Successful candidates will need to have strong programming skills, a deep understanding of machine learning (algorithms & frameworks), modular design, distributed datasets and computing; as well as excellent communication and planning skills. You and other engineers in this team will help advance Motion Metrics 's capacity to build and deploy leading solutions for a broad range of AI-based applications in mining. Responsibilities: Analyze and prototype proprietary machine learning algorithms while meeting defined system requirements and constraints. Define validation and performance metrics for proposed algorithms. Work with team members to prototype, design, implement, and document product features. Build tools that will increase the productivity of teams developing AI-based systems (training of deep learning / reinforcement learning systems. Requirements: Bachelor’s Degree or higher in Computer Science or related technology/engineering field. 1+ years of hands-on experience developing and implementing machine learning algorithms. Proficiency in modern programming languages such as C++, Python and Java. Computer Science fundamentals in object oriented design, data structures, algorithm design, problem solving, and complexity analysis. Experience with deep learning frameworks: Caffe, TensorFlow, Theano, Torch. Familiarity with image processing techniques. Familiarity with statistical analysis. Ability to rapidly learn new APIs. Interested candidates please apply at careers@motionmetrics.com, with subject line: Machine Learning Developer. Our representatives will be on site at CVPR to meet with you in person for more details.

Posted on: 2017-07-25 00:21:31 UTC

【VoxelCloud Hot Job】Machine Learning Scientist/ Software Engineer

Voxel Cloud Inc. |LA/Shanghai

Voxel Cloud Inc. was founded by a group of professors from University of California in Los Angeles (UCLA) and Arizona State University (ASU) in 2015. We have received over $20 million venture capital funding from world’s top investors such as Sequoia, Tencent and New Margin. In VoxelCloud, we develop computer-aided detection systems for detecting and diagnosing various diseases ranging from cardiovascular and lung diseases to eye diseases. Our solutions are based on the state-of-the-art computer vision, deep learning and artificial intelligence technology. Our rapidly growing team consists of research scientists and software engineers from the most prestigious universities and companies such as UCLA, Cedars-Sinai Medical Center, Mayo Clinic, CMU, GE, PHILIPS, SIEMENS, SAP, CareStream, JD.COM, Elsevier, and Medtronic. We are currently recruiting talents and we offer very competitive salary for both full-time and internship positions: 1. Machine Learning Scientist The responsibilities include developing image classification models and image parsing algorithms (object detection and object segmentation), and publishing results in the top conferences and journals of the medical imaging and computer vision field. The candidates should be proficient with at least one deep learning library (Caffe/Torch/TensorFlow). Prior experience with medical image analysis is a plus. 2. Software Engineer Candidates must have a degree in computer science, biomedical informatics, or another relevant field, exceptional skills in Python and C/C++ and familiarity with high-quality software practices (fast-prototyping, test-driven development, design patterns, etc.). Good understanding of algorithms in image analysis, computer vision, computer graphics, and machine learning is preferred. Experience in distributed computing/ parallel computing is a plus. The Software Engineer will work closely with machine learning scientists and clinicians to develop next-generation, high-performance imaging products. To apply, please send your resume to Nima Tajbakhsh at ntajbakhsh@voxelcloud.io

Posted on: 2017-07-24 00:19:34 UTC

Post-doc Position Available

robust systems lab at northeastern university|Boston, Massachusetts

The Robust Systems Lab is hiring a post-doc with expertise in computer vision, machine learning and dynamic systems to work on activity recognition and human re-identification. The candidate must have a PhD and a research record in computer vision, with publications in the main conferences/journals (CVPR, ICCV, ECCV, PAMI, IJCV, etc). Familiarity with deep learning is a plus. To apply, please follow the link https://neu.peopleadmin.

Posted on: 2017-07-24 00:16:52 UTC

Senior Staff Engineer, Scientist (Computer Vision)

VideoSlick Inc.|San Jose, CA

VideoSlick uses patented proprietary AI and computer vision techniques to develop an advanced next-generation video editing technology, enabling any person to create amazing professional-looking videos instantly. Lots of opportunities will present themselves to contribute to Company success. Team members are Stanford alumni and ex-Googlers(over 12 years experience at YouTube and Google) and have deep expertise in Computer Vision and video. Responsibility: Design and implement highly efficient computer vision algorithms and applications. Requirements: * Ph.D/MS Degree in computer science, or EE * Experience with computer vision and numerical optimization problems * Solid C/C++ and system building experience * Solid skills in OpenCV * Practical experience with deep learning frameworks is preferred * Skills nice to have: Tensor Flow, Python, Matlab * Self motivated and eager to learn new things Preferred qualifications: Ph.D in computer vision, machine learning, video

Posted on: 2017-07-24 00:14:59 UTC

Computer Vision Research Scientist

Blue Vision Labs|London

Blue Vision Labs is a stealth startup working on a new transformative technology for self-driving cars, augmented reality and robotics. Founded in a Y-Combinator Fellowship and backed by Accel (Facebook, Dropbox, etc.) with Horizons Ventures (DeepMind, Siri, etc.), our mission is to revolutionise the future of intelligent machines. Our team consists of a mix of PhDs from top universities, hackers, finalists of programming competitions and accomplished entrepreneurs. We have a full range of benefits, a friendly and dynamic atmosphere where everyone can learn, grow and contribute to impactful solutions. We are looking for exceptional computer vision engineers & researchers to join our team as we solve some of the most important computer vision problems. This is a unique opportunity to combine challenging research work with real-world impact.

Posted on: 2017-07-23 02:40:28 UTC

Computer Vision Engineer for Autonomous Driving

NextDroid|Boston and Pittsburgh

- Do you develop software for 3D Perception and Object Detection? - Do you thrive on extremely difficult engineering problems on tight schedules? - Do you write production-quality code that works when it must? - Do you want to make a real impact in the field of self-driving cars? - Do you want to see your code in a near-future model of a major car brand? This position requires: - Extensive experience in Computer Vision, both traditional and DLNN - Verifiable track record of developing production-quality CV systems - Modern C++ development using OpenCV in real-time applications - Mainstream DLNN toolkits (Caffe, Tensorflow, etc.) NextDroid is an advanced Robotics + R&D firm with offices in Boston and Pittsburgh. Founded in 2015, the veteran team secured strategic partnerships with two Fortune 500 companies. By coupling the capacity of one of the largest global automakers with an agile and experienced startup team, we have delivered market impact results in record time.

Posted on: 2017-07-23 01:50:53 UTC

Research Internship

Baidu & Tsinghua University|Beijing, China

Welcome to apply the China Deep Learning National Engineering Lab internship program. This unique Internship program is co-hosted by Baidu and Tsinghua University. Baidu is the leading internet company in China with hundreds of deep learning, computer vision, and AI researchers. Tsinghua University is the very top university in China with the number one CS and EE program. In this research-oriented internship program, you will: Aim to publish your internship result in CVPR / ICCV / ECCV / NIPS / ICML etc. Access the most powerful computing resource provided by Baidu. Work with the most renowned researchers and faculties in the world. Enjoy the people, the city, the food, and the history of Beijing. We expect you are a self-driven PhD student in top universities with the following background Computer vision or machine learning Sub-area includes 3D, recognition, detection, gesture, SLAM, model compression, embedded vision etc. Good publication record and good programming skills. The internship lasts for 6 months and it can start at any time. Email to apply.

Posted on: 2017-07-23 01:49:48 UTC

Computer Vision Research Scientist

ISEE.AI|Cambridge, Massachusetts, USA

ISEE develops groundbreaking Artificial Intelligence technology for Autonomous Driving. You will work with a group of top scientists, engineers and business professionals in Cambridge, Massachusetts, USA. Please contact us if you are interested in joining us to make AI awesome! Please send your resume to join@isee.ai and a meeting will be scheduled asap. - Ph.D. in Computer Science, Electrical Engineering, or a related field - Machine learning (e.g., deep learning, reinforcement learning), Computer vision, Localization and Mapping expert - Experience with multimodal sensor fusion (e.g., lidar, camera, radar, gps, imu), automatic sensor calibration, SLAM/SfM, lane detection, object detection, object tracking, scene segmentation - Good working knowledge of at least one widely available neural network frameworks, such as Theano, Caffe, Tensor Flow or Torch - Deep understanding of estimation theory and filtering theory

Posted on: 2017-07-23 01:48:36 UTC

Computer Vision Engineer

ISEE.AI |Cambridge, Massachusetts, USA

ISEE develops groundbreaking Artificial Intelligence technology for Autonomous Driving. You will work with a group of top scientists, engineers and business professionals in Cambridge, Massachusetts, USA. Please contact us if you are interested in joining us to make AI awesome! Please send your resume to join@isee.ai and a meeting will be scheduled asap. - MS/PhD degree in Computer Science, Electrical Engineering, or a related field - Radar sensor software development - Lidar sensor & software development - Camera sensor & software development - Sensor firmware and low-level signal processing - Sensor calibration - Perception algorithms (e.g., SLAM/SfM, lane detection, object detection, object tracking, scene segmentation) - Extensive experience in robot perception and vision research & development - Expertise implementing vision & perception algorithms and deploying on real-world systems

Posted on: 2017-07-23 01:48:08 UTC

Post-doc (Research Associate) in Computer Graphics and Vision

University of Cambridge|Cambridge, United Kingdom

A Research Associate position is available from October 2017 to work on capture and display of highly realistic imagery. The project aims to create, capture and display images that would appear highly realistic to the human eye, to the point that they are confused with real-world objects. This will be achieved by combining high dynamic range, binocular stereo and multiple focal depths in a single display setup. The goal is to determine what factors are the most relevant for achieving highly realistic look of the displayed scenes. The outcome of the project will help to define requirements for future display technologies, rendering, representation and storage of visual content. The successful candidate is expected to work with prototypes of novel displays, including VR headsets, novel acquisition methods (camera arrays, light field cameras), reconstruction methods, and the application of perceptual models in reconstruction and display problems.

Posted on: 2017-07-23 01:43:59 UTC

Computer Vision Internship

Blue Vision Labs|London

Blue Vision Labs is a stealth startup working on a new transformative technology for self-driving cars, augmented reality and robotics. Founded in a Y-Combinator Fellowship and backed by Accel (Facebook, Dropbox, etc.) with Horizons Ventures (DeepMind, Siri, etc.), our mission is to revolutionise the future of intelligent machines. Our team consists of a mix of PhDs from top universities, hackers, finalists of programming competitions and accomplished entrepreneurs. We have a full range of benefits, a friendly and dynamic atmosphere where everyone can learn, grow and contribute to impactful solutions. We are looking for exceptional computer vision interns to join our team as we solve some of the most important computer vision problems. This is a unique opportunity to combine challenging research work with real-world impact.

Posted on: 2017-07-22 19:36:09 UTC

Post-docs / Phd students in Deep Learning, Computer Vision and Robotics

Czech Technical University, Inria |Prague, Paris

We are looking for a post-doctoral researchers and Phd students in Deep Learning, Computer Vision and Robotics at the newly created Intelligent Machine Perception team (Josef Sivic, Tomas Pajdla, Francis Bach, Ivan Laptev, Jean Ponce, Vasek Hlavac) spanning Czech Technical University in Prague and Inria in Paris. The positions are in Prague but include the possibility of extended stays at Inria in Paris. We are looking for strongly motivated candidates with Phd (for post-doc) in computer vision, machine learning or robotics and a proven track-record of publications in top conferences and journals. For Phd students MSc degree is necessary. We offer competitive salary and work on cutting edge research with high-impact applications in autonomous driving, smart assistive robotics or augmented reality. The position includes the possibility of participating in teaching and co-advising MSc or Phd students. Follow-up tenure track openings are also available. For more details please see: http://impact.ciirc.cvut.cz

Posted on: 2017-07-22 19:29:53 UTC

Computer Vision Research Internship at Adobe Research -- Visual Search for 360-degree Imagery

Adobe Research|Adobe Research

We are looking for a research intern starting Fall 2017 to explore a project in visual search for 360-degree images and videos. The ideal candidates should have a solid computer vision, and machine learning/deep learning research background. Experiences with visual analysis on omnidirectional images and videos is a plus. Adobe Research internships provide valuable work experience to enhance your academic pursuits. As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe’s product line, and consequently reaching millions of computer users worldwide. You will learn from the best while working in a fun and creative environment. For more about Adobe's internship program, visithttp://www.adobe.com/careers/university.html. Contact: Long Mai, Research Scientist, Adobe Research (malong@adobe.com)

Posted on: 2017-07-22 13:16:48 UTC

Computer Vision Research Scientist/Engineer

DigitalOcean|New York City, Other locations

Please e-mail me to meet at CVPR: ajaimes@digitalocean.com (Alex Jaimes, Head of R&D, DigitalOcean) We are looking for Computer Vision and Machine Learning Research Scientists and Engineers. If you’ve published in top-tier venues (CVPR, ICCV, NIPs, etc), are highly creative, enthusiastic, want to impact our 1+ million developers, and want to help us define the future of Computer Vision on the Cloud, please read on. DigitalOcean is a dynamic, high-growth technology company that serves a robust and passionate community of developers around the world. Our mission is to simplify cloud computing for every developer. We are working on solving some of the most challenging and interesting technology projects around, on a scale unmatched by few companies. DigitalOcean has become the second largest and fastest growing cloud computing platform in the total number of public facing apps and websites, according to Netcraft.com. The company has raised $123 million in funding from Andreessen Horowitz, Access Industries, IA Ventures, CrunchFund, and Techstars. We want people who are passionate about building features that you and your peers will love. As a Research Scientist, you’ll work on improving the state of the art in Computer Vision, and in helping us develop general purpose tools for all aspects of Computer Vision. You’ll be able (and expected) to publish in top-tier venues, talk about your work, and work closely with Engineering, Design, and Product partners to create tools for developers and enthusiasts to embrace Computer Vision. Job location: NYC, and other locations. https://www.digitalocean.com/

Posted on: 2017-07-22 13:13:34 UTC

Senior Android System Engineer

uSens, Inc.|San Jose, CA

uSens provides intuitive & natural interaction capability in AR/VR through its innovative hand tracking and head position tracking technology solutions. We are looking for world-class software engineers for an exciting role to to work on the most advanced mobile vision, computing, and VR, AR technology. Youn will work on the full Android software stack, from underlying hardware, kernel, to UI Frameworks. You will be also working on cutting edge driver level solutions and OS optimizations to improve the performance and quality of user experiences. The ideal candidate is an experienced Android systems engineer with a passion for exploring the new frontiers including computer vision, machine learning, virtual reality, and augmented reality with the following: · 5+ years of C/C++ programming experience · Experience with building and customizing Android OS · Experience with kernel development, Linux OS development · Experience with Android OS architecture, Android system services, System UI, and APIs · Excellent C/C++ programming and debugging skills. Experience with multi-threaded software design, unit tests and testable code. · Experience with GIT, REPO e. You could find more detail information at https://www.usens.com/career. If you are interested, please contact to epark@usens.com

Posted on: 2017-07-22 01:42:27 UTC

Senior 3D Graphic Unity Engineer

uSens, Inc.|San Jose, CA

uSens provides intuitive & natural interaction capability in AR/VR through its innovative hand tracking and head position tracking technology solutions. We are looking for lead Unity3D and 3D Graphics technology developer who could oversee, direct, and develop Unity3D SDK and API. You would do direct and manage Unity application and demo development and also manage optimization of Unity SDK and 3D Graphics compatibility/support to ensure best performance for developers and end users. An ideal candidate has all of the following: · Advanced Unity3d and 3D Graphics engineering experience, with ability to create content as well as code/script using C# · Advanced understanding of Unity3d native as well as 3rd party plugin interfaces · Proficient with Unity3d development for networking and mobile deployment · Technically creative with a demonstrated ability to create photo realistic and interactive 3D graphics · Strong background and interest in the evolution and road map of global 3D Graphics · Experience with C++ and JAVA · Experienced in working with and managing 2nd/3rd parties developing with Unity3D · Able to manage and understand related QA and testing · BA/BS/Technical/Unity Training preferred e. You could find more detail information at https://www.usens.com/career. If you are interested, please contact to epark@usens.com

Posted on: 2017-07-22 01:41:50 UTC

Computer Vision & Machine Learning Scientist / Engineer

uSens, Inc.|San Jose, CA

uSens provides intuitive & natural interaction capability in AR/VR through its innovative hand tracking and head position tracking technology solutions. We are looking for 5 years’ experience in a related Sr. CV and ML research or engineering role, with published research work or meaningful engineering. You need to be experienced with object recognition, tracking and proficient with CNN and deep learning framework, experienced with training, and innovating network architecture. It would be plus if you are experienced with kinematics, robotics, skeleton tracking, physics. You are also able to work well with internal/external developers and customers to help build applications, turning CV, AI, and Machine Learning into fully functional products. An ideal candidate has all of the following: · Experience with depth sensing and visual-inertial navigation, VIO, SLAM · Strong at applied math skills in linear algebra, PDEs, 2D/3D projective mathematics, 3D geometry · Hands-on experience with linear & non-linear optimization and bundle adjustment · Strong software, hardware, and systems development understanding · Problem solve better than a single-working parent, working best under pressure, and always enjoying hard challenges · Project management skills, Strong Communication skills · Proven fluency in C++ (JAVA, C#, Javascript, and Unity all a plus) e. You could find more detail information at https://www.usens.com/career. If you are interested, please contact to epark@usens.com

Posted on: 2017-07-22 01:41:12 UTC

The TRACE labs (Toyota Research on Automated Cars in Europe)

ETH, KU Leuven|Zurich, Belgium

The TRACE labs (Toyota Research on Automated Cars in Europe) at ETH Zurich, Switzerland, and KU Leuven, Belgium, are looking for strong candidates with an interest in automated driving. You hold an engineering master degree in CS, EE, Mechanics, or a master in Physics. You are interested in deep learning, but also in coding and especially GPU optimization. Don't hesitate to send in your application to vangool@vision.ee.ethz.ch or vangool@esat.kuleuven.be. We have positions that allow you to get a PhD degree, postdoc level positions, but also the opportunity to contribute to this exciting field of research as a junior or senior technical expert.

Posted on: 2017-07-22 01:36:59 UTC

Principal / Senior Computer Vision Scientist

Santa Clara, CA|JD.com

JD.com, Inc. one of the world largest e-commerce companies is developing the next generation, fully automated logistics infrastructure. JD’s X Division (JD-X) is responsible for the research and development of automated fulfillment capabilities including autonomous ground delivery vehicles, autonomous delivery drones and warehouse automation technologies. JD-X is seeking experienced and motivated Computer Vision Scientists with a can-do attitude to lead our perception research and development. You will be responsible for creating a technology roadmap, directing research and development efforts, leading the technical team to develop innovative solutions that address the challenges of a fully automated logistics system. More importantly, you will drive the deployment of innovative technologies in JD’s fulfillment operation and make a real impact in JD’s business and the world of e-commerce. If you are interested in this opportunity, please contact us and visit JD’s booth at CVPR.

Posted on: 2017-07-21 17:22:24 UTC

Post-doctoral researcher in computer vision and deep learning

Aalto University|Helsinki, Finland

We are seeking a post-doctoral researcher to collaborate with Assistant Professor Juho Kannala at the Department of Computer Science at Aalto University. We are a research group working broadly in the field of computer vision. We are pursuing research problems both in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and image-based localization) and in semantic computer vision (including topics such as object detection and recognition, and deep learning). An ideal candidate should possess (or be near completion of) a doctoral degree in computer vision or machine learning, together with a solid mathematical background, good programming skills and a strong academic publication record. The starting date is negotiable. The contract is for a 2-year fixed-term period with a possibility for an extension. Please apply through the university website (link below) and contact juho.kannala@aalto.fi. More information about our research is available at https://users.aalto.fi/~kannalj1/ .

Posted on: 2017-07-21 14:18:01 UTC

Machine Learning Research Engineer at Good AI Lab (GoodAILab.com)

GoodAILab.com|Good AI Lab

We are looking for passionate people who have experience with deep learning to build TensorFlow models using TensorPort, our distributed computing platform. With access to powerful computing resources, you will be responsible for creating models that demonstrate the advantages of our platform. You’ll be able to take credit for your work, publishing it under your own name. Responsibilities: - Implement novel applications or transform existing open source models onto our platform - Document projects clearly so other users and potential users of our platform can learn from them - Publish your results on GitHub; write blog posts and/or papers under your name on our behalf - Contribute to our platform’s documentation and tutorials If interested, please send your resume to inquiries@goodailab.com.

Posted on: 2017-07-21 08:29:12 UTC

Post-doc and engineer positions on facial expression analysis at ADSC/UIUC

ADSC |Singapore

The University of Illinois at Urbana-Champaign (UIUC)’s Advanced Digital Sciences Center (ADSC) in Singapore is looking for a post-doctoral researcher as well as software engineers to join our team for a project on the real-time analysis of facial expressions for emotion recognition in human-machine interaction and other scenarios. One of the purposes of this research is making agents or robots more empathic in their interaction with users. Relevant expertise in computer vision and knowledge of C++, Matlab, and/or Python is required. Some background in human-computer interaction (HCI) and psychological studies/crowdsourcing will be a plus. More details about our research can be found at http://publish.illinois.edu/multi-modal-profiling-analytics/ Please contact Dr. Stefan Winkler for more information, or apply online via https://my.engr.illinois.edu/apply/ (under engineers or researchers). ADSC (www.adsc.illinois.edu) is a research center established in 2009 by the University of Illinois at Urbana-Champaign and the Agency for Science, Technology, and Research (A*STAR). ADSC currently employs over 50 full-time research staff, plus many students from around the world.

Posted on: 2017-07-21 08:27:16 UTC

3d Mapping and SLAM Engineer at Zippy

Zippy|Santa Clara, CA

Zippy is seeking an experienced scientist/engineer to work on the localization and mapping stack for autonomous vehicles and robots. These are robotics that will be on the streets, bike lanes and sidewalks interacting with people and automobiles. Localization and mapping is at the heart of Zippy and we are building maps of world scale. An ideal candidate has all of the following: ● MS/PhD from a top engineering school ● 4+ years experience with SLAM related technology ● Experience with monocular, stereo and visual-inertial odometry ● Experience with bundle adjustment, Kalman Filters, BFGS and dense SLAM ● Solid experience programming optimized C/C++ code About the team: We are a rapidly growing team of software, mechanical, and electrical engineers. The three founders have backgrounds in autonomous driving, computer vision, AR, and machine learning. About our technology stack: ● Our backend stack is written in Go and runs on AWS ● Our frontend stack is built in react and makes extensive use of webrtc ● Our on-vehicle stack is built in C++ and deployed with docker ● We have full simulation in Unity ● We use ST and NXP processors for low-level robot control Please contact Chris Broaddus (chris@zippy.ai)

Posted on: 2017-07-21 01:12:15 UTC

Software Engineer - Deep Learning - at Zippy

Zippy|Santa Clara, CA

Zippy is seeking an experienced scientist/engineer to work on Deep Learning for autonomous vehicles and robots. These are robotics that will be on the streets, bike lanes and sidewalks interacting with people and automobiles. Machine learning is at the heart of Zippy, and we want world experts to help build the AI stack with us. An ideal candidate has all of the following: ● MS/PhD from a top engineering school ● 4+ years experience with Deep Learning ● Excellent knowledge of theory and practical implementation of machine learning ● Experience in free space estimation using monocular and/or stereo cameras ● Experience in detection of objects in the world using the latest techniques ● Experience with object tracking and prediction for autonomous systems (LSTM, kinematic motion) About the team: ● We are a rapidly growing team of software, mechanical, and electrical engineers. The three founders have backgrounds in autonomous driving, computer vision, AR, and machine learning. About our technology stack: ● Our backend stack is written in Go and runs on AWS ● Our frontend stack is built in react and makes extensive use of webrtc ● Our on-vehicle stack is built in C++ ● We have full simulation in Unity ● We use ST and NXP processors for low-level robot control Please contact Chris Broaddus (chris@zippy.ai)

Posted on: 2017-07-21 01:11:30 UTC

Machine Learning Intern

Onfido|London

We’re looking for software engineers with expertise in machine learning and computer vision to help us shape and develop our ID verification solutions. We apply cutting-edge ML techniques in our core product to classify documents, identify physical forgeries and extract data. You will work closely with a group of researchers developing highly scalable machine learning/computer vision models, collaborate on projects that help shape the future of Onfido, participate in technical group discussions and research paper reading groups. You will contribute towards a publication in a relevant top conference, a feature that goes into one of our products or tools that improve the way we work. We will provide support throughout the project to help you accomplish these goals. As a Machine Learning Intern, you will be able to work in one of the following areas: * Text detection and recognition * Barcode/QR code detection and decoding * Image quality analysis, noise removal and deblurring * (Deep) Generative models * Face analysis (detection, recognition, reconstruction, etc.) * Eye-tracking * 3D/Depth reconstruction * Physical material properties (BRDF) capture. Onfido builds trust in an online world by helping businesses digitally verify people’s identities. Using machine learning technology, Onfido validates a user’s identity document and compares it with their facial biometrics. The identity can then be cross-referenced against international credit and watchlist databases. Founded by three entrepreneurs from Oxford University, Onfido has received over $30m in funding from investors including Salesforce Ventures and Idinvest Partners. We carry out checks in 195 countries for global customers including JustGiving, BlaBlaCar and Couchsurfing.

Posted on: 2017-07-20 15:36:53 UTC

Senior Software Engineer (Machine Learning)

Onfido|London

We’re looking for software engineers with expertise in machine learning and computer vision to help us shape and develop our ID verification solution. We apply cutting-edge ML techniques in our core product to classify documents, identify physical forgeries and extract data. Our engineering teams work on several interesting challenges: detecting physical forgeries, extracting textual and visual data from identity documents, evaluating photo content and quality, verifying people without documentation or central records, and making complex verification data easy for our customers to use and understand. You’ll help us rapidly prototype, iterate and deliver products driven by machine learning to our customers; help build understanding and use of ML techniques and technology across our engineering team; and keep us on the cutting-edge of ML research and practical application. As a Software Engineer (Machine Learning), you will: * Build and deploy solutions to interesting computer vision & OCR problems, including document classification, data extraction and fraud detection * Support and guide other engineers in learning about, applying and delivering product features driven by machine learning techniques * Help develop robust model training and data infrastructure to support continual optimization of ML-driven approaches * Assist in steering the direction of research and ML-led development across the tech team * We work with Python and TensorFlow, and run our services on top of Kubernetes and AWS. We also build web-facing services in Ruby, Javascript (with React) and Elixir. You can learn more about our product engineering team and the work we do on our Medium blog (https://medium.com/onfido-tech) Onfido builds trust in an online world by helping businesses digitally verify people’s identities. Using machine learning technology, Onfido validates a user’s identity document and compares it with their facial biometrics. The identity can then be cross-referenced against international credit and watchlist databases. Founded by three entrepreneurs from Oxford University, Onfido has received over $30m in funding from investors including Salesforce Ventures and Idinvest Partners. We carry out checks in 195 countries for global customers including JustGiving, BlaBlaCar and Couchsurfing.

Posted on: 2017-07-20 15:35:59 UTC

A Postdoc Researcher in Computer Vision and Machine Learning

ASTAR|Singapore

A postdoc researcher position is available in the machine learning for bioimage analysis group, BII, A*STAR, Singapore. We are seeking a highly motivated applicant to develop generic computer vision and machine learning algorithms. One of our focus areas is on pose estimation, object detection and tracking, activity recognition and detection from depth images and videos. We also collaborate with leading biologists in the field where machine learning and computer vision play key role, and there are ample opportunities to publish high impact research work. Candidates with the following skills/criteria are preferred: (1) PhD with demonstrated ability to conduct high quality research in computer vision and machine learning. A track record of publications in top venues. (2) Good communication skills and a team player. The position is for 2 years with possibility for renewal. The remuneration package is internationally competitive and is negotiable depending on experience and qualifications. Applications will be accepted until the position is filled. Application should include * a CV, * a statement of research experience and interests, * a list of publications, * academic transcripts, and * the contact details of three references. Please send complete application as single PDF documents to Li CHENG (chengli@bii.a-star.edu.sg). About Us: We are an inter-disciplinary research group working in machine learning and computer vision with applications to biological and medical image analysis. More information can be found at the following websites: http://web.bii.a-star.edu.sg/~chengli/

Posted on: 2017-07-20 14:04:07 UTC

Research Internships on Computer Vision and Machine Learning

ASTAR|Singapore

We are seeking applicants for several six-month research internships in computer vision and machine learning. The candidate is expected to be a top-notch Master or senior undergrad student. We are particularly interested in applicants having backgrounds in computer vision and/or machine learning. The intern is expected to develop novel machine learning algorithms for addressing especially 3D vision-based behavior analysis as well as biomedical imaging applications. Contact Name: Li Cheng Contact Email: chengli@bii.a-star.edu.sg Please send your CV (including GPAs) through email to: Li CHENG,chengli@bii.a-star.edu.sg http://web.bii.a-star.edu.sg/~chengli/

Posted on: 2017-07-20 13:59:19 UTC

PhD Studentship: Scalable Bayesian Nonparametric Models for Biomedical image Analysis University of Sussex, UK and A*STAR, Singapore

ASTAR|Singapore

Funding for: EU and International Students Funding duration: 4 years Funding amount: A stipend at Sussex at the standard Research Council rate (currently £14,553 per annum) plus UK/EU tuition fees waiver and a full stipend directly from A*STAR for years 3 and 4 (currently SGD$2500 per month). Deadline: Applications accepted until position is filled. Overview Applications are invited for an exciting 4-year PhD studentship to research on developing probabilistic nonparametric learning methods suited for analysing biomedical images including but not limited to cellular images. The first challenge is to have expressive nonparametric models that can capture structural pattern of cells from microscopic images, and the second challenge is to have scalable methods that can update models to handle newly acquired biomedical images as time evolves. Biomedical images such as cellular image analysis has become crucial in many areas of biological studies, partly due to the rapid progress of 3D/super-resolved/time-lapse microscopic instruments that open doors to many new opportunities. Meanwhile, the current practice in biomedical field largely relies on manual annotation by specialists, which is often tedious and susceptible to subjective inconsistencies. The project provides a unique opportunity to work at the interface between cutting-edge research in nonparametric probabilistic methods and biomedical image analysis. University of Sussex is a research intensive university, in the sunniest part of UK, 50min by train to Central London, and 30min by cycle to the Brighton Beach (which has a 300m long zip wire). Bioinformatics Institute, A*STAR, Singapore is located in a research hub with a number of renowned research institutions, in the beautiful island nation of Singapore. Applications are invited from individuals with a 1st class or high upper 2nd class Bachelor's or Master's degree with distinction or merit in Computer Science, Statistics, Mathematics or Physics, and an interest in statistical machine learning, Gaussian processes, computer vision, and image analysis. Strong programming skills in at least one of C/C++/R/Python/Matlab are essential. Procedure Applications must be submitted via the University of Sussex Postgraduate Admissions System at https://www.sussex.ac.uk/pgapplication/. Please select Informatics PhD as your programme of study and indicate Dr. Novi Quadrianto as your preferred supervisor. Informal enquiries about the position are welcome and may be addressed to Dr. Novi Quadrianto (http://www.sussex.ac.uk/profiles/335583) or Dr. Li Cheng (https://web.bii.a-star.edu.sg/~chengli/).

Posted on: 2017-07-20 13:55:55 UTC

PhD Studentships in Computer Vision and Machine Learning, Singapore

ASTAR|Singapore

The Machine Learning For Bioimage Analysis group, BII, A*STAR of Singapore is looking for outstanding PhD students to join us. Our research group works on the exciting research topics of machine learning and computer vision. In particular, the highly inter-disciplinary research fields of biological image analysis and machine learning provides abundant exciting opportunities with high-impact influence. The PhD studentships are supported with a generous stipend. PhD degrees will be granted by National University of Singapore or Nanyang Technological University. Further information on the PhD positions can be obtained via http://web.bii.a-star.edu.sg/~chengli/ or by direct inquiries to Dr. Li Cheng (chengli@bii.a-star.edu.sg). Potential candidates are requested to email their CVs (in PDF) to Li Cheng (chengli@bii.a-star.edu.sg).

Posted on: 2017-07-20 13:53:15 UTC

Computer Vision Engineering roles - CVPR2017

Qualcomm Multimedia & Research|San Diego, Santa Clara, Philadelphia, Boston, Korea, Taiwan, Shanghai

Qualcomm Multimedia & Research teams are in search for qualified talent in computer vision / deep learning / machine learning in bringing the future forward faster! We know our employees’ ideas change the world. For more than three decades, we’ve been a global leader in mobile technology, continually pushing the boundaries of what’s possible. Here are few active roles to explore, please apply using Activity Code=CVPR17 : US based roles (San Diego, Santa Clara, Philadelphia, Boston) : · Research Associate - Deep Learning /Computer Vision · Computer Vision – Systems & Algorithms development · Deep Learning Research Engineer · Software Engineer - Autonomous Driving · Systems Engineer - Autonomous Driving · System Integration & Test Engineer, Autonomous Driving (ADAS) · System Integration & Test Engineer, Autonomous Driving (ADAS) · Computer Vision R&D Engineer, eXtended Reality (XR) Systems International Locations (Korea, Taiwan, Shanghai) : · Autonomous Driving Perception Systems Engineer · Autonomous Driving Perception SW Engineer · Autonomous Driving Perception SIT(System Integration and Testing Engineer) Resources: · Computer Vision Research Projects · Automotive · Extended Reality: the future of mobile computing Education Requirements Required: Master's or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering Preferred: Doctorate or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering Email: ssangar@qualcomm.com

Posted on: 2017-07-20 01:30:46 UTC

Computer Vision / Research Scientist or Senior Research Scientist

MERL |Cambridge, MA

MERL is seeking highly qualified applicants for the position of Research Scientist or Senior Research Scientist in the Computer Vision Group. This group pursues cutting-edge research in computer vision for information capture, extraction, analysis, and display from 2D, 3D and 4D data, using deep learning, 3D geometry, image processing, computer graphics & modeling. We perform research ranging from fundamental to applied with a strong emphasis on tackling difficult problems in computer vision. We are currently searching for a colleague to work on problems related to detection, classification, labeling and prediction of objects and actions in a wide range of environments. The group applies its specialized knowledge to challenging industrial problems in areas including robotics, automobiles, safety and security, retail systems, large and small displays, building systems, and medicine. We also contribute to and maintain strong connections in the research community through university collaborations, publications, conference participation, sabbaticals and internships. MERL has a great work environment with lots of friendly, smart people to collaborate with across multiple disciplines, smart and compassionate management, interesting and challenging projects, and a great work/life balance. We are located across the street from MIT, down the street from Harvard, and across the river from Boston in beautiful Cambridge MA. Living costs are much lower than in the SF Bay Area with affordable housing, and low taxes and gas prices. Responsibilities Identify new problems and solutions in computer vision that are broadly useful. Conduct research to evaluate these solutions and publish results in selective peer-reviewed conferences and journals. Conceive futuristic business possibilities and the technology and methods to address them. Learn about existing Mitsubishi Electric businesses and consider their needs when defining research initiatives. Collaborate with Mitsubishi Electric labs in Japan to transfer information, prototypes, and code. Assist in preparing your patent applications. Qualifications A Ph.D. in Computer Science, Electrical Engineering or related areas. Documented track record of creative innovation and of developing, conducting, and leading successful research projects. Excellent programming skills (C/C++, Matlab, Python, etc). Good presentation and writing skills are expected. Applicant must be able to handle multiple assignments simultaneously and balance workload among different projects.

Posted on: 2017-07-19 15:07:27 UTC

Senior scientist in computer vision

OSRAM|Munich, Germany

We are seeking a passionate full-time senior scientist in computer vision. Core responsibilities imply research and development in scene understanding and multi-class detection and recognition. Previous research expertise in action recognition, pose estimation and tracking are welcome, as well as personal initiative in defining new R&D pathways. We request a strong awareness of state-of-the-art techniques and an international publication record in computer vision or related fields. Ability to program in C/C++ is essential. Other programming languages, communication skills and team play are desirable. We provide equal opportunities to all applicants and favor diversity. Please contact me, Fabio Galasso at f.*surname*@osram.com. Send your CV, cover letter, publication list and contact details of 3 referees.

Posted on: 2017-07-19 13:25:20 UTC

Computational Imaging, Research Scientist, 3D geometry and reconstruction

Light|Palo Alto, CA

Light is a team of creative technologists on a mission to reimagine the art and science of photography. We are a venture-backed startup creating a radically new kind of photography. We shipped our flagship computational camera L16 this summer https://light.co/technology. The Computational Imaging (CI) Team welcomes innovative scientists who want to implement their inventions in a fast-paced, collaborative team environment. The CI team is instrumental in researching and developing production software all the way from calibration to image synthesis. This is a unique opportunity to translate state-of-the-art research into consumer applications. As a research scientist at Light you will develop image understanding algorithms to guide our core imaging pipeline. As an expert in recognition and learning you will use your skills to infer scene and object content to improve and enhance the image quality. Requirements: Description: https://ci6.googleusercontent.com/proxy/RnNZfQn2o2xpggJQqefCOervMbPIci5mujDPJnvl43kv6Rtxjyh5gHN_JKVzeU-aaGz3pePFgxfoAAtZJZNx8mveVTc-11j98EfuAJVcumUenA=s0-d-e1-ft#https://ssl.gstatic.com/ui/v1/icons/mail/images/cleardot.gif 1. PhD Degree in Computer Science or Electrical Engineering or 5+ years of relevant industry experience in research and development. 2. Expertise in Computational Photography, Computer Vision and Machine Learning with publications in top conferences such as CVPR, ICCV, ECCV. Or an equivalent experience of shipping products in the industry. 3. Excellent C++ 11 programming skills. Knowledge of OpenCV libraries. Python and other scripting languages a plus. 4. Expertise on RGBD images and/or video for scene and object recognition. 5. Experience applying state-of-the-art machine learning tools such as TensorFlow to novel computer vision problems. 6. Experience with image synthesis and computational photography a plus. Talent Team Contact: Susie Fishman: susie@light.co Feng Li: feng@light.co Link to job site: https://light.co/jobs#job-positions

Posted on: 2017-07-19 07:03:16 UTC

Computational Imaging, Research Scientist, semantic recognition and machine learning

Light|Palo Alto, CA

Posted on: 2017-07-19 07:02:14 UTC

Computer Vision Scientist/Engineer – AR/VR

JD.COM |Santa Clara, CA

JD Platform Products Development team is hiring some top engineers/scientist to join our team. You will design and develop core algorithms, conduct experiments, and evaluate performance to help deliver the best suitable solution for our platform applications. We has organized the AR/VR industry promotion alliance in China and has announced AR/VR as one of its core technologies from its strategy. We needs someone with expertise in one or more of the following R&D projects: machine learning, SLAM, SFM, 3D reconstruction, object tracking. If you have knowledge of parallel computing, CUDA, OpenCL, that will be a great plus. On the largest B2C online retail platform in China, your work will have direct impact on the brand new e-commerce user experience by leveraging your expertise in Augmented/Virtual Reality! If interested in knowing more about it, feel free to send your resume to hui.zhou@jd.com!

Posted on: 2017-07-19 06:33:49 UTC

Senior Unity Engineer – AR

JD.COM|Santa Clara, CA

JD AI & Big Data division is looking for for some talented Unity Engineers to develop different mobile AR applications based on unity 3D. And you will be mainly responsible for 1) research, design and implement unity assets and sciences for AR / VR applications, 2) implement different computer graphics tasks: generating mesh from point cloud, creating avatars, implementing cartoons, Designing UIs, or other interesting projects.… We have huge amount computation resources in our big data cluster and machine learning platform, we also have huge amount data with annotations for development. We need someone with experiences in unity 3D, Unreal, or other 3D game engine development experience, and if you have experiences with virtual fitting room project, that will be a great plus. If you are an intelligent, enthusiastic engineer/scientist with expertise in AR, 3D processing, computer graphics and computer vision techniques, feel free to share your resume with chi.zhang@jd.com!

Posted on: 2017-07-19 06:32:59 UTC

Computer Vision Scientist/Engineer

JD.COM|Santa Clara, CA

JD AI and Big Data division is hiring some top Scientists/Algorithm Engineers into our Core Technology Team to to help in the continued expansion of our technology in AI systems. You will be able to bring most recent technologies into AI services for JD Group, and conduct research on cutting-edge technologies of deep learning, and develop algorithms/models to solve real complex computer vision problems. We have huge amount computation resources in our big data cluster and machine learning platform, we also have huge amount data with annotations for development. Integrated with machine learning and big data, we develop AI services in computer vision, improving JD’s automated operations, optimizing JD.com website and speedup JD’s warehousing. If you are an intelligent, enthusiastic engineer/scientist, with MS or PhD degree and background in machine learning, with a strong focus on AI, Computer Vision and Deep Learning. Feel free to share your resume with weidong.zhang@jd.com!

Posted on: 2017-07-19 06:32:21 UTC

Computer Vision / Machine Learning R&D Engineer

Koh Young Research America|San Diego, CA, USA

Koh Young Technology is a world leader in 3D measurement and inspection technology used in the projection of micro-electronics assemblies. Using patented 3D measurement technology, Koh Young provide best-in-class products including Solder Paste Inspection (SPI) and Automated Optical Inspection (AOI) for electronics manufacturers worldwide. With its headquarters in Seoul, Korea, direct sales and support centers are located in the United States, Germany, Japan, China, Singapore, Vietnam and Korea to serve more than 1,700 customers worldwide. Koh Young was founded in 2002 and delivered its first product, high speed 3D inline SPI system to clients in 2003. In 3D SPI System Market, Koh Young has No.1 market share since 2006, and in total SMT Inspection System Market since 2014 after introducing its 3D AOI in 2013. Also, Koh Young is in a close collaboration with top medical schools & hospitals in US, Korea and Japan to develop surgical robot systems for Neurosurgical field. Core technologies developed in-house are fully utilized, while field experience and expertise from doctors and hospitals are excellent resources to complete the products before going to users. Koh Young is seeking a self-motivated and experienced Computer Vision / Machine Learning R&D Engineer for a newly established a separate R&D center in San Diego, California. Job Functions: • Research and develop scalable computer vision and machine learning solutions to hard problem • Investigate and solve exciting and difficult challenges in medical image recognition/classification, object detection/tracking/recognition, 3D scan and deep learning • Design, implement, and deploy full-stack computer vision and/or machine learning solutions Position Requirements: • Education and Experience Required: Master's degree in Computer Science or Electrical Engineering plus 3 or more years of relevant experience Preferred: Doctorate in Computer Science or Electrical Engineering plus 1 or more years of relevant experience • Strong understanding of Machine learning and Computer vision algorithms and applications, such as CNN/deep learning, and their optimizations for efficient implementation on embedded systems • Solid foundation in computer vision; key areas of interest include object detection, tracking and recognition; multiple view geometry, 3D computer vision and SfM/SLAM; activity recognition • Expert in algorithm modifications and optimizations for efficient processing including fixed point conversion, exploiting parallelism, balancing data transfer and computation • Expert in use of Machine learning and computer vision frameworks and libraries such as MXNet, Caffe, Torch, Tensorflow, OpenCV, etc • Strong C/C++ programming skills, preferably in an embedded environment with DSP and GPU • Ability to work individually or with a team of engineers to develop innovative Machine learning and computer vision applications and showcasing them on real-time platforms

Posted on: 2017-07-19 06:30:59 UTC

PhD and Postdoctoral Positions in Computer Vision

University of Bonn|Bonn, Germany

PHD and PostDoc positions are available within the Computer Vision Group at the University of Bonn, Germany. The topics are in the areas of action recognition, object detection, and human pose estimation. For an overview of related research visit https://pages.iai.uni-bonn.de/gall_juergen or the webpage of the DFG funded research unit "Anticipating Human Behavior" (https://pages.iai.uni-bonn.de/FOR2535). The University of Bonn is a public research university located in Bonn, Germany, and was founded in its present form in 1818. The University of Bonn has over 550 professors and 35,000 students. Among its notable alumni and faculty are seven Nobel Laureates, three Fields Medalist, twelve Gottfried Wilhelm Leibniz Prize winners, Prince Albert, Pope Benedict XVI, Frederick III, Karl Marx, Heinrich Heine, Friedrich Nietzsche, and Konrad Adenauer. Bonn is also home to several specialized research institutes like the Max Planck Institute for Mathematics. More information about the university can be found at https://en.wikipedia.org/wiki/University_of_Bonn or https://www.uni-bonn.de/the-university. Please send your application as single PDF including cover letter, CV, transcript of records, certificates of degrees, list of publications (if available), and contact details of three professional referees to gall@iai.uni-bonn.de .

Posted on: 2017-07-19 03:01:10 UTC

Computer Vision Scientist for Autonomous Vehicles

University of Nevada, Las Vegas - Fraunhofer IVI|Las Vegas, Nevada and Dresden, Germany

The University of Nevada, Las Vegas (UNLV) is seeking qualified candidates to serve as lead computer vision scientist for autonomous vehicles and ITS for the UNLV Transportation Research Center/Nevada Center for Advanced Mobility. The position will manage, develop, implement and field test software for AV and connected vehicles (CV) with ITS infrastructure. This position requires working with an interdisciplinary and diverse team of professors, university professionals, and graduate students as part of a joint research collaboration between Fraunhofer IVI in Dresden and UNLV. The position will require 12-15 months in Dresden initially and then a return to UNLV afterwards. This position requires a Ph.D. degree from a regionally accredited college or university and experience in object detection/classification, tracking, and activity analysis. The candidate should be an expert in machine learning/AI with strengths in deep learning including convolutional neural networks (CNNs), and recurrent neural networks (RNNs). The ideal candidate will be familiar with reinforcement learning and deep learning tools such as Caffe, TensorFlow, Theano, and Keras. Please contact Brendan Morris <brendan.morris@unlv.edu> to apply or further information.

Posted on: 2017-07-18 12:08:10 UTC

Open PhD Position in Automated Driving

Las Vegas, Nevada |Las Vegas, Nevada

Applications are invited for a PhD position in the Electrical and Computer Engineering Department at the University of Nevada, Las Vegas with three years of funding. The research area of interest is in environmental perception and situational understanding for autonomous driving. In particular, the funding is for use of deep learning to understand social interactions during driving to help enable the transition between human and automated cars. The candidate will work under the supervision of Professor Brendan Morris in the Real-Time Intelligent Systems lab (http://rtis.oit.unlv.edu/) and should have the following: a strong academic record; expertise in on or more of computer vision, deep learning, or machine learning; strong programming skills in languages such as C++ and Python and familiarity with deep learning libraries such as Caffe, Theano, or TensorFlow. For further information, interested applicants should send a CV and statement of research interest to brendan.morris@unlv.edu.

Posted on: 2017-07-18 12:07:43 UTC

Research Scientists in the Corporate Research Lab of 3M

3M|US, Minnesota, Maplewood

Join a team of Research Scientists in the Corporate Research Lab of 3M! We are seeking multiple candidates with Machine Learning, Data Science and Computer Vision background that will use their academic experience in computer vision, machine learning, and data science technologies to invent, develop, and create new opportunities, in addition to supporting existing 3M products and businesses. We are interested in speaking to candidates with a PhD in related fields and 0-5 years of experience. Follow link(s) to view the complete job posting(s): Senior Machine Learning Engineer https://3m.wd1.myworkdayjobs.com/en-US/Search/job/US-Minnesota-Maplewood/Senior-Machine-Learning-Engineer--Maplewood--MN-_R00032306-1 Senior Machine Learning Engineer https://3m.wd1.myworkdayjobs.com/en-US/Search/job/US-Minnesota-Maplewood/Senior-Machine-Learning-Engineer---Maplewood--MN-_R00037733-1 We will be at CVPR and would love to meet in person. Please email Deepti Pachauri (dpachauri@mmm.com) to schedule a one-on-one with us.

Posted on: 2017-07-18 12:05:16 UTC

Computer Vision Engineer

Shopagon|San Francisco, CA / Remote

At Shopagon we believe that to create engaging, individualized, visual experiences, algorithms need to understand both pictures and their relationship to people. Our current focus is on fashion where we are building specialized models of visual style to personalize the online shopping experience. Founded by Professors Tamara & Alex Berg, the team has a long history of successful research in computer vision and a mild obsession with fashion and shopping. We are looking for people eager to get in on the ground floor of a rising start-up and develop machine learning that impacts real-world products. We are also drawn to folks who share our passion and excitement for human-focused AI. We highly value collaboration, new ideas, and an ability to make things work. Interest in fashion or style is a plus. Your background should include 2+ years of hands-on experience in machine learning, especially deep learning for computer vision. You should be comfortable working in one or more deep learning frameworks and should be able to interface with all levels of the development stack. MS or PhD in computer science or related field preferred. Relevant industry experience highly valued. Salary and equity based on experience. Location flexible for the right candidate. Apply by email at jobs@shopagon.com. We also have a booth at CVPR (#758) and are happy to chat on location!

Posted on: 2017-07-18 12:03:57 UTC

SLAM Research Engineer (at all levels)

Samsung Research America|Dallas, TX

Samsung MPI Lab’s Computer Vision team is looking for research engineers/scientists with expertise in visual SLAM to join our interdisciplinary team of software and hardware engineers. You will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms ability to understand visual environments and interact with users. By creatively applying computer vision and machine (deep) learning technologies, you will contribute to taking the user experiences on Samsung Mobile products to the next level. The projects at MPI Lab have direct impact on future Samsung products reaching millions of users worldwide. <<Responsibilities>>: -Prototype multiple view geometry and deep learning algorithms for mobile platforms. <<Qualifications>>: Hands-on experience in one or more of the following areas: SLAM, Deep Learning, Augmented Reality, Virtual Reality, Computer Graphics. <<Interested candidates>> please email your resume with subject line "SLAM Research Engineer CVPR17 + [Your Name]".

Posted on: 2017-07-18 12:03:17 UTC

Multiple R&D Scientist and Engineer Positions

Imsight Medical Tech Inc.|Hong Kong, Shenzhen

Imsight Medical Tech Inc. has been voted as one of the 50 A.I. companies in China. It is incubated by the Medical Image Analysis laboratory at The Chinese University of Hong Kong (CUHK). The company was founded by a group of professors and PhDs from CUHK together with the VP from Fortune 500 Company. We focus in developing medical image analysis software together with large-scale platforms for automated processing of medical images. We received initial funding from the Hong Kong government, and up to twenty million Pre-A capital investment. The company is growing rapidly, established steady collaborations with many leading hospitals in China, and set up offices in Shenzhen, Hong Kong, Chengdu and Beijing of China. We are currently recruiting talents and we offer competitive salary for both full-time and internship positions: Medical Image Analysis Engineer: Conduct R&D work on medical images including preprocessing, object detection & segmentation etc.; strong programming skills are preferred. Deep Learning Research Scientist: Develop DL algorithms for automated recognition of medical images; proficient with deep learning platforms such as Caffe/Theano/PyTorch/TensorFlow. Software/Deep learning Engineer: Conduct development of medical image analysis software, deploy deep learning modules; strong programming skills, proficient with C/C++, Python are required. Cloud Platform Engineer: Deploy cloud computing environment for medical image analysis, solve technical problems encountered in deployment, including data base, networking, interactive interface etc.; related experience and strong programming skilled preferred. UI Engineer (medical related): Design and develop UI interface, optimize front-end performance of our system, improve the user experience, provide technical solutions. Please send your CV to dream@imsightmed.com.

Posted on: 2017-07-18 12:02:40 UTC

Senior Computer Vision Researcher

Baidu.com|Beijing, China

【Responsibilities】 As the core member of our innovation team, you are responsible for exploring and implementing advanced AR technologies. Below is a list of areas you will work on: 1. Applying deep learning technology to SLAM algorithms, creating new experience by calculating the geometry and semantic information of real world 2. Exploring better way to capture and display real world objects in AR, using advanced technology such as light field 3. Exploring new algorithms to efficiently estimate real world lighting and improve the quality of realistic rendering 4. Developing and optimizing algorithm for different hardware platform 【Requirements】 1. PhD degree in Computer Vision, Computer Graphics, Machine Learning or related field 2. Expert knowledge of tracking, detection, recognition and image processing 3. Expert knowledge of SLAM, 3D reconstruction, and camera array 4. Publications of top computer vision/graphics venues are required

Posted on: 2017-07-18 12:01:48 UTC

3D Vision Research Engineer(fulltime/intern)

Baidu.com|Beijing, China

【Responsibilities】 You will be working on 3d computer vision algorithms, including but not limited to the following areas: 1. Object recognition and tracking 2. SLAM with different sensor solutions (monocular, stereo, RGB-D) 3. Data fusion of images and IMU information 4. 3D reconstruction from images and depth information 【Requirements】 1. MS or PhD degree in Computer Vision, Machine Learning or related field 2. Strong C/C++ programming skill 3. Knowledge of 3D vision, multiple view geometry 4. Experience of SLAM, sensor fusion, and optimization etc. 5. Publications of top computer vision conference or journal are preferred

Posted on: 2017-07-18 12:01:21 UTC

Compute Vision Engineer, Machine Learning & Intelligence

Nod Labs|Mountain View, California, USA

From a cozy, kinda messy lab in Mountain View, our team experiments with cutting-edge methods of embedded Visual and Inertial motion tracking and accurately translating everyday human movement. From Augmented and Virtual Reality to drones and smart assistants, Nod is redefining the way we converse with our machines. We are looking for candidates who have experience with deep learning algorithms and systems, specifically in areas such as disparity estimation, pose estimation, SLAM, object recognition and scene segmentation. Proficiency with Tensorflow is preferred but other frameworks are ok too. We are on the forefront of utilizing deep learning and computer vision on the edge where we have very limited compute capabilities, so bonus points if you understand the frameworks inside-out since you will likely be pushing the boundaries of their designs. Please email jobs@nod.com if interested. More information at nod.com

Posted on: 2017-07-18 11:59:54 UTC

Computer Vision Engineer

Nod Labs|Mountain View, California, USA

From a cozy, kinda messy lab in Mountain View, our team experiments with cutting-edge methods of embedded Visual and Inertial motion tracking and accurately translating everyday human movement. From Augmented and Virtual Reality to drones and smart assistants, Nod is redefining the way we converse with our machines. We're looking for outstanding, capable Computer Vision engineers with a range of skills. You will be pushing the boundaries of visual-inertial SLAM (monocular or stereo based), object detection/recognition, scene segmentation and more. We take pride in not just cutting edge research but also bringing it to very small footprint embedded devices. This means you will not only be developing prototypes in Matlab and OpenCV but also productizing that research in small embedded DSPs like Movidius Myriad or Qualcomm Hexagon DSP. Please email jobs@nod.com if interested. More information at nod.com

Posted on: 2017-07-18 11:59:25 UTC

Senior Computer Vision Scientist

JD.COM|Santa Clara, CA

JD-X Research and Development Center (Santa Clara, CA) is seeking motivated individuals to join our entrepreneurial team and make fully automated fulfillment solution a reality. We have multiple Senior Computer Vision Scientist openings in our team to design and develop state-of-the-art computer vision and machine learning algorithms for mapping, localization, scene analysis, object detection and classification, object tracking, and activity recognition, to directly change what we do in JD fulfillment service and delight our customers. We prefer someone with MS/PhD in Computer Science, Electrical Engineering or equivalent with a focus on Computer Vision and Machine Learning, and deep expertise in Computer Vision including 3D Mapping, Visual Odometry, Scene Analysis, 2D/3D Object Detection, Object Tracking, Object Classification, Activity Detection and Recognition. If you are an individual who has the passion and the drive to handle complex problems, get things done, create innovative solutions and make impacts to the real-world, JD-X RDC is the place for you. Please feel free to share your resume/CV with hr-sv@jd.com!

Posted on: 2017-07-18 07:10:59 UTC

Computer Vision Engineer Intern

Photon-X|Kissimmee, Florida

Computer Vision Engineer Internship Responsibilities This position requires a broad set of optical and software skills with an emphasis on rapid prototyping. This individual will support staff Phds within the Software Department. The work is a combination of 3D optics research and improvements and upgrades to existing 3D vision systems. Areas of responsibility include system architecture, algorithm development and hardware design and assembly. The work environment is a small, aggressive technology company with a team atmosphere. Applicant must work well independently and in teams. Skills and requirements Required technical skills · BS in Computer Science, or related programming field · Rapid software/algorithm prototyping skills, preferably with a combination of Matlab for high level work and C or C++ for lower level. · Experience with Pattern Recognition and Machine Learning Algorithms · Strong math and algorithmic background. · Strong knowledge/experience with three dimensional (3D) imaging concepts. · Experience with cameras, lenses and photography practices. · Experience in tracking, activity recognition, biometrics, and emotion recognition Additional desired technical skills Applicant should understanding and be able to apply specific optimization and learning methods for nonlinear function estimation Familiarity with methods for improving CMOS/CCD image data. Experience with 3rd party 3D modeling software. Familiarity with 2D surface interpolation and transforms. Familiarity with two-image or multi-image 3D correspondence problem. Contact for the job is: jobs@photon-x.com.

Posted on: 2017-07-18 04:39:48 UTC

Computer Vision Engineer

Photon-X|Kissimmee, Florida

Computer Vision Engineer Responsibilities This position requires a broad set of optical and software skills with an emphasis on rapid prototyping. The work is a combination of 3D optics research and improvements and upgrades to existing 3D vision systems. Areas of responsibility include system architecture, algorithm development and hardware design and assembly. The work environment is a small, aggressive technology company with a team atmosphere. Skills and requirements Required technical skills · MS in CS, CE, or EE; prefer candidates with PhD · Rapid software/algorithm prototyping skills, preferably with a combination of Matlab for high level work and C or C++ for lower level. · Experience with Pattern Recognition and Machine Learning Algorithms · Strong math and algorithmic background. · Strong knowledge/experience with three-dimensional (3D) imaging concepts. · Experience with cameras, lenses and photography practices. · Experience in tracking, activity recognition, biometrics, and emotion recognition Additional desired technical skills Applicant should understand and be able to apply specific optimization and learning methods for nonlinear function estimation Familiarity with methods for improving CMOS/CCD image data. Experience with 3rd party 3D modeling software. Familiarity with 2D surface interpolation and transforms. Familiarity with two-image or multi-image 3D correspondence problem Required soft skills Must be able to obtain a U.S. government security clearance Must have excellent command of English language, both written and verbal Must work well independently and in teams. CONTACT for the job is : jobs@photon-x.com.

Posted on: 2017-07-18 04:39:13 UTC

Machine Learning and Computer Vision Scientist (Application/Assistant/Associate/Full)

The Jackson Laboratory|Bar Harbor, ME

About the position: The Jackson Laboratory in Bar Harbor, ME is seeking an exceptionally talented and highly motivated Computational Scientist to lead research efforts to use machine vision for mouse phenotyping. The Kumar Laboratory is a highly collaborative and interdisciplinary group of neuroscientists, engineers, statisticians, and geneticists looking to leverage recent advancement of neural network based computer vision to understand the genetic and neurobiological underpinnings of mental illnesses such as addiction, ADHD, and depression. Success in this position will lead to international recognition through publications and grant opportunities. The successful candidate will lead the development of neural network and deep learning based intelligent systems critical for health and disease diagnosis and treatment. The project involves, but is not limited to, deriving quantitative measurements and classification of mouse behavioral patterns from video data, and integration of behavioral data with genomics, electrophysiology, and genetic data. The successful candidate will work collaboratively with other scientists, including geneticists, statisticians, engineers, and neurophysiologists. They will have unique opportunities to make leading contributions to the machine learning and computer vision initiative at The Jackson Laboratory, including projects and grant applications in biomedical research. Ample opportunities are available for career and educational advancement. KEY RESPONSIBILITIES • Lead efforts in developing and deploying machine learning, deep learning, computer vision, artificial intelligence algorithms for automated quantitative mouse behavioral phenotyping. • Analyze big data (video, behavioral, genomics, neurophysiology) of mouse phenotyping and produce quantitative data amenable for downstream hypothesis driven neurogenetic studies. • Leverage internal and public data that are high-volume, high-dimensional from varying sources to discover testable patterns, anomalies, relationships and trends. • Work closely with other computer scientists, biostatisticians, engineers, and neuroscientists for relevant software development and data analysis • Collaborate in the development of new tools and algorithms in machine learning and computer vision for disease phenotyping. • Make leading contributions to the neural network based machine learning, computer vision, and artificial intelligence initiative at The Jackson Laboratory. MINIMUM QUALIFICATIONS • PhD in Computer Science/Electrical Engineering specializing in Machine Learning and Computer Vision. PhD in other fields combined with work experience in the field of Machine Learning and Computer Vision will be considered. • Bachelor’s or Master’s degree in a field such as Computer Science, Computer Engineering, Statistics, Mathematics, or Physics with significant experience in Machine Learning and Computer Vision will also be considered. • Thorough understanding of machine learning algorithms including neural network (CNN, RNN, region proposal networks, un/semi- supervised approaches), random forests, classifiers, feature representations, AI/Artificial Intelligence and/or related techniques • Expertise in modeling temporal and sequential data, and multimodal data integration. • Advanced expertise in languages such as Python, R, C++, or D. • Experience contributing to scientific software development efforts to deliver computer vision pipelines, tools, and video/image data analyses. Team player with excellent written and oral communication skills APPLICATION INSTRUCTIONS: Please include a cover letter along with your resume/CV. Applications without cover letters will not be considered.

Posted on: 2017-07-17 14:16:10 UTC

Computer Vision Scientist at Naver Labs Europe

NAVER LABS, Inc.|Grenoble, France

Naver Labs Europe is hiring! Naver Labs Europe conducts research in autonomous vehicles, AI, 3D mapping, AR, and robotics. We invite applications for research scientist positions for which the successful candidate will contribute to the invention, development and benchmarking of computer vision technologies such as object recognition, retrieval, detection, tracking, and 3D reconstruction. S/he will also contribute to the deployment of these technologies in Naver products. << Requirements >> • Ph.D. degree in computer vision, machine learning or multimedia. • Excellent publication track record in major computer vision, machine learning or multimedia conferences and journals. • Strong development skills, preferably in C/C++ and/or python. • Highly motivated. To submit an application, please send your CV, cover letter as well as the name of at least one reference to naila.murray@naverlabs.com. About NAVER LABS is an ambient intelligence company that develops future technologies including autonomous driving, robotics and artificial intelligence. Since its establishment as NAVER’s R&D division in 2013, it has led NAVER’s innovation in technology through products such as ‘Papago’, AI-based translation app, Whale, the omni-tasking web browser, and M1, the 3D indoor mapping robot.

Posted on: 2017-07-17 13:20:22 UTC

Research Scientist / Software Engineer / PostDoc in Computer Vision and Machine Learning

Clova AI Research (CLAIR), NAVER-LINE|Gyeonggi-do, Republic of Korea

NAVER-LINE is an Asian top internet company and develops Clova, a cloud-based AI-assistant platform. CLAIR is the AI research organization for achieving next generation of AI-assistant platforms. CLAIR provides numerous real-world data generated from NAVER-LINE global services and unlimited hardware infrastructures for you. Above all, your research results can be applied to many real-world services using more than 650 million people, thus allowing them to be happy by providing valuable experiences. CLAIR provides environments where you can fully focus on research in a free and self-motivating atmosphere. Join us and be a pioneer to be at the frontiers of AI research to advance "a more convenient and better future" <<Responsibilities>> - Real-time object detection / recognition on mobile environments - Human face / pose / gesture detection / recognition for user understanding - Semantic relationships between objects and humans for video analysis - OCR - Machine learning theories for computer vision - Other topics related to computer vision for AI <<Qualifications>> - PhD degree or equivalent experiences in computer vision and machine learning (PhD only for PostDoc) Please send your application (cover letter and CV) to clair-jobs@navercorp.com , with the title “CVPR + [Your name]”

Posted on: 2017-07-17 06:42:32 UTC

Software Engineer in Computer Vision, AR, Robotics

NAVER LABS, Inc.|Gyeonggi-do, Republic of Korea

NAVER LABS is an ambient intelligence company. Naver Labs is a world-class team of self-motivated and highly-engaged researchers, engineers, and interface designers collaborating to create next generation ambient intelligent technology and services that deeply understands you and your contexts. "We are looking for someone - who does not hesitate to take on new challenges - who collaborates beyond team boundaries - who believes in user value rather than personal research/engineering interests". <<Responsibilities>> • Visual SLAM, SfM (Structure from Motion), Stereo-vision • Object Recognition (Detection, Tracking and Segmentation) • Image Processing using Camera, RADAR, LIDAR Sensor • Machine Learning (Deep Learning, Reinforcement Learning) • GPGPU, CUDA, OpenCL, Embedded System. <<Qualifications>> • PhD or equivalent experience is a plus . Visit our web site for more information (www.naverlabs.com) Please send your application (cover letter and CV) to jobs@naverlabs.com, with the email title “CVPR + [Your name]”

Posted on: 2017-07-17 03:00:31 UTC

GPU Architect

Panasonic Automotive|Frankfurt area, Germany

The Panasonic Automotive R&D Center in Langen (Frankfurt area, Germany) is developing state-of the art robust solutions for autonomous driving systems. We are looking for an experienced Lead GPU Engineer/ Architect to help enhance our GPU system architecture and work closely with our computer vision team. As a new member of our team, you will contribute with your know-how and creativity to shape our vision of assisted and automated driving while making a positive impact on the ADAS community. Responsibilities: Develop high performance CUDA / OpenCL kernels for our vehicle's perception systems. Make decisions balancing GPU performance with the modularity of our perception software stack. Be the key point of contact for GPU related issues, infrastructure, and best programming practices within the company. Advise computer vision software engineers about architectures and approaches that will facilitate future transition to embedded / GPU-based systems. Identify bottlenecks and optimize existing CUDA / OpenCL kernels and libraries. Develop instrumentation where applicable so that others can benefit and quickly catch up on GPU profiling and performance monitoring. Requirements: 7+ years of professional experience in C/C++ coding, with 3+ years directly focusing on GPU programming. Hands-on experience on re-structuring algorithms for GPU optimization. Very good understanding of computer vision and signal processing topics. Strong expertise in design and architecture of GPU hardware. Experience in porting computer vision algorithms to GPU platforms. Experience in automotive code-compliance standards. Superb coding skills and long-term affinity towards high-quality software development. Experience with real-time and/or embedded systems is a plus. If you are interested, please send an email with your CV to borislav.antic@eu.panasonic.com.

Posted on: 2017-07-15 01:15:52 UTC

R&D Engineer (m/f) Computer Vision & Deep Learning

Siemens|Berlin, Germany

Department: Mobility, Technology & Innovation Description: Exited to work on challenging computer vision/ machine learning/ deep learning problems for new Mobility & Transportation solutions? Applications include Autonomous Driving, AR / 3D object recognition, Video Analytics and others. Location is in Berlin. https://jobsearch.siemens.biz/sfcareer/jobreqcareer?jobId=270690&company=Siemens&username= Application Instructions: If interested, please email me with your CV: claus.bahlmann@siemens.com

Posted on: 2017-07-15 01:14:43 UTC

Machine Learning Software Engineer, Adobe Research

Adobe Research|San Jose, CA

Creative Intelligence Lab within Adobe Research plays a key role in creating next-generation applications and features in Adobe's flagship products, including Photoshop, Premiere, After Effects, Illustrator, Lightroom, and Acrobat. We have worked on banner features such as Photoshop's Content-Aware Fill, Upright Photo, and Generator/Export; Premiere's Multi-Camera Sync; Audition's Remix; Illustrator's latest Pencil tool; and an array of forthcoming mobile apps and desktop features. Creative Intelligence Lab is searching for a machine learning software engineer specializing in video recognition. Responsibilities include working closely with researchers, engineers, user experience designers, and product managers to build prototypes that showcase new research technologies, and to help integrate those technologies into Adobe's products. This position will initially focus on building a recognition system for video, and may expand to include additional areas of innovation, such as graphics, vision, HCI, machine learning, and programming languages. We're looking for exceptional candidates with expertise in computer science or software engineering. For this position, we will give preference to candidates with experience in applied machine learning and image/video recognition. For successful candidates, nearly all of the following will be true: You have significant experience in building robust, complex software systems. You are excellent at collaborating with a team to get work done. You are comfortable both building prototypes from scratch and writing maintainable code inside large existing codebases. You have shipped software in a commercial environment (start-ups a plus) and can deal with last-minute bug fixes and schedule changes. Requirements for this position include: M.S. degree or higher in Computer Science or a related field. Significant experience developing image and/or video recognition systems using popular deep learning software libraries, such as TensorFlow and/or Torch. Ability to write efficient, clean, and reusable code. Strong communication and collaboration skills. Ability and willingness to learn new technologies quickly. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

Posted on: 2017-07-15 01:13:00 UTC

Research Engineer, Adobe Research

Adobe Research|San Jose, CA

Creative Intelligence Lab within Adobe Research plays a key role in creating next-generation applications and features in Adobe's flagship products, including Photoshop, Premiere, After Effects, Illustrator, Lightroom, and Acrobat. We have worked on banner features such as Photoshop's Content-Aware Fill, Upright Photo, and Generator/Export; Premiere's Multi-Camera Sync; Audition's Remix; Illustrator's latest Pencil tool; and an array of forthcoming mobile apps and desktop features. CIL is searching for a software engineer specializing in deep learning and computer vision. Responsibilities include working closely with researchers, engineers, user experience designers, and product managers to build prototypes that showcase new research technologies, and to help integrate those technologies into Adobe's products. The technology areas include graphics, vision, HCI, machine learning, and programming languages. We're looking for exceptional candidates with expertise in computer science or software engineering. For this position, we will give preference to candidates with experience in one or more of the following areas: Developing image and video recognition technologies Developing GPU accelerated technologies in Metal, Cuda, etc. Developing mobile applications on iOS Developing scalable web services Transferring new research into shipping products For successful candidates, nearly all of the following will be true: You have significant experience in building robust, complex software systems. You are excellent at collaborating with a team to get work done. You are comfortable both building prototypes from scratch and writing maintainable code inside large existing codebases. You have shipped software in a commercial environment (start-ups a plus) and can deal with last-minute bug fixes and schedule changes. Requirements for this position include: MS degree in Computer Science or a related field. 3+ years of industrial experience as a software engineer. Solid software design skills. Familiarity with machine learning and deep learning. Ability to write efficient, clean, and reusable code in C++. Strong communication and collaboration skills. Ability and willingness to learn new technologies quickly. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

Posted on: 2017-07-15 01:12:17 UTC

Sensor Fusion Researcher

DAQRI|Vienna, Austria

DAQRI is at the cutting edge of technology focused on AR products: the DAQRI Smart Helmet, Smart Glasses, Qube, and a real-time dynamic holographic technology based Heads Up Display (HUD) product. We are looking for a Sensor Fusion Researcher to join our team in Vienna, Austria. Our Computer Vision team is dedicated to delivering the best Augmented Reality and Computer Vision experience. We are looking for smart, innovative and motivated individuals with Computer Vision and Augmented Reality research & development backgrounds. As a member of the Computer Vision team you will be responsible of creating the next generation algorithms that power our hardware and software. You will work with vision based tracking and reconstruction systems, inertial measurement assisted SLAM systems. Your work will contribute to the entire pipeline, from robust calibration to fast positioning and accurate mapping of the environment. You will perform research and development of new techniques that will have a strong impact on our SmartHelmet and our Holographic Displays. Responsibilities: (i) Design and implement new algorithms for fusing data from multiple sensor types (ii) Extend and further improve the DAQRI VIO inside-out tracking system (iii) Develop new tracking technology for upcoming DAQRI product lines Qualifications: (i) Highly skilled in probabilistic filtering theory and inertial pose theory (ii) Experience in modeling dynamic systems using Kalman filters or equivalent methods (iii) Good understanding of 3D computer vision algorithms (iv) Experience in designing efficient algorithms for mobile platforms (v) Good C/C++ programming and software design skills, including debugging, performance analysis, and test design (vi) Proficiency MATLAB or similar simulation and modeling tools (vii) Strong Mathematical/Statistical fundamentals. Please contact Kai Zhou (kai.zhou@daqri.com) who will be at the conference to meet and provide more information. To Apply: www.daqri.com/careers “Sensor Fusion Researcher”

Posted on: 2017-07-14 06:01:20 UTC

Senior SLAM Researcher

DAQRI|Vienna, Austria

DAQRI is at the cutting edge of technology focused on AR products: the DAQRI Smart Helmet, Smart Glasses, Qube, and a real-time dynamic holographic technology based Heads Up Display (HUD) product. We are looking for a Senior SLAM Researcher to join our team in Vienna, Austria. Our Computer Vision team is dedicated to delivering the best Augmented Reality and Computer Vision experience. We are looking for smart, innovative and motivated individuals with Computer Vision and Augmented Reality research & development backgrounds. As a member of the Computer Vision team you will be responsible of creating the next generation algorithms that power our hardware and software. You will work with vision based tracking and reconstruction systems, inertial measurement assisted SLAM systems. Your work will contribute to the entire pipeline, from robust calibration to fast positioning and accurate mapping of the environment. You will perform research and development of new techniques that will have a strong impact on our SmartHelmet and our Holographic Displays. Responsibilities: (i) Design and implement new algorithms for sparse mapping, wide-area relocalization and loop closing (ii) Develop methods for densifying SLAM maps (iii) Perform research on long-term mapping for persistent and continuously expanding sparse maps (iv) Perform research on multi-user SLAM Qualifications: (i) 6+ years of experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization (ii) Familiar with state of the art theory for visual SLAM and place recognition (iii) Machine learning methods for object detection or reconstruction (iv) Fusion of multiple sources of information for tracking (v) Good C/C++ programming and software design skills, including debugging, performance analysis, and test design (vi) Proven track record in implementing computationally expensive algorithm in commodity hardware (vii) Proficiency MATLAB or similar simulation and modeling tools (viii) Strong Mathematical/Statistical fundamentals. Please contact Kai Zhou (kai.zhou@daqri.com) who will be at the conference to meet and provide more information. To Apply: www.daqri.com/careers “Senior SLAM Engineer”

Posted on: 2017-07-14 06:00:34 UTC

Software Engineer at Didi

DiDi Chuxing|Beijing, CHINA / Mountain View, California, USA

DiDi Chuxing is the world’s leading mobile transportation platform, which offers a full range of mobile tech-based mobility options for nearly 400 million users. DiDi is devoted to attract top engineers to drive transformation in the global transportation industry. We aim at building the best place to share and work with others; we believe there is a perfect spot for you to grow with us. We are looking for talented software engineers to develop algorithms and pipelines for Didi special project. The algorithms will be applied on real vehicles to be deployed in Didi’s network and deliver the state of the art technology to the customers. Qualifications:  Bachelor or Master degree in Computer Science or related disciplines;  Proficient in C++;  3+ years of industrial work experience or equivalent.  Familiarity with one of the following areas would be a plus:  Back-end infrastructure on large distributed system;  Front-end web programming;  QT and/or OpenGL programming;  Machine learning related projects. Please send your resume+cover letter to: Globalhr@didichuxing.com. Please provide the following information in the email subject line: CVPR_Name_Position_Education.

Posted on: 2017-07-14 02:05:30 UTC

Research Scientist at Didi

DiDi Chuxing|Beijing, CHINA / Mountain View, California, USA

DiDi Chuxing is the world’s leading mobile transportation platform, which offers a full range of mobile tech-based mobility options for nearly 400 million users. DiDi is devoted to attract top engineers to drive transformation in the global transportation industry. We aim at building the best place to share and work with others; we believe there is a perfect spot for you to grow with us. We are looking for experienced research scientist to develop technologies for our special project. You will be responsible to develop the real-time algorithms that are running on our vehicle platform and providing services in Didi’s network to the customers. Qualifications:  Master or PhD degree; 3+ years of work experience in Artificial Intelligence related fields: Computer Vision, Path Planning, or general Machine Learning etc.  Proficient in C++ or Python programming;  Track record of publications in top international conferences or journals is a plus. Please send your resume+cover letter to: Globalhr@didichuxing.com. Please provide the following information in the email subject line: CVPR_Name_Position_Education.

Posted on: 2017-07-14 02:04:43 UTC

Artificial Intelligence / Machine Learning Advanced Technologist (P4) - (1700009141)

The Boeing Company|United States-Alabama-Huntsville

Job: Advanced Information Technologist Job Code: BBAPP4 Union: No Organization: Boeing Research & Technology Schedule: Full-time Shift: Day Job Job Type: Standard Job Level: Individual Contributor Travel: Yes, 10 % of the Time Relocation Assistance Available?: Yes. Available for eligible candidates, if authorized Security Clearance: No Security Clearance Required Job Posting: Jul 11, 2017, 11:01:40 PM Description Overview: •The Boeing Company is seeking a talented and highly motivated machine learning professional to assist with the design, development, and deployment of autonomous airplanes, robotics, drones, and other advanced technologies. •The ideal candidate will have experience and interest with machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation. •The candidate will have a strong background in statistics, probability, mathematics, databases, and programming skills. •General knowledge of recent tools and techniques in these areas are required. •Programming skills with Python, R, Matlab, C, C++, Java are necessary. •A successful candidate will become part of the growing Boeing Research & Technology, Boeing’s central R&D organization, Analytics and Simulation organization in Huntsville, AL and work in the new Center for Applied Simulation and Analytics (CASA). •The ideal candidate will have general knowledge in different techniques applied in machine learning such as supervised learning and unsupervised learning, and of basic concepts in probabilities and applied statistics. •The types of algorithmic solutions should span across different types of data ranging from numeric, textual (structured or unstructured), images, and video. Responsibilities: •The candidate for this position will be able to effectively apply machine learning and data mining to different types of data collected from tasks and domains such as manufacturing, multimodal sensors, images and video, and online documents. •They will have the general ability to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements. •They will have the general ability to evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability. •The Machine Learning Technologist will have skill and ability to: collect, organize, transform, synthesize, and analyze data; summarize and present findings; develop conclusions and recommendations from appropriate data sources at the work group level. •The experienced Technologist will identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems. •The Technologist will work with customers to formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary. •They will present results to the customers and lead transition of prototype tools to them as well. Qualifications Additional Information: •A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned. Basic Qualifications: •This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee. •Experience with high level programming languages such as C, C++, C#, Java, and Python; •Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques; •Experience with applying deep learning for object recognition, scene classification, and scene segmentation; •Experience with major deep learning framework such as Caffe, CNTK, Theano, Torch, and Tensorflow •Experience with cloud computing; •Experience with GPUs; •Background in SLAM, 3D reconstruction, and motion planning Typical Education / Experience: Level 4: Technical bachelor's degree and typically 9 or more years' related work experience or a Master's degree with typically 7 or more years' or a PhD degree with typically 4 or more years' related work experience or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study.

Posted on: 2017-07-13 13:49:04 UTC

Multiple fully funded Ph.D. positions (supported via research assistantships)

Anh Nguyen's lab at Auburn University|USA

The particular research topic is flexible and will be in areas of mutual interest in Deep Learning. Topics include, but are not limited to: computer vision; generative modeling; understanding and explaining deep neural networks; improving model reliability and security; or combining deep learning and evolutionary algorithms. The lab has previously won Best Paper Awards at CVPR, GECCO, ICML Visualization workshop and Best Research Video Awards at IJCAI and AAAI. Our work has also been repeatedly featured in MIT Technology Review, Nature, Scientific American and deep learning lectures across various institutions. + Preferred qualifications: A strong mathematical background and good programming skills. If you are interested in applying, please send your inquiries or applications to anh.ng8@gmail.com. + Application instructions: http://anhnguyen.me/recruiting + Deadlines: students are to start in Fall 2017 or Spring 2018. Positions are available until filled.

Posted on: 2017-07-13 13:47:48 UTC

Sr. Deep Learning Research Scientist

Samsung Semiconductor, Inc.|San Jose, CA

Samsung Advanced Systems Lab (ASL) is a small research group focused on development of hardware and software IP for acceleration of a variety of neural network applications including speech and vision-related applications like ADAS. The IP developed by the group goes into various Samsung products including mobile handsets and tablets, as well as some new product categories. The qualified individual will be responsible for hands-on technology research and development of algorithms and software for proprietary hardware neural network engine(s), deep-learning-based systems and experimental imaging devices. This person will have Deep Learning algorithms and systems experience that may include state-of-the-art image/object recognition, localization, segmentation, image/video understanding, speech understanding, automotive driving assistance, simultaneous localization and mapping and various others. Will be experienced with algorithms for proprietary hardware neural network engine that may include experimental studies of statistical properties of deep learning processing to facilitate their implementation in hardware, associated training, various network transforms and other relevant research and development. Will be familiar with development environments that mainly include Linux, Python, C, NVIDIA GPUs and various popular deep learning tools including Caffe. IF INTERESTED: please email your resume with subject line "Deep Learning Research Scientist DSA31231 + [Your Name]". Contact email: r.levinson@ssi.samsung.com

Posted on: 2017-07-13 02:17:12 UTC

Research scientist in Deep Learning, Computer Vision and Robotics

Czech Technical University|Prague and Inria in Paris

We are looking for a research scientist in Deep Learning, Computer Vision and Robotics at the newly created Intelligent Machine Perception team (Josef Sivic, Tomas Pajdla, Francis Bach, Ivan Laptev, Jean Ponce, Vasek Hlavac) spanning Czech Technical University in Prague and Inria in Paris. The position is in Prague but includes the possibility of extended stays at Inria in Paris. We are looking for strongly motivated candidates with Phd in computer vision, machine learning or robotics and a proven track-record of publications in top conferences and journals. We offer competitive salary and work on cutting edge research with high-impact applications in autonomous driving, smart assistive robotics or augmented reality. The position includes the possibility of participating in teaching and co-advising MSc and Phd students. Follow-up tenure track openings are also available. For more details please see: http://impact.ciirc.cvut.cz Please send your CV to josef.sivic@inria.fr and pajdla@cvut.cz.

Posted on: 2017-07-11 16:57:47 UTC

Machine Learning Software Engineer

Samsung Semiconductor, Inc.|San Jose, CA

Samsung Advanced Systems Lab (ASL) is a small research group focused on development of hardware and software IP for acceleration of a variety of neural network applications including speech and vision-related applications like ADAS. The IP developed by the group goes into various Samsung products including mobile handsets and tablets, as well as some new product categories. You will develop tools to optimize networks and implement optimal mapping of various neural networks to hardware. Help identify and prototype useful hardware architect features and optimizations. The ideal candidate has a PhD, or equivalent experience, strong C++ and Python coding skills, experience with using and modifying Caffe code and/or other neural network development frameworks (i.e. Tensorflow, Keras, Theano), and familiarity with neural networks and machine learning concepts, processor architectures, hardware architecture concepts. IF INTERESTED: please email your resume with subject line "Machine Learning Software Engineer DSA31053 + [Your Name]". Contact email: r.levinson@ssi.samsung.com

Posted on: 2017-07-11 16:56:32 UTC

Computer Vision Scientist/Engineer Job

JD.COM|Santa Clara, CA

Responsibilities: You will conduct research on cutting-edge technologies of deep learning, and develop algorithms/models to solve real complex computer vision problems. You will mainly be responsible for one or more of following directions: • Research, design and implement advanced algorithms for computer vision applications. • Prototype innovative deep learning networks/models for multi-task problems, including object detection, object recognition, landmark detection, etc. • Research and develop on deep compression, optimization on mobile devices. • Research on cutting-edge technologies, such GAN, Visual QA, Image dense captioning, face landmark localization, Deep SLAM, etc. Qualifications • MS or PhD in Computer Science or related disciplines • Expertise in AI, Deep Learning, machine learning and computer vision techniques • Experience with OpenCV, Python/Matlab image processing packages • Experience with projects of visual object detection, object recognition. • Face detection/recognition and landmark localization is a big plus • Experience with the following Neural Network families: CNN, FCN, RCNN, RNN/ LSTM, GAN is highly preferred. • Multi-task deep learning, deep CNN network compression, spare transfer learning experiences is a big plus. • 2+ years of experience with one or more of the following frameworks: Caffe, MXNet, Torch, Theano, TensorFlow. • 3+ years of programming experience in C++, Python, and MATLAB • Experience with software engineering tools and linux environment (e.g., Git, CMake, CI, gdb, etc). • Knowledge of parallel computing, CUDA, OpenCL is a plus • Experience with mobile application development is a plus.

Posted on: 2017-07-10 16:53:03 UTC

Computer Vision Scientist (AR)

JD.COM|Santa Clara, CA

Responsibilities: The qualified candidate will conduct research on cutting-edge technologies of AR, and develop algorithms/models to solve real complex computer vision problems, and mainly responsible for one or more of following directions: Research, design and implement advanced algorithms for computer vision applications. Prototype innovative algorithms for different computer vision problems, including object detection, landmark detection, tracking and image stitching Research and develop on 3D processing including point cloud registration, SLAM Research on cutting-edge technologies to solve the real-life problem Qualifications: MS with 4+ years experiences or PhD with 1+ years experiences in Computer Science, Electrical Engineering or related disciplines Background: Expertise in AR, 3D processing, computer graphics and computer vision techniques Experience working with Unity 3D, OpenCV, Python/Matlab image processing packages Experience with projects of 3D point cloud registration and deformable model, machine vision based 3D sensing is a big plus Experience with projects of visual object detection, landmark localization, tracking, is a plus 3+ years of experience in C++, C#, unity3D, Python, and MATLAB Knowledge of parallel computing, web HTML5 development is a plus Experience with mobile application development, 3D modeling via 3DMAX /U3D is a plus Strong collaboration skills, a good team player

Posted on: 2017-07-10 16:52:31 UTC

Research Scientist in Computer Vision & Deep Learning

Yahoo Research|New York City

Yahoo Research NYC is looking for junior and senior level Research Scientists in Computer Vision and Deep Learning. Computer Vision at Yahoo Research tackles some of the most interesting real-world problems in image and video understanding. Powered by Yahoo's massive repository of multimedia content, we conduct research and development in a variety of areas including visual recognition, visual saliency detection, vision/language, visual aesthetics and creativity; and, we do so by applying our expertise in computer vision, machine learning, and deep learning. Our work has a direct impact on many of Yahoo's flagship products by powering core technologies such as multimedia metadata enrichment, search and recommendation, video highlight detection and summarization, and search by visual content. We will challenge your brain every day, and when you succeed you will change the lives of hundreds of millions of people, allowing them to do things they never dreamed they could do. Come join us and use your scientific background to drive Yahoo-scale innovation! We strongly encourage our team members to stay abreast of novel academic work and publish papers and/or patents when appropriate. We also release open-source projects and datasets. This is an exciting opportunity to apply your computer vision skills to the 10 terabytes of data that Yahoo captures every day. Your Day : (1) Design and carry out both fundamental and applied research in large-scale image and video understanding. (2) Work closely with engineers to develop prototypes and transfer research to new products, new processes, and/or new business areas. (3) Actively participate in the academic community and publish high-quality research. (4) Collaborate with academics and students from top universities on novel research ideas. You Must Have : (1) Ph.D. in Computer Vision, Multimedia, Deep Learning, Machine Learning, AI or a related field. (2) 5+ years of research experience in computer vision, multimedia, deep learning, machine learning, and AI methodology. (3) Publications in top-tier conferences and journals in related fields (e.g., CVPR, ECCV, ICCV, NIPS, ICML, ICLR, etc.). (4) Strong algorithmic problem solving and software development skills (C/C++, Python, Java, etc.). (5) Excellent communication & writing skills.

Posted on: 2017-07-08 09:13:02 UTC

Dynamic Vision for Actions

National University of Singapore|Singapore

The broad objective of the project is to create a vision system that can move and act in the real world in an online manner (for both indoor and outdoor scenes). One part of the project tackles the key competencies required by a vision-based autonomous system to move and function in the real-world which might contain multiple moving agents. Building on the recent progress on tracking and motion segmentation research, we will investigate the mid-level geometric interpretation in the face of multiple (possibly non-rigid or hierarchical) motions, as well as multi-object tracking. We also have to make sense of the 3D scene estimates for the robotic systems to act, for instance, in terms of some forms of scene layout navigable area, understand what are the objects and actions we see, etc. The other part of the project deals the key vision problems of labelling, assignment, clustering, and model selection encountered in the first part of this project but also in a more general setting. It aims to augment on the one hand the efficient move-making algorithms for solving clustering and assignment problems, and on the other to extend the modelling capability of MRF/CRF in labelling by “borrowing” features from the clustering and assignment formulations. The successful candidate should have a Ph.D. or equivalent degree, and he/she should have a strong background in the aforementioned areas, and in applied mathematics knowledge like large scale convex optimization and sparse representation, as well as proficiency in programming. Strong publication records in internationally recognized conferences or journals are preferred. The position is for about 2 year, and is available immediately. Salary is competitive. Please send a detailed CV with publication list, a concise description of research interests and future plans, and academic transcripts to Dr Cheong Loong Fah Department of Electrical & Computer Engineering Faculty of Engineering 4 Engineering Drive 3 Singapore 117576. Email: eleclf@nus.edu.sg. We will begin reviewing applications for the position immediately. Contact email:eleclf@nus.edu.sg

Posted on: 2017-07-08 06:40:17 UTC

Internship @Rakuten Institute of Technology (RIT)

Rakuten Institute of Technology (RIT) |Tokyo, Japan

Rakuten Institute of Technology is the R&D lab of Rakuten, the prime Japanese Internet services company. We are active in many areas, including e-commerce, travel, finance, media, and, not least, professional sports. Join us for a 3-month internship to work with a group of friendly researchers in the areas of computer vision and machine learning. You will be paired with a mentor for the project (company language is English), who will closely guide you for the duration of the internship. In 2017/18 we have a number of exciting projects in these areas: Visual SLAM, AR, HCI, Image and video recognition, Computer graphics and visualization, Data analysis and machine learning. Requirements: PhD student in Computer Vision/Machine Learning/Computer Graphics, enjoy coding, fluent in at least one language, e.g. C++ or Python, expertise in one or more of the areas of interest. Beneficial: International publication record, track record of projects / code contributions. Internships are paid and travel and accommodation support will be provided for candidates from overseas. Free breakfast, lunch and dinners are provided at the office. About RIT: http://rit.rakuten.co.jp/ About Crimson House: http://global.rakuten.com/corp/about/crimsonhouse/ How to apply: https://jobs.rakuten.careers/careersection/rakuten_ext_cs/jobdetail.ftl?job=00001319

Posted on: 2017-07-07 09:52:28 UTC

Researcher @Rakuten Institute of Technology (RIT)

Rakuten Institute of Technology (RIT) |Tokyo, Japan

Rakuten Institute of Technology is the R&D lab of Rakuten, the prime Japanese Internet services company. We are active in many areas, including e-commerce, travel, finance, media, and, not least, professional sports. Join a growing research team in the areas of computer vision, machine learning and HCI. Many of our research outputs have been transferred directly to business units and benefit customers world-wide. As a member of the team you will work towards state-of-the-art solutions that can be practically deployed in the business. Academic publications are encouraged. Requirements: You have (or will soon complete) a PhD in computer vision, machine learning, or computer graphics. You enjoy solving problems theoretically as well as building practical solutions. You can code and are fluent in at least one programming language, e.g. C++ or Python, and have expertise in one or more of the areas of interest. Beneficial: You have a strong track record of projects, code contributions, and international publications. Prior relevant work experience is viewed favorably. About RIT: http://rit.rakuten.co.jp/ About Crimson House: http://global.rakuten.com/corp/about/crimsonhouse/ Rakuten Crimson House is located in Futako-Tamagawa, 10 minutes from Shibuya by train, and a popular area in west Tokyo next to the Tama River. Breakfast, lunch and dinner are offered free of charge at the office. The company language is English. How to apply: https://jobs.rakuten.careers/careersection/rakuten_ext_cs/jobdetail.ftl?job=00000217 There is currently no closing date for applications.

Posted on: 2017-07-07 09:51:45 UTC

Lead Research Engineer at Here Technologies

HERE Technologies|HERE Technologies

HERE Technologies, the Open Location Platform company, enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, we empower our customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. To learn more about HERE, including our new generation of cloud-based location platform services, visit http://360.here.com. HERE is seeking a talented Lead Research Engineer to develop a global highly accurate and precise 3-d map for autonomous driving by probabilistically aggregating crowd-sourced multi-sensor data from millions of cars in near real-time. This technology spans over multiple disciplines such as large scale graph optimization, computer vision, machine learning and scalable AWS solutions. In this role the candidate will develop large-scale graph optimization by modeling the uncertainty in the data from different sensors and different fidelities. Contact vishal.jain@here.com Key Responsibilities: Develop technology for estimating the geometry and attributes for map objects from multi-sensor data. Develop models for the uncertainty of sensor measurements obtained from moving vehicles. Maintain an up-to date technology developments across industry and research community. Implement novel technologies as a part of an agile team. Qualifications: PhD or Masters in Computer Science, Applied Mathematics, Electrical Engineering or any related field with in-depth understanding of topics in Probabilistic Graphical Models and/or Computer Vision and/or Machine Learning Track record of contribution to research communities and/or efforts, including publishing papers Intermediate C++ and python software development skills Creative, resourceful, and innovative problem solver Desired Skills: Relevant work experience, including 3+ years of full time industry experience or as a researcher in university Strong publication record in industry and academia Experience with Visual SLAM, Ceres solver, Graph optimization libraries Proficiency with Linux and scripting languages (Shell, Matlab, Perl)

Posted on: 2017-07-07 02:14:58 UTC

Technical partner in SurfingTech

SurfingTech |Beijing, China

Surfing Technology was accessing millions usd financed and established in early 2017 in Beijing. We endeavor to develop high-quality AI training data set in scope of autonomous vehicle, facial recognition, automatic speech recognition (ASR) and TTS. Now we are looking for a technical partner who has experiences in algorithm or data processing of computer vision or machine learning to join us! Let’s surfing in the world of AI!

Posted on: 2017-07-06 17:07:55 UTC

Post-doctoral researcher at Tampere University of Technology in Finland

Tampere University of Technology|Finland

We are seeking a post-doctoral researcher to collaborate with Prof. Esa Rahtu (http://esa.rahtu.fi) in the Computer Vision Group at the Department of Signal Processing at Tampere University of Technology in Finland. We are a growing research group working broadly in the field of computer vision. We are pursuing research problems in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and 3D scene reconstruction), in semantic computer vision (including topics such as image based localization, object detection and recognition, and deep learning), and robot vision (including topics such as human robot interaction). An ideal candidate should possess (or be near completion of) a relevant PhD/DPhil in computer vision or machine learning, together with a solid mathematical background, good programming skills and a strong academic publication record. The starting date is negotiable. More information at http://esa.rahtu.fi/Vacancies/index_pdra.html Application Instructions If you are interested in joining our group, please submit your complete application via email to Prof. Esa Rahtu (esa.rahtu@tut.fi) prefixing the email subject with the string [PDR Position]. The closing date of the call is 31st Aug 2017. Applications should include the following (combined into one pdf): - Motivation letter - Curriculum vitae - Brief research statement - Transcript of doctoral studies - Contact details of two senior academics willing to give more information The review of applications will be done on a rolling basis, so early submissions are strongly encouraged. For informal queries contact Prof. Esa Rahtu (esa.rahtu@tut.fi , http://esa.rahtu.fi)

Posted on: 2017-07-06 17:05:44 UTC

Fully funded PhD student positions

Tampere University of Technology|Finland

Fully funded PhD student positions are available in the Computer Vision Group at the Department of Signal Processing at Tampere University of Technology in Finland. We are a growing research group working broadly in the field of computer vision. We are pursuing research problems in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and 3D scene reconstruction), in semantic computer vision (including topics such as image based localization, object detection and recognition, and deep learning), and robot vision (including topics such as human robot interaction). We are looking for new PhD candidates to our group. Students with good programming skills and strong background in mathematics are especially encouraged to apply. The specific research topics will be chosen together with the students to match their personal interests. The work will be co-supervised by Prof. Esa Rahtu (http://esa.rahtu.fi) from Tampere University of Technology and Prof. Juho Kannala (https://users.aalto.fi/~kannalj1/) from Aalto University. An ideal candidate should have a Master's degree in computer science, signal processing, electrical engineering, physics, mathematics, or equivalent. Also those who are expected to finish their Master's degree by summer 2017 may apply. Previous research experience and publications are beneficial but not required. Good programming skills (e.g. Matlab or C++) and fluency in spoken and written English are required. The starting date is negotiable. More information at http://esa.rahtu.fi/Vacancies/index_phd.html Application Instructions If you are interested in joining our group, please submit your complete application via email to Prof. Esa Rahtu (esa.rahtu@tut.fi) prefixing the email subject with the string [PhD Positions]. The closing date of the call is 31st Aug 2017. Applications should include the following (combined into one pdf): - Motivation letter - Curriculum vitae - School and university score records - Contact details or support letter from one to three academic referees The review of applications will be done on a rolling basis, so early submissions are strongly encouraged. For informal queries contact Prof. Esa Rahtu (esa.rahtu@tut.fi , http://esa.rahtu.fi)

Posted on: 2017-07-06 17:04:39 UTC

3D Computer Vision Research Engineer (at all levels)

Samsung Research America|Dallas, TX

Samsung MPI Lab is currently looking to fill multiple positions in the Mobile Computer Vision team. As part of the team, you will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms ability to understand visual environments and interact with users. By creatively applying computer vision and machine (deep) learning technologies, you will contribute to taking the user experiences on Samsung Mobile products to the next level. The projects at MPI Lab have direct impact on future Samsung products reaching millions of users worldwide. <<Responsibilities>>: -Identify areas of differentiation and innovation around mobile platform by leveraging new and existing vision and machine (deep) learning algorithms; -Prototype algorithms and system applications in Python, Matlab, C/C++. <<Qualifications>>: Hands-on experience in one or more of the following areas: 3D vision, SLAM, AR/VR, Computer Graphics, object detection/recognition/tracking/segmentation. <<Interested candidates>> please email your resume with subject line "3D Computer Vision Research Engineer CVPR17 + [Your Name]". Contact email: David.Liu@samsung.com

Posted on: 2017-07-06 07:16:26 UTC

PhD candidate in yield prediction from satellite images with deep learning

ETH Zurich|Switzerland

The Photogrammetry and Remote Sensing group (Prof. Konrad Schindler) at ETH Zurich is seeking applications for candidates with an interest in performing cutting edge research, strong motivation, and a de-sire to learn. An ideal candidate will have an excellent degree (M.Sc., M.Eng. or equivalent) in Computer Science, Robotics, Geodesy/Geomatics, or a related field (e.g. Electrical Engineering, Applied Mathematics), strong mathematical understanding, and programming experience, preferably in C++ and/or Matlab. The successful candidate will work on a project in cooperation with an industrial partner, aiming to develop a (deep) machine learning approach to predict yield of crops in the tropics for market analysis. Prior experience in machine learning, computer vision and remote sensing is a plus, fluency in English is required (both written and spoken). We offer an exciting and stimulating environment to study and work in: ETH has several internationally recognized research groups dedicated to computer vision and image metrology, and we also collaborate with several other institutions and companies in the fields of computer vision, machine learning, 3D metrology and earth observation, in Switzerland and abroad. For additional information about the position and the tasks, please contact Dr. Jan Dirk Wegner, jan.wegner@geod.baug.ethz.ch. If you are interested in joining our group, please submit your complete application (motivation letter, curriculum vitae, school and university score records, contact details of at least two academic referees) online through the ETH job portal www.jobs.ethz.ch. The deadline for applications is the 30th of September 2017. Selection will start immediately, so early submissions are encouraged. Link: www.jobs.ethz.ch Contact email: jan.wegner@geod.baug.ethz.ch

Posted on: 2017-07-06 07:15:31 UTC

PhD candidate in person and object recognition for mobile robots

ETH Zurich|Switzerland

The Photogrammetry and Remote Sensing group (Prof. Konrad Schindler) at ETH Zurich is seeking applications for candidates with an interest in performing cutting edge research, strong motivation, and a desire to learn. An ideal candidate will have an excellent degree (M.Sc., M.Eng. or equivalent) in Computer Science, Robotics, Geodesy/Geomatics, or a related field (e.g. Electrical Engineering, Applied Mathematics), strong mathematical understanding, and programming experience, preferably in C++ and/or Matlab. The successful candidate will work on a project in cooperation with an industrial partner, aiming to develop 3D visual object detection based on conventional cameras, range sensors and thermal cameras. Prior experience in image processing, computer vision and photogrammetry is a plus, fluency in English is required (both written and spoken). We offer an exciting and stimulating environment to study and work in: ETH has several internationally recognized research groups dedicated to computer vision and image metrology, and we also collaborate with several other institutions and companies in the fields of computer vision, 3D metrology and earth observation, in Switzerland and abroad. For additional information about the position and the tasks, please contact Prof. Konrad Schindler, schindler@geod.baug.ethz.ch. If you are interested in joining our group, please submit your complete application (motivation letter, curriculum vitae, school and university score records, contact details of at least two academic referees) online through the ETH job portal www.jobs.ethz.ch. The deadline for applications is the 30th of September 2017. Selection will start immediately, so early submissions are encouraged. Link: www.jobs.ethz.ch Contact email: schindler@geod.baug.ethz.ch

Posted on: 2017-07-06 07:15:02 UTC

Computer Vision Eng. / Research Associate

Qualcomm Inc.|San Diego / Santa Clara, CA

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for its Computer Vision team in San Diego & Santa Clara, CA. The team develops new algorithms, architectures and systems for computer vision functions running in an embedded systems environment targeted primarily to devices operating in mobile and IOT environments. We are seeking candidates with strong knowledge and hands-on experience in computer vision technologies including 2D/3D feature detection, tracking and registration, Visual inertial odometry, SLAM, Object detection and tracking, 2D/3D reconstruction, Recognition experience in practical machine learning along with ability to map computer vision algorithms to CPU, GPU, DSP, FPGA, Hardware and investigate hardware/software tradeoffs and define hardware accelerators for computer vision tasks. Experience in developing real-time computer vision systems in the context of embedded systems is desirable. Working knowledge of problem solving of computer vision tasks using latest deep learning techniques is also a plus for this position. Candidates at all levels of experience will be considered. We have few focused roles in this skill category :  Research Associate – Deep Learning / Computer Vision – 12 months residency program – work with research leads to formulate research project(s) and/or unique application(s) of the technology, Conduct and publish research in different forums and Implement algorithms  Sr. Engineer working in Computer Vision & Image Processing algorithms, software implementation and hardware acceleration.  Systems Architect in computer vision will work with other leads on design and technology development activities for computer vision systems including architecture development, algorithm profiling on target platforms, hardware/software partitioning of algorithms  PHD Degree preferred or a Minimum of MS with some relevant industry experience required  Algorithm and implementation  Systems level architecture for hardware accelerators targeted to computer vision tasks  Computer Vision  Image and video processing  Digital signal processing  Software design and development in embedded system  Hardware design and implementation in ASIC  Neural Networks and matching learning  C, C++ and assembly languages, Strong scripting language skills (PERL, Python etc)  Digital camera system and depth aware camera  Sensors in mobile devices  VLSI circuit design and FPGA implementation  Computer architecture and real-time operating system Contact email : ssangar@qualcomm.com

Posted on: 2017-07-06 03:51:18 UTC

Software developers – Computer Vision / Machine Learning

Matrox|Montreal, Canada

Based in Montreal, Quebec (Canada), Matrox's Imaging division provides software and hardware solutions to original equipment manufacturers (OEMs) and to integrators of machine vision systems. The software group develops sophisticated tools for the acquisition, the processing and the analysis of images. The algorithms in the Matrox Imaging Library (MIL) are renowned worldwide for their rapidity, robustness and reliability. They can locate objects, extract and precisely measure their features, identify and track parts using codes and string readers (OCR), perform 3D reconstruction and analysis,... The Research and Innovation department is seeking creative and highly motivated software developers with expertise in computer vision, in image processing, and in machine learning. Visit our web site for more information (www.matrox.com)! Submit your resume online (https://www.matrox.com/hr/en/careers/) or by email at cv@matrox.com.

Posted on: 2017-07-06 03:49:41 UTC

Postdoctoral Researcher Deep Learning of Activities in Video

University of Amsterdam|the Netherlands

The primary goal of the postdoctoral project is to perform cutting edge research in computer vision and deep learning to automatically detect activities in a multi-camera streaming video environment. Activities will be enriched by person and object detection to arrive at precise descriptions. Relevant research questions are: How can we automatically detect activities, as well as persons and objects, in cluttered scenes? What are the underlying mechanisms for spatiotemporal reasoning in video that improve activity detection? How can we enable activity detection and scene understanding from overlapping and non-overlapping camera viewpoints? The work is executed as part of the IARPA DIVA research program, together with SRI International, the University of Michigan and the University of Washington. The position is based at the University of Amsterdam and we expect that candidates are willing to attend yearly project meetings in the USA. The postdoctoral is also expected to collaborate intensely with a team of three PhD students and a software engineer that are being hired for the project.

Posted on: 2017-07-02 14:57:31 UTC

3 PhD candidates deep learning of activities in video

University of Amsterdam|the Netherlands

The primary goal of the three PhD projects is to perform cutting edge research in computer vision and deep learning to automatically detect activities in a multi-camera streaming video environment. Activities will be enriched by person and object detection to arrive at precise descriptions. Relevant research questions are: How can we automatically detect activities, as well as persons and objects, in cluttered scenes? What are the underlying mechanisms for spatiotemporal reasoning in video that improve activity detection? How can we enable activity detection and scene understanding from overlapping and non-overlapping camera viewpoints? The work is executed as part of the IARPA DIVA research program, together with SRI International, the University of Michigan and the University of Washington. The positions are based at the University of Amsterdam and we expect that candidates are willing to attend yearly project meetings in the USA.

Posted on: 2017-07-02 14:36:35 UTC

Software Engineer - Computer Vision/Machine Learning for Object Recognition

Uber|Boulder, Colorado

About Uber: Uber is a technology company that is changing the way the world thinks about transportation. We are building technology people use everyday. Whether it's heading home from work, getting a meal delivered from a favorite restaurant, or a way to earn extra income, Uber is becoming part of the fabric of daily life. We're making cities safer, smarter, and more connected. And we're doing it at a global scale- energizing local economies and bringing opportunity to millions of people around the world. Uber's positive impact is tangible in the communities we operate in, and that drives us to keep moving forward. About the Team Uber, Advanced Technologies, Engineering - Imagery is the Louisville, CO division of the Uber Engineering Team: a high-performance culture marked by boldness and achievement. Our work is primarily in the areas of mapping and sensing. Our team is comprised of world-class developers and engineers with decades of experience and we're looking for exceptional engineers who can work faster and smarter without sacrificing technical excellence. We are engaged and excited about completely transforming the transportation industry across the world. What we're looking for Core Skills. We're looking for outstanding, capable software developers with a range of skills. In particular, experience with Python, C++, Linux, Android and related technologies are a plus. Fast learner. We're looking for software engineers who thrive on applying their knowledge, learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the rapid pace of a rapidly evolving research, development, and testing environment. You have advanced knowledge in software development (e.g. Python or C/C++) and knowledge of in the fields of computer vision and/or machine learning. Dynamic. You think a working proof-of-concept is the best way to make a point. You strive on proving that speed and quality are not conflicting; that you can achieve both at the same time. Versatility. In addition to having an intimate knowledge of core engineering fields, you understand how all the pieces fit together into integrated systems, and how they impact performance. Passion. You feel ownership over everything you ship; you'd never call code or design "released" until you're satisfied it's correct. You pride yourself on efficient monitoring, thorough documentation, and proper test coverage. A team player. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement. Design and business acumen. You understand the bigger picture of how your technical contributions will impact the viability of future products. Whether you're working on a software library used by other developers, building a new datacenter abstraction layer, or sensor to be retrofitted on a test vehicle, the other members of the team can depend on the quality of your work to rapidly advance our goals. Specific skills a plus: deep learning and convolutional neural networks object recognition and object detection big data experience analyzing huge amounts of imagery (hadoop, spark, etc.) Be sure to check out the Uber Engineering Blog to learn more about the team. Perks Employees are given Uber credits every month. The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally. Smart, engaged co-workers. Benefits 401(k) plan, gym reimbursement, nine paid company holidays. Full medical/dental/vision package to fit your needs. Unlimited vacation policy; take time when you need it. Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.

Posted on: 2017-06-30 02:19:14 UTC

Software Engineer- SLAM/Localization Expert

Uber|Boulder, Colorado

About Uber Uber is a technology company that is changing the way the world thinks about transportation. We are building technology people use everyday. Whether it's heading home from work, getting a meal delivered from a favorite restaurant, or a way to earn extra income, Uber is becoming part of the fabric of daily life. We're making cities safer, smarter, and more connected. And we're doing it at a global scale-energizing local economies and bringing opportunity to millions of people around the world. Uber's positive impact is tangible in the communities we operate in, and that drives us to keep moving forward. About the Team Uber, Advanced Technologies, Engineering - Imagery is the Louisville, CO division of the Uber Engineering Team: a high-performance culture marked by boldness and achievement. Our work is primarily in the areas of mapping and sensing. Our team is comprised of world-class developers and engineers with decades of experience and we're looking for exceptional engineers who can work faster and smarter without sacrificing technical excellence. We are engaged and excited about completely transforming the transportation industry across the world. What we're looking for Core Skills. We're looking for outstanding, capable software developers with a range of skills. In particular, experience with Python, C++, Linux, Android and related technologies are a plus. Fast learner. We're looking for software engineers who thrive on applying their knowledge, learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the rapid pace of a rapidly evolving research, development, and testing environment. You have advanced knowledge in software development (e.g. Python or C/C++) and knowledge of in the fields of computer vision and/or machine learning. Particular consideration given to those with experience in the following areas: Vision based SLAM Monocular or stereo based visual odometry Large scale bundle adjust optimizations Dynamic. You think a working proof-of-concept is the best way to make a point. You strive on proving that speed and quality are not conflicting; that you can achieve both at the same time. Versatility. In addition to having an intimate knowledge of core engineering fields, you understand how all the pieces fit together into integrated systems, and how they impact performance. Passion. You feel ownership over everything you ship; you'd never call code or design "released" until you're satisfied it's correct. You pride yourself on efficient monitoring, thorough documentation, and proper test coverage. A team player. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement. Design and business acumen. You understand the bigger picture of how your technical contributions will impact the viability of future products. Whether you're working on a software library used by other developers, building a new datacenter abstraction layer, or sensor to be retrofitted on a test vehicle, the other members of the team can depend on the quality of your work to rapidly advance our goals. Bonus Skills If you happen to have skills in the following areas, we can use these as well algorithm development autonomous vehicle & general robotics classification & prediction Amazon Web Services distributed and large scale computing game programming metrics & data analysis, etc. Experience in vision based SLAM, monocular or stereo based visual odometry, or bundle adjust approaches preferred We're bringing Uber to every major city in the world. We need your skills and passion to help make it happen! Perks Employees are given Uber credits every month. The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally. Smart, engaged co-workers. Benefits 401(k) plan, gym reimbursement, nine paid company holidays. Full medical/dental/vision package to fit your needs. Unlimited vacation policy; take time when you need it. Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.

Posted on: 2017-06-30 02:18:30 UTC

Research Scientist/Software Engineer, Machine Learning & Intelligence

Google|Mountain View, San Francisco, New York, Tel Aviv, Zurich, Beijing

Research in machine intelligence has already impacted user-facing services across Google including Search, Maps and Google Photos. Google Research teams are actively pursuing the next generation of intelligent systems for application to even more Google products. To achieve this, we’re working on projects that utilize the latest techniques in Machine Learning, including deep learning, applied to computer vision and other areas of machine perception. We’re looking for talented Research Scientists and Software Engineers that have applied experience in these fields to join us. At Google, you will join other Research Scientists and Software Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, you will help define the the state of the art in machine perception, tackling challenges of understanding images, sounds, music and video. In doing so, you will stay connected to your research roots as an active contributor to the wider research community by partnering with universities, publishing and attending leading research conferences. There is always more information out there, and research teams across Google have a never-ending quest to find it and make it accessible. By constantly pursuing the most difficult challenges in the field, we not only refine our signature search engine, but also develop cutting-edge offerings like content-based search in Google Photos and Image Search, and provide recommendation systems that understand music and YouTube videos. Our research provides users around the world with great results every day, but at Google, great just isn't good enough. We're just getting started.

Posted on: 2017-06-30 02:17:04 UTC

Computer Vision/Machine Learning Research Intern

Mapillary|remote job

We are looking for a PhD student to join our Research team at Mapillary. You will be working on basic research projects in the field of object recognition and/or 3D modelling. Together with a team of motivated researchers your goal is to develop and prototype proof-of-concept solutions for challenging machine vision problems, and we aim for publishing the results at high-impact conferences. Requirements Ideally, you already completed 2-3 years of your PhD studies and have experience in publishing your works in any of CVPR, ICCV, ECCV, NIPS, ICML or PAMI, have been working on deep learning for object recognition, 3D reconstruction, graph-based learning or related fields. The internship period is 3 months with the possibility to extend if needed. When you apply, please include your CV and a short description about your previous works during your PhD time (e.g. links to papers or your Github account). Become part of our mission for helping others to visualize and understand the world!

Posted on: 2017-06-29 15:14:38 UTC

QA and Data Analyst Computer Vision

Mapillary|remote job

We have big plans for our platform and are focused and passionate with a long term goal of helping others to visualize and understand the world. Your work will be mainly in the core of our platform, pushing our groundbreaking AI technology to the next level. We are looking for a QA/Data Analyst with an eye for detail and excellent communication skills. You have a passion for high quality data requirements and accuracy. You’ll be working closely with both, the computer vision and research teams. You’ll also be leading efforts in streamlining the data import process for external datasets. Requirements Responsibilities: Manage the human annotation flow for various image annotations including segmentation, detection, 3D bounding boxes. You will estimate customer's data needs, setup image selection and labeling guidelines, evaluate and select and build annotation tools, provide feedback to annotators, monitor progress, and perform quality assurance. Setup QA process and benchmarks for machine-generated data from images and provide metrics for accuracy e.g. recall/precision Setup import process for customers’ image or video data and ensure all the required metadata is parsed and stored Skills: Proficient in scripting, including: Writing scripts for the QA process, search for specific patterns in files, visualize data, etc. Writing scripts to parse metadata from images and videos in EXIF or any related external database/files e.g. SQLites, GPX. Strong communication and writing skills Knowledge about statistical methods and error measures like precision and recall Experience in introducing quality assurance processes When you apply, tell us why Mapillary is interesting for you and what would excite you in working with our product.

Posted on: 2017-06-29 15:03:11 UTC

Computer Vision Researcher

Toshiba Research Europe|Cambridge, United Kingdom

The Computer Vision Group of Toshiba Research Europe is looking for an exceptional candidate to join our team of researchers. We seek a creative mind who can significantly advance the state-of-the-art in computer vision. Your research ideas have a solid theoretical foundation, and you are able to demonstrate the practical value through prototype implementations. Publishing at major conferences and in top journals is highly encouraged, and you will be able to actively contribute to our collaborations with Oxbridge Universities and the Toshiba Corporate R&D Center in Japan.

Posted on: 2017-06-29 14:59:51 UTC

Computer Vision Algorithms Lead

Facebook|Menlo Park, CA

Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization. Building 8 brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories and that advance Facebook's mission of connecting the world. The B8 team will apply DARPA-style breakthrough development at the intersection of ambitious science and product development. It will operate on aggressive, fixed timelines, with extensive use of partnerships in universities, small and large businesses. The Technical Project Team has the responsibility for scoping the effort from inception to product, communicating it to others, creating the partnerships necessary to achieve targeted results, and hitting key milestones. Building 8 seeks a Computer Vision Algorithms Lead for an exciting project involving advanced optics, image and audio processing, and computer vision/machine learning. The successful candidate will work closely with one of our Technical Project Leads to do a requirements analysis, develop algorithm proposals, to solve a number of challenging problems in 3D scene understanding and inverse rendering. Responsibilities · Collaborate with internal team members, external partners from academia and industry to develop unique problem solutions. · Translate ideas into and concrete algorithms, and implementations. · Develop proof of concept prototypes which establish the overall system performance. Requirements · Ph.D. degree or equivalent combination of education and experience in Computer. Vision, Image Processing or Machine Learning. · Author on one or more papers in ICCV, CVPR, or Siggraph · Experience in the application of Machine Learning and particularly Deep Learning to 3D computer vision. · Demonstrated ability to work effectively across diverse teams from industry and academia. · Experience with algorithms using RGBD data.

Posted on: 2017-06-28 16:05:40 UTC

Computer Vision Software Developer

Kitware|Clifton Park, NY or Carrboro, NC

Kitware’s mission is to develop scientific computing research and open-source software that makes a difference in the global scientific community, national security, and the public sector. We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs, as well as commercial efforts with leading technology companies. By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others. Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Researchers and developers also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work. To learn more, visit www.kitware.com and choose Careers.

Posted on: 2017-06-28 04:26:26 UTC

Computer Vision Researcher

Kitware|Clifton Park, NY or Carrboro, NC

Posted on: 2017-06-28 04:25:23 UTC

3D Computer Vision Researcher

Kitware|Clifton Park, NY or Carrboro, NC

Posted on: 2017-06-28 04:24:29 UTC

Independent Research Group Leaders in AI

Max Planck Institute for Intelligent Systems|Tuebingen, Germany

The Max Planck Institute for Intelligent Systems, Stuttgart-Tübingen, Germany, the University of Stuttgart, and the University of Tübingen invite applications for positions of up to 9 Independent Research Group Leaders in the Cyber Valley Initiative. Cyber Valley is a new center for AI research, bringing together partners from science and industry to create a world-leading hub for research in intelligent systems and to establish an ecosystem for startups in the field of artificial intelligence. Successful candidates should have an outstanding international early-career track record in AI research. Each of these research-focused positions will lead a new Research Group located either at the Max Planck Institute for Intelligent Systems, at the University of Stuttgart, or at the University of Tübingen as part of the Cyber Valley initiative Baden-Württemberg. At Max Planck, the group leader positions are at W2 level (roughly equivalent to assistant/associate professor level). The successful applicants are provided considerable funds for personnel, equipment and running costs that enable the group leaders to flexibly engage in their independent research agenda. The Max Planck Research Groups are limited to five years, but may be extended. The Max Planck Society, the University of Stuttgart, and the University of Tübingen are equal opportunity employers and strive for gender diversity. We welcome applications from all backgrounds. Good, convenient, and affordable childcare options are available. We are committed to increasing the number of individuals with disabilities in our workforce and therefore encourage applications from such qualified individuals. The closing date for applications is June 30, 2017 (but email black@tue.mpg.de if you are going to be late). For full information about the positions and process see: http://cyber-valley.de/en/jobs/9-independent-research-group-leaders-in-the-cyber-valley-initiative

Posted on: 2017-06-27 02:51:29 UTC

Postdoc in Medical Image Processing

Duke University|Durham, NC

Immediate opening in the Duke University Biomedical Engineering Department for a Postdoctoral Research Associate interested in interdisciplinary applications of image analysis and computer vision (especially Deep Learning and Super-resolution) with emphasis on applications in medical imaging (especially adaptive optics ophthalmic imaging and optical coherence tomography). The postdoc will be supervised by Prof. Sina Farsiu ( http://people.duke.edu/~sf59/ ). The candidate must have a demonstrated strong background in image processing as evidenced by publication of papers in high-impact peer-reviewed journals/conference proceedings. Programming skills in MATLAB are required. GPU, Python , C++, or mobile app programming experience is a plus but not mandatory. PhD in EE, BME, or CS. Projects can be chosen based on the interests and background of the individual candidate. The position will remain open until filled. Interested candidates should send a CV in PDF format and (if available) a link to Google Scholar webpage to Dr. Farsiu. Dr. Farsiu will be attending CVPR and will be happy to meet potential applicants during the conference. Email sina.farsiu@duke.edu .

Posted on: 2017-06-26 03:53:33 UTC

Deep Learning in Medical Imaging Research Positions

Boston Children's Hospital, Harvard Medical School|Boston, Massachusetts, USA

The Computational Radiology Laboratory (CRL) at Boston Children’s Hospital is seeking postdoctoral research fellows, research interns, and graduate students, to develop image processing and machine learning methods for medical imaging in multiple applications including MRI of brain development. Salary and level is commensurate with background and experience. About: CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations, and technology, with several top-rank universities, top-rank hospitals, and medical research centers, as well as bioinformatics and biotechnology companies in the area. Requirements: PhD or MS in computer science, electrical or biomedical engineering (signal processing), medical physics, or a related field with a research focus on deep learning, machine learning, computer vision, biomedical image processing/medical image computing, and/or magnetic resonance imaging, extensive experience in programming with C++ and Python, demonstrated record of high-quality publications in the field.

Posted on: 2017-06-25 10:09:01 UTC

Computer Vision Research Software Engineer

ANU|Canberra / ACT, Australia

Job no: 516867 Work type: Fixed Term Location: Canberra / ACT, Australia. Classification: ANU Officer Grade 5/6 (Research) Salary package: $66,904 – $79,230 per annum plus xx% superannuation (ANU 5/6) Term: Fixed Term 18 months, Full Time Position overview The ANU College of Engineering and Computer Science in conjunction with the Australian Centre of Excellence of Robotic Vision (ACRV) are seeking a Research Assistant (Software Engineer). The position will involve primary development and management/maintenance of a range of software and embedded real-time computing projects in the field of computer vision. The Research Assistant will be expected to work in a team environment within the local ACRV node, as well as across all nodes of the Australian Centre of Robotic Vision. The role will also involve liaison with suppliers, management of consumables and services and supervision of research assistants. The ACRV is a Government funded multi-institutional major research program. The Centre is aimed to develop the underlying science and technologies that will enable robots to navigate in unknown environment using the sense of vision, to perform useful tasks in the complex, unstructured and dynamically changing environments. The ANU College of Engineering and Computer Science (CECS) is one of the premier engineering and computer science research institutions in the world. Comprising the Research School of Computer Science and the Research School of Engineering, both are recognised as research leaders in their respective areas continuing the tradition of excellence in research and research-led education. CECS collaborates on research projects with government departments (federal and state) and multinational corporations, helping to accelerate research and development programs and to introduce new technologies to the marketplace. CECS offers a wide range of coursework programs at both the undergraduate and graduate level, and also supervises students for higher degrees by research. We offer undergraduate degrees in engineering, information technology and computer science along with masters and doctoral postgraduate programs. Enquires: Dr Viorela Ila; email: Viorela.Ila@anu.edu.au ; phone +61 2 612 5 3991. PS: We will also soon open three new full-time fixed term (3.5 year) postdoctoral research fellow positions (to be advertised in August 2017), in the area of computer vision, deep learning, and mobile robot navigation (autonomous driving e.g.) for ANU and ACRV. Please visit ANU website in August, or contact Prof. Dr. Hongdong Li @ANU.

Posted on: 2017-06-22 12:39:15 UTC

Postdoctoral Fellow in Computer Vision

Ryerson University|Toronto, ON

The Ryerson Multimedia Research Laboratory at Ryerson University in Toronto, Canada is seeking a highly motivated and creative postdoctoral candidate to engage in innovative research in augmented reality, with primary focus on creating novel vision-based tracking technology. The goal of the position is to collaborate with a team of researchers (PhD, Master’s students and Research Assistants) to develop a novel cloud-based augmented reality framework which can enable seamless AR experience on consumer mobile devices. The position will be for one year, renewable for a second year. The starting date is flexible, but would preferably begin on September 1, 2017. The salary range is $35,000 to $45,000 CAD per annum plus benefits, and will be determined by the experience and qualifications of the candidate. The postdoctoral fellow will be expected to collaborate actively with all team members. These responsibilities include, but are not limited to: 1) Do extensive literature review on augmented reality, especially the cloud component of AR, 2) develop prototypes of research ideas/guide other team members in prototype development, 3) participate in research paper writing, publication, and presentations at different venues. The applicant must have: 1) A doctorate in Computer Science/ Electrical and Computer Engineering/ related field, 2) strong computer vision and/or cloud computing background, 3) hands-on experience with computer vision tools and techniques, especially OpenCV, 4) experience with cloud-based prototype development is an asset, 5) programming skills (C++, MATLAB, Python preferred). Candidates should submit a cover letter, an academic CV, and 2 relevant publication samples electronically to Dr. Naimul Khan at n77kan@ryerson.ca. Review of applications will begin on July 1, 2017 and continue until the position is filled.

Posted on: 2017-06-22 05:39:08 UTC

PARC | Computer Vision Software Developer

PARC|California, USA

The Interactive Analytics Lab at PARC is seeking a software developer to build and maintain a software platform to support, demonstrate and deploy computer vision and artificial intelligence technologies. The candidate will work closely with senior researchers to realize novel imaging and computer vision concepts and algorithms in the form of software prototypes, and eventually convert these into deployable solutions. The ideal candidate excels in a highly collaborative and dynamic R&D environment, demonstrates a strong ability to conceive and develop both at the module and architectural level, and is equally comfortable with early research prototyping as with product execution. Responsibilities: (i) Collaborate with computer vision researchers to implement algorithms as demonstrable software prototypes in a variety of form factors, including the cloud, desktop, mobile, and wearable devices; (ii) Convert research prototypes into robust deployable software required by PARC’s clients, including extensive testing, validation, and timely execution; (iii) Develop and maintain a rich extensible software platform, integrating in-house and third-party algorithms to support a broad spectrum of computer vision research, development, and deployment. Requirements: (i) BS or MS in Computer Science, Computer Engineering, Software Engineering, or related fields; (ii) Extensive programming experience in C, C++, Java, and Android mobile application development; (iii) Familiarity with computer vision, and machine learning. Experience with Python and MATLAB is a plus, as is experience with developing on VR/AR (Unity) and cloud-based platforms (Docker/AWS). Please contact Raja Bala (raja.bala@parc.com) or Matthew Shreve (matthew.shreve@parc.com) for more information. To Apply: www.parc.com/about/careers/ → ‘Software Research and Engineering’ → ‘Computer Vision Developer’

Posted on: 2017-06-22 03:06:26 UTC

PARC | Computer Vision Researcher

PARC|California, USA

PARC’s Interaction and Analytics Lab is seeking a research scientist with expertise in computer vision and image/video analytics to join an interdisciplinary team of engineers developing innovative applications in a variety of domains. Examples of current applications including health and beauty, machine inspection and maintenance, field service assistance, and large scale video action mining. This is an applied research position: we are seeking candidates interested in delivering innovations and results that will make real impact in the market. The ideal candidate approaches computer vision problems from a systems perspective, and extracts novel insights at the intersection of computer vision and related areas such as computational imaging, machine learning, artificial intelligence, augmented reality, and hyperspectral imaging. S/he is a self-starter who will engage effectively with partners in commercial, academic, and government sectors to define and refine research directions, and to take ideas from the drawing board to prototype deployment. S/he also demonstrates a track record and interest to publish research in prestigious scholarly forums. Responsibilities: (i) Lead and participate in R&D efforts to develop compelling computer vision applications with high market impact; (ii) Work with other researchers and developers to turn novel concepts into demonstrable prototypes; (iii) Actively engage with external academic, commercial, and government partners and clients to develop new research and business opportunities leveraging computer vision, including proposal development; (iv) Author quality peer reviewed publications and inventions. Requirements: (i) Ph.D. or equivalent experience in Electrical Engineering, Computer Science, or related fields; (ii) At least five years of experience in computer vision, image processing and machine learning with applications in object detection, recognition, tracking; (iii) Experience with C or C++, MATLAB, Python, OpenCV; (iii) Working knowledge of the state-of-the-art deep learning concepts and platforms, including Torch, Theano, TensorFlow, Caffe; (iv) Strong presentation and written communication skills; (iv) Hands-on algorithm and software development; (v) Strong record of publications in high impact conferences and journals. Any experience in fine grain image/video classification, deep learning for computer vision problems, visual analytics from cross-modal data, hyperspectral image analysis, and AR/VR is a plus. Please contact Raja Bala (raja.bala@parc.com) or Matthew Shreve (matthew.shreve@parc.com) for more information. To Apply: www.parc.com/about/careers/ → ‘Software Research and Engineering’ → ‘Computer Vision Developer’

Posted on: 2017-06-22 03:05:47 UTC

Computer Vision Research Engineer - Opportunity to Impact Patient Lives

AiCure|New York City

Are you interested in working on challenging computer vision problems and having a real impact on people's health? Read on as this opportunity might be for you. AiCure is a VC-funded startup that leverages mobile technology by combining it with artificial intelligence (computer vision, machine learning, big data) to bring better health, better drugs, and better treatment to everyone on the planet. We're rapidly expanding and if you're passionate about making a positive impact, we'd like to hear from you! You will play a leading role in creating algorithms to solve challenging problems in computer vision on mobile devices. Your work will make a significant impact on our products, and on healthcare for everyone on the planet. Link: https://aicure.workable.com/jobs/408018 Contact email: daniel.glasner@aicure.com

Posted on: 2017-06-20 19:02:32 UTC

Research Scientist- Computer Vision

RetailNext, Inc.|San Jose, CA

RetailNext is the worldwide market leader and expert in brick-and-mortar retail analytics. We track more than a billion shopping trips per year by collecting data from nearly 100,000 sensors in retail stores and analyze trillions of data points annually. Headquartered in San Jose, CA, RetailNext is a growing global brand operating in more than 40 countries. Cutting-edge Computer Vision is at the core of the RetailNext's suite of proprietary technologies. Our R&D team works on problems ranging from multiple object tracking and facial analysis, to image registration, mosaicking, and 3D reconstruction. We recently branched out from our roots as a software company by designing and building our own cloud-managed stereo sensor, Aurora, that features onboard shopper detection and tracking analytics using video, in addition to WiFi and Bluetooth-based analytics and on-board HD video recording. The need to understand shopper behavior drives us to do novel research in object, action, and gesture recognition, and we are looking for a Computer Vision Research Scientist to join our R&D team to help with those efforts. You will have an enormous opportunity to conduct applied research and development in Computer Vision and Machine Learning, that will become part of real-time applications analyzing visual data across hundreds of thousands of sensors worldwide. In particular, you will be involved in exploring and developing CV/ML techniques to perform object detection; including parts based modeling and inference, and training and using SVM/LSVM classifiers, convolutional neural networks and deep networks as detectors. These techniques will be applied towards solving real world problems like human, upper body, head, and face detection, facial landmark detection, recognition, and pose estimation in challenging “in-the-wild” environments. Your research will create intellectual properties, leading to patents and/or publications in international conferences and peer-reviewed journals. The position requires a Ph.D. in Computer Vision or Machine Learning. The position also requires a proven research track record of peer-reviewed journal/conference publications in top-tier venues. Strong programming skills in C/C++, MATLAB and rapid prototyping experience is required. Responsibilities Develop state-of-the-art computer vision algorithms for object detection, classification, and recognition Prototype hardware and software solutions for detection, classification, and recognition Develop computer vision techniques for object detection: devising discriminative features, parts based modeling, SVM/LSVM classifiers or CNN based detection; and for facial analysis: face detection, landmark detection, recognition, classification, and pose estimation Contribute research applicable to RetailNext product development Develop robust software for integrating multiple sensors and tracking systems Requirements PhD in Computer Science or Electrical Engineering with a focus on Computer Vision, or Machine Learning Track record of peer-reviewed journal/conference publications or patents in Computer Vision, or Machine Learning Hands-on experience with learning based object detection Working knowledge of supervised and semi-supervised learning, discriminative and generative classification, discrete optimization, and multi-view geometry Experience with computer vision/machine learning libraries such as OpenCV, Matlab Experience building systems integrating input from multiple sensor modalities We will be at the CVPR show please reach out to Dong Liu (dong@retailnext.net) or Imran Saleemi (imran@retailnext.net) if you would like to schedule time to meet.

Posted on: 2017-06-20 04:35:07 UTC

Research and PhD position at The Kong Kong Polytechnic University with Full Scholarship

Hong Kong Polytechnic University|Hong Kong

Applications are invited from graduates, with evidence of academic excellence, research ability and potential, and good communication, interpersonal and leadership abilities for full-time PhD study in The Hong Kong Polytechnic University with full scholarship (~2000 US$ pm). The applicants should have Bachelor's degree in Computer Science or Electronics/Information Engineering with a relevant Master's degree. Outstanding candidates from top ranking universities with only Bachelors degree and high CGPA can also be considered. The applicants should have excellent academic record and programming skills. The successful candidate(s) are expected to directly work with Dr. Ajay Kumar in The Hong Kong Polytechnic University (http://www.comp.polyu.edu.hk/~csajaykr) . There are NO GRE score or special requirements for the selection process. Two Research Assistant positions are also available for applicants pursuing their research in the computer vision and biometrics area. Please send your detailed CV (including aggregate marks, courses undertaken, publications, project undertaken) to Dr. Ajay Kumar, Department of Computing, The Hong Kong Polytechnic University via email to Ajay.Kumar at PolyU.edu.hk The applicants who do not receive any response within two weeks of their application should consider their application as unsuccessful.

Posted on: 2017-06-19 17:25:08 UTC

Machine Learning for Visual Scene Understanding

Five AI|Cambridge, United Kingdom

Five AI is an exciting UK-based start-up developing software for autonomous vehicles. Founded by a strong technical team with a stellar track record and venture-funded in June 2016, Five AI is developing a safe driverless system for complex urban environments without the necessity of dense prior mapping, making extensive use of strong machine learning (ML) and artificial intelligence (AI) technologies. We are looking for exceptional individuals to build our vision, to shape, develop and validate our world-changing software and to deliver it into the most exciting market for ML and AI. You’ll earn a good market salary and benefits include private health cover and the possibility of company pension contributions. But this is also a rare opportunity to acquire start-up stock options in a future global leader. So if you are a self-starting high-energy engineer, computer scientist, mathematician or physical scientist and want to play your part in shaping the future, come and join us. You’ll be responsible for designing and building both supervised and unsupervised learning technologies to parse objects and determine their state as far as it is relevant to driving decisions. States might include object classifications, traffic signal states, orientations, wheel angles and human actions.

Posted on: 2017-06-19 11:48:29 UTC

Research Scientist Position in Computer Vision at KAUST

KAUST|Saudi Arabia

The Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST) invites applications for the position of Research Scientist in Computer Vision. We particularly encourage applications by female candidates although we will consider outstanding candidates of any demographic. KAUST is seeking candidates with an established track record of research in computer vision, with a particular interest in vision for unmanned aerial and underwater vehicles, remote sensing, and reconstruction. Successful candidates will have a PhD in Computer Science, Electrical Engineering, or related fields, as well as a strong publication record in top-tier conferences and journals. The mission of the Visual Computing Center is to develop computational algorithms and tools for problems in imaging, remote sensing, urban planning, and scientific visualization. The VCC is KAUST's hub for research activities spanning all areas of visual computing, including imaging, computer vision, computer graphics, and visualization, as well as interdisciplinary applications of visual computing. The VCC offers a unique combination of an intellectually stimulating environment and access to superb facilities, including large-scale virtual reality installations in the KAUST Visualization Core Lab (KVL) and KAUST’s 5 Petaflop/s Shaheen-2 supercomputer. KAUST is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located on the shores of the Red Sea in Saudi Arabia, KAUST offers superb research facilities, generous assured research funding, and internationally competitive salaries, attracting top international faculty, scientists, engineers, and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges related sustainability in energy, water, food, and the environment. Applications should be made by email to Wolfgang Heidrich Professor & Director KAUST Visual Computing Center wolfgang.heidrich@kaust.edu.sa

Posted on: 2017-06-17 15:37:20 UTC

Research Associate (Postdoc) in Computer Vision

SnT Centre, University of Luxembourg|Luxembourg

Your Role The successful candidates will join the Computer Vision team led by Dr. Djamila Aouada as part of the SIGCOM group of Prof. Björn Ottersten. They will contribute to projects in Computer Vision (European projects, partnered projects, national projects, etc.). They will perform the following tasks: Shaping research directions and producing results in one or more of the following topics: Action and object recognition 3D shape modelling Machine learning Face and emotion recognition Attracting funding in cooperation with industrial partners Coordinating research projects and delivering outputs Providing support in setting up and running experiments in the SnT Computer Vision laboratory Implementing real-time solutions Providing guidance to PhD and MSc students Disseminating results through scientific publications Organizing relevant workshops and demonstrations For further information, please contact Djamila.Aouada@uni.lu. Your Profile A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field Competitive research record in computer vision, machine learning, and/or image/signal processing Strong mathematical background Strong development skills in C++ Documented research experience in a number of the aforementioned topics Experience with machine learning algorithms Experience with European projects (FP7/H2020) Commitment, team working and a critical mind Fluent written and verbal communication skills in English are mandatory We offer The University offers a two year employment contract and may be extended up to five years. The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created research centre. Further Information Applications, written in English should be submitted online and should include: Curriculum Vitae (including your contact address, work experience, publications) Cover letter indicating the research area of interest and your motivation A research statement (max 1 page) Contact information for 3 referees. Link: http://emea3.mrted.ly/1gi12 Contact email: Djamila.aouada@uni.lu

Posted on: 2017-06-15 16:20:33 UTC

Postdoctoral Fellow at CVLab

EPFL|Lausanne, Switzerland

We are looking for a postdoctoral fellow in the context of a collaboration with Logitech on the topic of mixed reality. The position is initially offered for 18 months and can potentially be extended for up to 4 years in total. The goal of this project is to develop real-time, Deep Learning-based algorithms to track in 3D desktop objects being manipulated by a user and integrate them in a virtual reality platform for better immersion. This will allow the users to interact with their physical environment, such as their keyboard, while evolving in a virtual environment. Applications must be sent by email to ariane.staudenmann@epfl.ch. They must contain a statement of interest, a CV, a list of publications, and the names of three references. More information at http://cvlab.epfl.ch/employment.

Posted on: 2017-06-15 16:19:10 UTC

Postdoctoral Researcher at Osaka University

Osaka University |Osaka, Japan

Institute for Datability Science (IDS), Osaka University is newly founded in April 2016 to facilitate “data-driven” research projects by offering experienced experts to researchers in Osaka University (http://www.osaka-u.ac.jp/en/index.html). IDS has some open positions in the fields of Computer Vision, Pattern Recognition, Machine Learning, Data Mining, Natural Language Processing and invites applications from researchers in these fields. The candidate will be assigned based on one’s expertise to some interdisciplinary projects in the fields of medicine, dentistry, pharmacy, science, engineering, humanity, and sociology. Asides from these projects, the candidate can have their own projects. We especially look forward to applications from researchers who can start to work with us early. The position lasts until March 2022 with a possible extension. Please send your CV and publication list to applications@ids.osaka-u.ac.jp with expected date to join us. Prof. Hajime Nagahara is at the venue during CVPR to meet you in person for more detail. If you have any questions regarding this offer, please contact at: applications@ids.osaka-u.ac.jp Contact Email: applications@ids.osaka-u.ac.jp

Posted on: 2017-06-14 06:13:06 UTC

Research Engineer: Image Technology

Dolby|L.A.

Overview: Based just outside of L.A., near all of the major Hollywood studios, Dolby’s Image Technology research group has an ideal environment in which to understand and contribute to the science of motion pictures. As consumer distribution continues to shift from disc based media toward network streams, the opportunity for innovation will be limitless. Our goal is to create the highest quality video experience possible, whether a consumer chooses to watch the big screen in a theater, a flat panel in the living room or a smartphone on the go. We work collaboratively in small teams to invent and develop digital video processing algorithms that maintain the original intent of content creators, while meeting the constraints of networks, embedded systems and displays. For this position, the team is focused on tools to create and deliver high dynamic range movie content. In order to characterize and solve the related problems, we utilize our knowledge of the fundamental principles of signal processing, computer graphics, computer vision and the human visual system in conjunction with an understanding of motion picture production workflows. The emphasis on foundational theory provides a basis for stronger patent protection. Responsibilities: • Productize R&D software that is used for HDR content creation and delivery • Identify and develop applications and features that optimize the experience of watching video • Help to develop proof of concept demos and prototypes • Provide documentation and guidance to engineers who will productize new applications and features • Work on the fundamental problems related to video and image quality • Publish results that have been protected by patent Requirements: • Degree in CS, EE or related field (Ph.D. a plus) and 8 years of relevant experience • Professional experience in image processing, computer vision, graphics or a related discipline. • Demonstrated proficiency in programming C/C++ Desirable Qualifications: • Solid record of publications or patents • Video post-processing algorithm development experience • Research experience with Bayesian techniques for pattern matching or machine learning • Experience related to perception and the human visual system • Matlab • Knowledge of H.265/MPEG HEVC • DSP coding experience Please apply directly to the below link and your resume will be reviewed immediately. https://career4.successfactors.com/sfcareer/jobreqcareer?jobId=15001&company=Dolby&username=

Posted on: 2017-06-14 02:36:21 UTC

R&D Intern in Deep Learning / Computer Vision / Medical Imaging (Fall 2017)

12 Sigma Technologies|San Diego, CA

Posted on: 2017-06-14 02:34:35 UTC

Machine Learning Research Engineer at Imagen

Imagen|NEW YORK CITY

Imagen’s vision is to improve patient care by democratizing world-class medical expertise. To realize our vision, we have assembled a team of world-leading clinicians, artificial intelligence (AI) scientists, and software engineers, all of whom are working closely together to extend the frontiers of medicine and AI by building and deploying state of the art AI models trained on large scale and high quality datasets. We are looking for passionate research engineers with expertise in artificial intelligence, computer vision, and software engineering. As a research engineer, you will be a part of our AI team working closely with world class researchers and clinicians to develop and train prototypes of novel models at the frontier of AI research and medicine, primarily radiology. You will engage with research topics and build deep learning models for various complex and novel machine learning tasks using large proprietary datasets. In addition, you will collaborate with our engineering team to help them productionize the trained models. While doing so you will gain valuable experience in artificial intelligence and get a first-hand experience of how these models actually get scaled and deployed in a real-world settings of extremely high impact. Responsibilities Work alongside AI researcher to develop highly scalable algorithms based on state-of-the-art machine learning, particularly neural network methodologies Be involved in the entire pipeline associated with training such models, including pre-processing and massaging the data to make it digestible for model training purposes, implementing the parametric model, training it on the datasets, and testing Be involved in analyzing the results and tweaking the model/training to improve its performance Be involved in basic data analysis to extract patterns in large swaths of data which can potentially give insights into the nature of the data, in-turn enabling us to better model it A non-trivial part of this job will involve model exploration. As a result you should be comfortable with reading an arxiv paper and implementing the proposed model and apply it to our dataset Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments, such as GPUs and distributed clusters Qualifications Ph.D. or Masters in Computer Science or equivalent Experience in building machine learning and deep learning models Experience in numerical optimization Experience in developing and debugging in Python, Lua, or C/C++ Experience working with deep learning libraries such as TensorFlow, Torch, Caffe, or Theano Experience training models on GPUs and on modern distributed systems, such as multi-GPU clusters

Posted on: 2017-06-13 03:22:53 UTC

Machine Learning Research Scientist at Imagen

Imagen|NEW YORK CITY

Imagen’s vision is to transform healthcare by democratizing world-class medical expertise. To realize our vision, we have assembled a team of world-leading clinicians, artificial intelligence (AI) scientists, and software engineers, all of whom are working closely together to extend the frontiers of medicine and AI. We are assembling large scale, high quality datasets annotated by expert clinicians and building novel AI models trained on these dataset to solve high-impact problems in healthcare. We are looking for self-motivated research scientists with expertise in artificial intelligence and computer vision who are passionate about making a transformative impact in healthcare. Whether you are starting or have industry/academic research experience, we are looking for individuals who have high potential and drive for making significant progress in AI with a particular focus on healthcare. As a research scientist, you will be working closely with fellow researchers and world-class clinicians to identify challenging AI problems in healthcare, brainstorm novel solutions, and implement systems to test your hypotheses on our proprietary large-scale datasets. While doing so, you will also enable the progress of wider research community in this area by publishing in top conferences and journals. In addition, you will be working closely with other engineers to oversee your solutions being made available for production in appropriate scenarios. Responsibilities Work in close collaboration with other AI researchers and world-class clinicians to identify challenging real-world AI problems in healthcare Do research and propose novel machine learning solutions to identified problems Implement the proposed solutions to test your hypotheses and iteratively refine your solutions on our high quality, large scale datasets Come up with ambitious long-term research goals that have potential to transform healthcare, while at the same time working towards intermediate milestones in line with Imagen’s objective Influence the progress of AI research in healthcare by actively publishing in top conferences and journals Work closely with research engineers to help them develop highly scalable algorithms based on state-of-the-art machine learning, particularly neural network methodologies Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments, such as GPUs and distributed clusters Qualifications Ph.D. in computer science or equivalent Strong publication record in machine learning/computer vision conferences Candidate should be highly creative and productive, with a deep knowledge of machine learning Experience in proposing novel machine learning solutions to open problems Experience in implementing and scaling up proposed novel AI models/ideas - preferably in environments such as Tensorflow, Torch, Caffe, or Theano Experience training models on GPUs and on modern distributed systems, such as multi-GPU clusters

Posted on: 2017-06-13 03:22:13 UTC

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging)

12 Sigma Technologies|San Diego, CA

Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies （图玛深维）is a well-funded start-up company focused in applying artificial intelligent and deep learning into modern medical image diagnosis and medical data analysis. We also have R&D teams in Beijing and Suzhou, China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits and visa sponsorship. http://www.12sigma.cn/en/ http://www.12sigma.cn/ Job Location: San Diego Job Titles: · Research Scientist with all levels of experience Job Responsibilities: · Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. · Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. Job Qualifications · PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience · Strong expertise in computer vision and machine learning, with solid understanding of neural networks and the underlying math · Publications at top conferences and journals, or successful industry experience · Extensive experience in designing deep convolutional neural networks using Caffe or similar platforms (TensorFlow, Theano, MxNet, etc.) · Proficient programing skills in C/C++ and Matlab, experience with ITK preferred · Excellent communication and presentation skills · Ability to work efficiently both as an individual and as a team member in a fast-pace working environment · Ability to quickly learn new skills and knowledge Send application to career@12sigmamedicalimaging.com

Posted on: 2017-06-13 03:20:14 UTC

Senior Software Engineer / Software Engineer

12 Sigma Technologies|San Diego, CA

Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies（图玛深维）is a well-funded start-up company focused in applying artificial intelligence and deep learning into modern medical image diagnosis and medical data analysis. We also have R&D teams in Beijing and Suzhou, China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits and H1-B visa sponsorship. http://www.12sigma.cn/en/ http://www.12sigma.cn/ Job Location: San Diego Job Titles: · Software Engineer with all levels of experience Job Responsibilities: · Design and develop state-of-the-art computer vision and deep learning-based CAD software for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. · Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. · Develop, maintain, and upgrade current diagnosis software system, locate and debug software defects in a timely manner. · Write high-level and low-level system design documents Job Qualifications · MS in CS/CE/EE or related fields, or BS with 2+ years of software development experience · 2+ years of C/C++ programming, 2+ years of software design experience, familiarity with software development cycle · Proficiency in Visual Studio and MFC programming. Familiarity with virtual machine, parallel programming, Windows and Linux programming. · Proficiency in scripts languages such as Python, Java, experience with ITK/VTK preferred · Experience in computer vision, machine learning, image analysis, and medical software preferred · Familiarity with network protocols such as Soap and RESTful. Experiences in cross-platform API design and implementation preferred · Excellent communication and presentation skills · Ability to work efficiently both as an individual and as a team member in a fast-pace working environment · Ability to quickly learn new skills and knowledge Send application to career@12sigmamedicalimaging.com

Posted on: 2017-06-13 03:18:25 UTC

Research Scientist at Didi

DiDi Chuxing|Beijing, CHINA / Mountain View, California, USA

DiDi Chuxing is the world’s leading mobile transportation platform, which offers a full range of mobile tech-based mobility options for nearly 400 million users. DiDi is devoted to attract top engineers to drive transformation in the global transportation industry. We aim at building the best place to share and work with others; we believe there is a perfect spot for you to grow with us. We are looking for experienced research scientist to develop technologies for our special project. You will be responsible to develop the real-time algorithms that are running on our vehicle platform and providing services in Didi’s network to the customers. Qualifications:  Master or PhD degree; 3+ years of work experience in Artificial Intelligence related fields: Computer Vision, Path Planning, or general Machine Learning etc.  Proficient in C++ or Python programming;  Track record of publications in top international conferences or journals is a plus. Please send your resume+cover letter to: Globalhr@didichuxing.com. Please provide the following information in the email subject line: CVPR_Name_Position_Education.

Posted on: 2017-06-12 07:17:09 UTC

Software Engineer at Didi

DiDi Chuxing|Beijing, CHINA / Mountain View, California, USA

Posted on: 2017-06-12 07:16:33 UTC

Postdoctoral Research Assistants in Computer Vision

University of Oxford|UK

We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the IARPA funded project under the DIVA programme. You will have the opportunity to work as part of the Visual Geometry Group at the Department of Engineering Science in central Oxford. The post is available for 2 years. The objective of the project is to carry out fundamental research in order to develop the next generation of computer vision and learning algorithms to recognise human actions and activities in videos using architectures such as Convolutional Neural Networks or other learnable models. You will be required to develop and implement novel computer vision and learning algorithms to automatically and accurately recognise human actions in images and videos. In addition you will also contribute documented software to the project and write up the results for conference and journal publications. To apply for this job, please visit: http://www.eng.ox.ac.uk/jobs/current-vacancies/vacancy/129066-Postdoctoral-Research-Assistant-in-Computer-Vision.

Posted on: 2017-06-10 01:01:44 UTC

Postdoctoral Research Assistants in Computer Vision

University of Oxford|UK

We are seeking a full-time PDRA to join the IDIU project in the Visual Geometry Group at the Department of Engineering Science (Oxford). The post is funded by European Research Council (ERC) and is fixed-term for 24 months. The candidate will work on a cutting-edge research project at the boundary of computer vision and deep learning. The candidate will conduct theoretical research in deep learning applied to computer vision tasks and may co-supervise DPhil students working on related problems. You should possess (or be near completion of) a relevant PhD/DPhil in computer vision or machine learning, together with a solid mathematical and computational background in learning, optimisation, and vision. Previous experience on the practical aspects of the large-scale numerical methods at the core of this research is welcome. A solid track record of publications in relevant international peer-reviewed conferences and journals (e.g. ICCV, CVPR, ECCV, NIPS, ICML, ICLR, PAMI, IJCV) is essential. To apply for this job, please visit: http://www.eng.ox.ac.uk/jobs/current-vacancies/vacancy/129246-Postdoctoral-Research-Assistant-in-Computer-Vision-and-Machine-Learning

Posted on: 2017-06-10 01:01:18 UTC

Postdoctoral Research Assistants in Computer Vision

University of Oxford|UK

We are seeking a full-time Postdoctoral Research Assistant (PDRA) to join the Visual Geometry Group at the Department of Engineering Science in central Oxford. The post is funded by Continental Corporation and is fixed-term until 30 April 2019. The successful candidate will have an opportunity to work on cutting-edge computer vision and machine learning research projects. You will develop new deep learning algorithms for highly-reliable visual object detection, semantic image segmentation, human pose and action understanding, and similar. You will write algorithms and manage your own academic research. The successful candidate will be embedded in Oxford Information Engineering Department, home to some of the most successful international computer vision groups. He/she will be given the opportunity for personal development beyond research. While the aim is to develop core machine learning algorithms for core computer vision problems, the candidate can expect his/her research to be a major innovation driver for Continental’s applications to automotive. To apply for this job, please visit: http://www.eng.ox.ac.uk/jobs/current-vacancies/vacancy/129213-Postdoctoral-Research-Assistant-in-Computer-Vision

Posted on: 2017-06-10 01:00:56 UTC

Postdoctoral Research Assistants in Computer Vision (3 posts)

University of Oxford|UK

We are seeking three full-time Postdoctoral Research Assistants to join the EPSRC Project Seebibyte: Visual Search for the Era of Big Data. You will have the opportunity to work as part of the Visual Geometry Group and Biomedical Image Analysis group at the Department of Engineering Science in central Oxford. All posts are available for 2 years in the first instance with the possibility of an extension. The objectives of the project are first, to carry out fundamental research in order to develop the next generation of computer vision algorithms that are able to analyse, describe and search image and video content with human-like capabilities; and second, to transfer these methods to other disciplines and to industry. There will be a particular focus on Deep Learning methods. You will develop and implement novel computer vision and learning algorithms to automatically and accurately analyse the content of images and videos. You will transfer and apply these algorithms to disciplines other than computer vision, and to industry and manage your own academic research. To apply for this job, please visit: http://www.eng.ox.ac.uk/jobs/current-vacancies/vacancy/129117-Postdoctoral-Research-Assistant-in-Computer-Vision-(3-posts)

Posted on: 2017-06-10 01:00:19 UTC

Vehicle Control Engineer (Full-time/Internship)

TuSimple|San Diego, CA

Responsibility • Design and implement the core algorithms in autonomous vehicle control • Design and test vehicle dynamic models • Integrate and test the autonomous vehicle system Qualifications • 3+ years of experience on vehicle control • Deep understanding on control theory and vehicle dynamic • Experiences in automobile engineering including tire model, powertrain of vehicle, K&C characteristic, etc. • Strong background in control system design, signal processing, dynamic system modeling, and the experiences in applying these disciplines to real-world systems • Familiar with dynamic system modeling and the methodologies in parameter estimation • PhD or MS in a related academic program Bonus Points • Experiences in the development in the vehicle control system (CC, ACC, ESC, EPS) Please send me application to : http://tusimple.ai/

Posted on: 2017-06-09 07:40:31 UTC

Autonomous Driving Mapping Research Engineer (Full-time/Internship)

TuSimple|San Diego, CA

Qualifications • PhD or MS in related academic program or equivalent practical experience. • At least 2 years of research experience (excluding course project) in lidar point cloud processing or computer vision. • At least one year experience with SLAM. • Proficiency with C++ or Python. Bonus Points • Related experience in autonomous driving • Experience in ROS, PCL, OpenCV, Ceres Solver • Experience in deep learning (MXNet preferred) • Proficiency with Linux • Strong publication record Please send me application to : http://tusimple.ai/

Posted on: 2017-06-09 07:40:09 UTC

Motion Planning Engineer

TuSimple|San Diego, CA

Responsibilities • Design and implement on-road trajectory planning algorithm • Participate in cutting edge research in machine intelligence and machine learning applications • Develop solutions for real world, large scale problems Qualifications • PhD or MS in related academic program or equivalent practical experience • Experience in planning and/or control systems in mobile robotics • Excellent programming experience in AT LEAST ONE of the following languages: o C, C++, Python • Solid understanding on RRT, lattice-based planners, probabilistic robotics, and/or numerical optimization • Publications in top conferences/journals in a related field or equivalent experences Bonus Points • Demonstrated ability to create real-time motion planning algorithms • Published at top tier journals/conferences in CV/ML • Experience in SLAM, probabilistic filtering, and 3D data • Experience in reinforcement learning Please send me application to : http://tusimple.ai/

Posted on: 2017-06-09 07:39:40 UTC

IT Specialist （Full-Time/Internship）

TuSimple|San Diego, CA

Key responsibilities We are looking for a smart, responsible, self-motivating full-time candidate Responsibilities will include but are not limited to following: • Install, manage, test all company’s electronics devices. • Install, manage, and troubleshoot network infrastructure, such as cabling, switches, wireless hardwares, and routers • Work alongside operations and engineering team to develop new policies and technologies • Research and develop hardware and software solutions to meet any project's needs. • Use documentation to keep track of equipment, infrastructure, and support processes • Setup and manage internal company systems Qualifications • 3+ years’ experience in IT or combination of education and experience required • Excellent troubleshooting skills • Excellent written and verbal communication skills in English, and preferably Chinese. • Team oriented, but also be able to work independently • Strong fundamental networking knowledge including IP addressing, DHCP, basic physical and logical network topology • Ability to troubleshoot network issues, and to conduct Wi-Fi setup. • Knowledgeable in building computers. • Linux experience Please send me application to : http://tusimple.ai/

Posted on: 2017-06-09 07:39:14 UTC

Autonomous Driving Software Engineer （Full-Time/Internship）

TuSimple|San Diego, CA

Key responsibilities • Build platforms, systems and internal tools for autonomous driving vehicles. • Design, develop, test, deploy, maintain, and enhance software solutions. • Collaborate with other team members Qualifications • MS in Computer Science in related technical field or equivalent experience. • Professional coding experience in C/C++, Python. • Experience architecting and developing robotics systems. Please send me application to : http://tusimple.ai/

Posted on: 2017-06-09 07:38:44 UTC

Autonomous Driving Perception Research Engineer (Full-time/Internship)

TuSimple|San Diego, CA

Responsibility • Design and implement perception algorithms based on lidar, vision, and radar sensors. • Research on topics such as: object detection, tracking, sensor fusion. • Implement novel technologies as a part of an agile team. Qualifications • PhD or MS in related academic program or equivalent practical experience. • At least 2 years of research experience (excluding course project) in lidar point cloud processing or computer vision or deep learning. • At least one year experience with object detection, recognition or tracking. • Proficiency with C++ or Python. Bonus Points • Related experience in autonomous driving • Proficiency with Linux • Strong publication record in industry and academia Please send me application to : http://tusimple.ai/

Posted on: 2017-06-09 07:38:16 UTC

Funded PhD position at ETS

École de technologie supérieure (ETS), U. of Quebec|Montreal, Canada

Funded PhD position at ETS (U. of Quebec) Efficient Deep Learning Architectures for Weakly Supervised Recognition Applications are invited for a funded PhD position in computer vision and machine learning at the École de technologie supérieure (ETS), U. of Quebec, Montreal, Canada. The candidate will work under the supervision of Profs. Eric Granger and Marco Pedersoli in the Laboratory for Imaging, Vision and Artificial Intelligence (LIVIA, see link below). The position is available immediately after the candidate passes ETS application requirements. Financial support is available for the project’s duration (maximum of 3-4 years). We are looking for highly motivated doctoral students, who are interested in performing cutting-edge research in computationally efficient deep learning architectures, with a particular focus on problems with reduced supervision and domain adaptation. Prospective applicants should have: Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics, or electrical engineering, preferably with expertise in one or more of the following areas: machine learning, deep learning, computer vision; A good mathematical background; Very good programming skills in languages such as Python, C, C++ and deep learning libraries such as Theano, TensorFlow, Pytorch A prior publication in one of the major conferences or journals in computer vision/machine learning is not necessary but would be a very desirable. Application process: For consideration, please send a resume, names and contact details of two references, transcripts for undergraduate and graduate studies, and a link to a Masters thesis (as well as relevant publications if any) to Eric Granger (Eric.Granger@etsmtl.ca) Marco Pedersoli (Marco.Pedersoli@etsmtl.ca) Laboratory for Imaging, Vision and Artificial Intelligence (LIVIA): http://www.etsmtl.ca/Unites-de-recherche/LIVIA/accueil?lang=en-CA

Posted on: 2017-06-09 01:48:11 UTC

Professor in Vision-based control for industrial applications

Catholic University of Leuven (KU Leuven)|Belgium

At the Catholic University of Leuven (KU Leuven), Belgium, there is a full-time academic vacancy (part of the senior academic staff) in the area of vision-based based control for industrial applications. The targeted research field extends the industrial computer vision applications activities of the EAVISE research group towards physical control of systems based on visual sensors and towards non-classical cameras such as thermal infrared, multi- and hyperspectral, high dynamic range cameras, light field cameras, etc. For further details see: https://icts.kuleuven.be/apps/jobsite/vacatures/54097377?lang=en For informal enquiries, contact Prof. Toon Goedemé (toon.goedeme at kuleuven.be). The closing date is 15 August 2017.

Posted on: 2017-06-09 01:46:40 UTC

Postdoctoral Researcher in Computer Vision

Chalmers University of Technology & Zenuity AB|Gothenburg, Sweden

We have an opening for a joint position in the Computer Vision Group, headed by Prof. Fredrik Kahl at Chalmers University of Technology and Zenuity AB, a new ADAS and AD software company. The research involves developing algorithms for autonomous driving and 3D surround perception from a moving vehicle. Experience with 3D computer vision and deep learning is expected and the candidate we are looking has a strong publication record in conferences and journals like ICCV, CVPR, ECCV, NIPS, IJCV and PAMI. For more information, contact Prof. Fredrik Kahl, fredrik.kahl@chalmers.se.

Posted on: 2017-06-08 12:48:51 UTC

C/C++ Development Intern (Autonomous Vehicle Direction)

TuSimple|Beijing

8k-12k/Beijing/ Unlimited experience /Undergraduate or over/ Intern • Responsibilities o Contact algorithm department and verify algorithm function. Be responsible for system debugging and integrating of autonomous vehicle; o Make improvements and tuning towards the existing system. • Requirements o Proficient in C/C++; possess multithreading development experience; o Grasp basic data structure and algorithm; OJ exercising experience would be an asset; o Bachelor degree or over in computer science, information, communication or related majors; over 1 year’s development experience; o Possess excellent logical thinking ability, good at analyzing & solving problems, have strong interests in new technologies and things and passionate about the challenging work. • Pluses o Proficient in linux development environment and master at least one scripting language; o Know about ROS; o Know about Docker; o Possess high-performance and real-time computing system development experience.

Posted on: 2017-06-07 09:32:38 UTC

Senior Algorithm Engineer

TuSimple|Beijing

35k-50k /Beijing/ Unlimited experience /Undergraduate or over/Fulltime • Responsibilities o Be independently responsible for R&D of one direction method; o In addition to those required by algorithm engineer, extra requirements include: • Possess research experience relevant to computer vision or machine learning, and have high-level academic papers published; • Excellent learning and problem analysis capability; able to solve new problems independently; • Excellent communication and interpersonal skills; • Pluses o Participation in ACM/ICPC programming contest is preferred; o Understanding of frequently-used deep learning framework is preferred; o Top 10% Kaggle competitors;

Posted on: 2017-06-07 09:32:16 UTC

Network/ Operation & Maintenance Engineer

TuSimple|Beijing

10k-20k /Beijing/ 1-3 yrs.’ experience /Undergraduate or over/Fulltime • Responsibilities o Planning and implementation towards company office network architecture design; o Maintenance work towards AliCloud, Auzre and office server; o Focus on efficiency promotion for research and development process; design and coding tools and platforms for achieving configuration management and data synchronism. • Essential Skills o Proficient in operating AliCloud, Auzre cloud platform; maintain steady operation of cloud office and office server; o Be familiar with network knowledge, VLAN classification and authorization control; possess VPN creating and using experience; o Be familiar with operation of vSphere virtual server and pfSense virtual router; o Be familiar with operation of concentrated storage devise as Synology, and FreeNAS; o Proficient in scripting and web development with python; o Love development work heartily with good learning capacity and excellent logical mind • Preferred Skills o Possess experiences relevant to installation, configuration, and using of open source components as Docker, mysql, redis, kafka and elk etc.; o Be familiar with software development process and version control process

Posted on: 2017-06-07 09:31:34 UTC

V2X System Engineer

TuSimple|Beijing

20k-40k /Beijing/ 1-3 yrs.’ experience /Undergraduate or over/Fulltime • Responsibilities o Be familiar with complete vehicle V2X structure and composition and able to plan & design V2X application technology platform; o Make analysis and problem location towards V2X communication system and put forward effective suggestion on optimization; interpret V2X communication standard, summarize technical indicators, provide standardization result output analysis, review V2X communication protocol stack and develop the communication testing script as well as realize communication process based on protocol stack; o Proficient in each kind of wireless internet communication protocols and standards (Bluetooth, WiFi, NFC, Rfid, DSRC, 5G, FOS etc.); o Be familiar with international and domestic mainstream V2X technical route and standard establishment; • Requirements o Major in communications engineering or automotive electronics etc.; solid foundation in communication theory; over 1 years’ experience for doctor and 3 years’ for master; o Possess over one year’s working experience relevant to communications engineering or automotive electronics; o Proficiency in at least one technology among 802.11p, LET-V, and DSRC; have protocol stack and communication script development experience; o Be skilled in using various electronic test instruments, including oscilloscope, signal generator, spectrum analyzer and network analyzer etc.; o Possess strong ability to analyze and solve problems as well as strong practical ability.

Posted on: 2017-06-07 09:31:02 UTC

Python Engineer: Autonomous Vehicle Direction

TuSimple|Beijing

10k-20k /Beijing/ 1-3 yrs.’ experience /Undergraduate or over/Fulltime • Responsibilities o Be responsible for integration and deployment of system module and field implementation; o Prepare frequently-used script and optimize routine workflow; o Be responsible for collection and processing of sensors data as Camera, GPS/IMU and Lidar etc. • Requirements o Proficient in python and able to do system-level development and deep optimization towards code with python; o Grasp basic data structure and algorithm; OJ exercising experience would be an asset; o Bachelor degree or over in computer science, information, communication or related majors; over 1 year’s development experience; o Possess excellent logical thinking ability, good at analyzing & solving problems, have strong interests in new technologies and things and passionate about the challenging work. • Pluses o Able to wrap the C/C++ code with Cython and realize rapid development with python; o Know about ROS; o Know about Docker.

Posted on: 2017-06-07 09:30:27 UTC

C/C++Engineer: Autonomous Vehicle Direction

TuSimple|Beijing

10k-20k /Beijing/ 1-3 yrs.’ experience /Undergraduate or over/Fulltime • Responsibilities o Contact algorithm department and verify algorithm function. Be responsible for system debugging and integrating of autonomous vehicle; o Make improvements and tuning towards the existing system. • Requirements o Proficient in C/C++; possess multithreading development experience; o Grasp basic data structure and algorithm; OJ exercising experience would be an asset; o Bachelor degree or over in computer science, information, communication or related majors; over 1 year’s development experience; o Possess excellent logical thinking ability, good at analyzing & solving problems, have strong interests in new technologies and things and passionate about the challenging work. • Pluses o Proficient in linux development environment and master at least one scripting language; o Know about ROS; o Know about Docker; o Possess high-performance and real-time computing system development experience.

Posted on: 2017-06-07 09:29:48 UTC

Computer Vision Engineer

JD-X RDC, JD.COM|Santa Clara, CA

Responsibilities • Develop and test state-of-the-art computer vision and machine learning algorithms for mapping, localization, scene analysis, object detection and classification, object tracking, and activity recognition • Implement robust and real-time perception solution integrating multiple sensing devices within the size, weight and power (SWaP) constraint of the application • Prototype hardware and software solutions for real-time robot applications • Collaborate with the research team to integrate perception solutions for autonomous robotic systems. • Develop robust software and comprehensive testing protocol for all projects • Solve unique problems and work on a small, self-directed team. Basic Qualifications • MS/PhD in Computer Science, Electrical Engineering or equivalent with a focus on Computer Vision, Robotics and Machine Learning • Working experience in one or more areas of Computer Vision including 3D Mapping, Visual Odometry, Scene Analysis, 2D/3D Object Detection, Object Tracking, Object Classification, Activity Detection and Recognition • Experience with developing hardware or software solutions in machine perception for commercial or industrial applications. • Knowledge and experience with a wide variety of sensors • Strong experience with software development process including automated build and test in a test driven development environment • Ability to handle and solve complex issues in systematic and creative ways • Excellent written and oral communication skills Preferred Qualifications • Proven record of innovation and delivery of results to solve real-world problems, especially in the areas of autonomous driving, drone and warehouse robotic applications • Hands-on experience in developing and implementing real-time perception systems for robot application, especially experiences in developing autonomous ground vehicle, autonomous aerial vehicle (i.e. drone), autonomous manipulation robots and warehouse automation. • Hands-on knowledge of Deep Learning and its applications in Computer Vision. • Ability of working on challenging assignments with aggressive schedules • Strong experience of building and leading a technical team If interested in working or partnering with us, feel free to contact Dr. Cheng (Hui.Cheng@jd.com).

Posted on: 2017-06-07 07:51:42 UTC

Computer Vision Scientist

JD-X RDC, JD.COM|Santa Clara, CA

Responsibilities • Design and develop state-of-the-art computer vision and machine learning algorithms for mapping, localization, scene analysis, object detection and classification, object tracking, and activity recognition • Develop robust and real-time perception solution integrating multiple sensing devices within the size, weight and power (SWaP) constraint of the application • Prototype hardware and software solutions for real-time robot applications • Collaborate with the engineering team to integrate perception solutions for autonomous robotic systems. • Develop robust software and comprehensive testing protocol for all projects • Solve complex real-world challenges in creative, effective and efficient ways • Plan and manage time, tasks, milestones and resources to meet project objectives • Communicate and coordinate with relevant engineering, operation and product teams during all phases of technology development and technology deployment • Solve unique problems and work on a small, self-directed team. • Directly influence the vision and objectives for your team's work in alignment with business and market needs. • Directly change what we do in JD fulfillment service to delight our customers. Basic Qualifications • MS/PhD in Computer Science, Electrical Engineering or equivalent with a focus on Computer Vision and Machine Learning • Deep expertise in one or more areas of Computer Vision including 3D Mapping, Visual Odometry, Scene Analysis, 2D/3D Object Detection, Object Tracking, Object Classification, Activity Detection and Recognition • Experience with developing hardware or software solutions in machine perception for commercial or industrial applications. • Deep knowledge and experience with a wide variety of sensors • Strong experience with software development process including automated build and test in a test driven development environment • Ability to handle and solve complex issues in systematic and creative ways Preferred Qualifications • Proven record of innovation and delivery of results to solve real-world problems • Deep expertise in Computer Vision and Machine Learning including publications in referred journals and conferences • Extensive experience in developing real-time perception systems for robot application, especially experiences in developing autonomous ground vehicle, autonomous aerial vehicle (i.e. drone), autonomous manipulation robots and warehouse automation. • Deep understanding and hands-on knowledge of Deep Learning and its applications in Computer Vision. • Ability of working on challenging assignments with aggressive schedules • Strong experience of building and leading a technical team If interested in working or partnering with us, feel free to contact Dr. Cheng ( Hui.Cheng@jd.com).

Posted on: 2017-06-07 07:51:09 UTC

Postdoctoral Researcher

University of British Columbia |Vancouver, BC

We have an opening for a postdoctoral researcher in computer vision and/or machine leaning at the University of British Columbia (UBC). The ideal candidate will have recently completed, or will soon complete, their PhD in Computer Science, or a related discipline, with strong publication record in top-tier vision and/or machine learning conferences and journals (CVPR, ICCV, ECCV, NIPS, ICML, etc.) in one or more of the following areas: (*) Language and vision (captioning, NLP-based search, VQA, visual dialogs); (*) Video spatio-temporal understanding; (*) Object and category recognition/detection; (*) Semantic representation and recognition; (*) Representation and deep learning; (*) Weakly-supervised, semi-supervised or unsupervised learning. The candidate will actively participate in research and publishing, work with graduate students, and have opportunities for teaching. For further information please contact Leonid Sigal (lsigal@disneyresearch.com). The starting time for the position is negotiable.

Posted on: 2017-06-06 03:56:57 UTC

Postdoctoral positions in Computer Vision, Robotics, and Human-Computer Interaction

Carnegie Mellon University|Pittsburgh, PA, USA

Postdoc position available for collaboration with Kris Kitani and Chieko Asakawa at the CMU Robotics Institute. The research involves developing robotic and computer vision systems for assisting the blind (http://www.cs.cmu.edu/~NavCog/). Experience with ROS, control, point clouds, deep learning, and user studies is required. The candidate must be highly motivated, with a strong record of publishing in high impact conferences and journals. Positions are available immediately, initially for a one year position with the possibility of an extension. Please send your CV to kkitani@cmu.edu, with the email title “Application for postdoc positions - CVPR”

Posted on: 2017-06-06 02:01:33 UTC

Computer Vision/Deep Learning Internship at Adobe Research

Adobe Research|San Jose, CA

We are looking for a research intern (Fall 2017 or Winter 2018) to explore a project in the intersection areas of deep learning, computer vision, generative modeling, in particular, their applications to image enhancement, editing and generation. As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe’s product line, and consequently reaching millions of computer users worldwide. The ideal candidates should be in a MS/PhD program in a university and have a solid research background in computer vision, image processing and machine learning/deep learning, and hands-on experience on training convolutional neural networks. Adobe Research internships provide valuable work experience to enhance your academic pursuits. As an intern, you will be involved in exciting team projects with some of the most talented people at Adobe. You will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe's product line, and consequently impacting millions of computer users worldwide. You will learn from the best while working in a fun and creative environment. For more about Adobe's internship program, visit http://www.adobe.com/careers/university.html. Contact: Zhe Lin (zlin@adobe.com)

Posted on: 2017-06-06 01:58:55 UTC

Senior Software Engineer- Computer Vision

Cognex Corporation|US - MA - Natick [Headquarters]

The Company: Cognex Corporation Cognex is the global leader in the exciting and growing field of machine vision. With over $700 million of cash in the bank and no debt, we are a financially strong international company with a culture that maintains the fast paced, creative environment of a startup. Our employees, proudly called “Cognoids,” take their work seriously, but don't take themselves seriously. Our Work Hard, Play Hard, Move Fast culture recognizes our employees for their innovation, perseverance and hard work in a fun, rewarding, and quirky environment. The Team Delivering Cognex ID and Vision Automation Solutions into various Retail/Commercial/Freight Distribution Centers, Parcel & Postal and Airport Baggage Handling Industries is one of the fastest growing segments in Cognex, what we define as our Logistics business. The Logistics Solutions and Services Team (LS&S) is chartered to lead the engineering, delivery and acceptance of our ID and Vision Automation Solutions to some of the largest global customers in these industries. Job Summary The Logistics Solutions team is seeking a talented, innovative and hands-on engineer who has a passion for tackling complex, challenging problems. As a Logistics Solutions Engineer, you will implement application software that uses Cognex’s sophisticated machine vision and ID reading technology to move and track goods through a facility. This role has a high degree of customer interface and is expected to provide a high level of customer service and satisfaction. Essential Role Functions Work closely with the sales team to provide technical assessment of customer applications including: analyzing customer’s technical problems, running feasibility studies on customer’s samples, and recommending technical solutions. Develop application software using Cognex Vision and ID products. Specify lighting, optics, and machine vision hardware to achieve vision performance for variety of real-world applications. Install, operate, troubleshoot and debug Cognex vision systems and ID solutions at customer facilities. Must be located in the Natick office with the ability to travel up to 50% of the time including on short notice. Knowledge, Skills and Abilities Good understanding of Windows environment on a PC and networking concepts. Strong programming skills in VB.NET, C++ or C# language. Familiarity with JavaScript and Linux desired. Knowledge of lighting and/or optics for machine vision in industrial settings preferred. Self-starter with good analytical and problem solving skills. Must provide a professional presence with customers and be sensitive to sales situations. Good presentation and communication skills. Education and Work Experience Requirements BS or MS in engineering field such as Electrical Engineering, Computer Science, Mechanical Engineering or Manufacturing Engineering 5+ years of work experience in an engineering field such as automation, machine vision, electrical engineering, mechanical engineering, optics or equivalent acquired in an industrial application environment. Experience using vision systems, robots or PLCs is of benefit. We are an Equal Opportunity Employer. Protected Veterans and Individuals with Disabilities are encouraged to apply.

Posted on: 2017-06-06 01:57:35 UTC

Research Scientist in Computer Vision

Disney Research|Pittsburgh, PA

Disney Research Pittsburgh seeking applicants for a Research Scientist position, at either junior or senior level, in Computer Vision. The research emphasis is on the visual recognition algorithms in image and video domains. This includes areas such as object and activity recognition/detection, joint vision + natural language processing, and other high-level visual structured prediction problems. As part of The Walt Disney Company, Disney Research builds upon a rich legacy of innovation and technology leadership in the entertainment industry that continues to this day. Disney Research was launched in 2008 offering the best attributes of academia and industry with the goal of driving value across the company through technological innovation. Our research covers a broad range of exciting and challenging applications that are experienced daily by millions of people around the world. Our staff interacts directly with all core business areas of The Walt Disney Company including Theme Parks and Imagineering, Consumer Products, our Live Action and Animation Studios, and Media Networks. We publish our research and are actively engaged with the global research community. Our researchers collaborate closely with co-located academic institutions. Duties: (*) Drive value for Disney through groundbreaking research and innovation; (*) Lead a research group with post-doctoral researchers, interns, and external collaborators; (*) Publish results in top conferences within the field (CVPR, ICCV, ECCV, etc.); (*) Participate in conferences, workshops and academic-industrial events; (*) Develop a strong network of business partners within the company. Required qualifications: (*) Ph.D. in Computer Science or equivalent; (*) Proven track record of publications in top computer vision and/or ML conferences; (*) Possess strong technical presentation skills and able to clearly communicate with technical and non-technical audiences. Desired Qualifications: (*) Postdoctoral research experience; (*) Technical breadth in computer vision and machine learning; (*) Experience with neural networks and deep learning architectures. To apply please email careers@disneyresearch.com. Please use DRP-RS-CV-2017 in your subject line. If you're interested in the position or for any further information, please contact Leonid Sigal (lsigal@disneyresearch.com). [ Our researchers are available for meetings at CVPR ] Link: https://www.disneyresearch.com/careers/research-scientist-computer-vision-disney-research-pittsburgh/

Posted on: 2017-06-05 05:59:12 UTC

Fall, Spring and Summer Internships

Disney Research|Pittsburgh, PA

Disney Research has a number of Fall, Spring and Summer internship positions available in our Computer Vision group in Pittsburgh. Candidates should be currently enrolled in a PhD program in Computer Science, or related discipline, have at least one publication in a top-tier vision or machine learning conference, and have excellent written and oral communication skills. We have opportunities for internships in a variety of fields in computer vision and machine learning, including: (*) Semantic image and video understanding; (*) Language and vision (e.g., visual question answering, captioning); (*) Activity and action recognition; (*) Deep learning architectures; (*) Object detection and tracking; (*) Face modeling, tracking and analysis; (*) Weakly supervised, semi-supervised and unsupervised learning. Interested candidates should submit CVs to: careers@disneyresearch.com. For further information please contact Leonid Sigal (lsigal@disneyresearch.com) or Peter Carr (peter.carr@disneyresearch.com). For both applications and questions please use subject line: DR-CV-INTERN-2017. As part of The Walt Disney Company, Disney Research builds upon a rich legacy of innovation and technology leadership in the entertainment industry that continues to this day. Disney Research was launched in 2008 to drive value across the company through technological innovation. Our research covers a broad range of exciting and challenging applications that are experienced daily by millions of people around the world. Our staff interacts directly with all core business areas of The Walt Disney Company including Theme Parks and Imagineering, Consumer Products, our Live Action and Animation Studios, and Media Networks. We publish our research and are actively engaged with the global research community. [ Our researchers are available for meetings at CVPR ]

Posted on: 2017-06-05 05:58:39 UTC

Junior Research Engineer

Anthropics Technology Ltd|London, UK

Anthropics Technology Ltd. is a small, research-driven computer vision and graphics software company based in London, specialising in intelligent image editing software, with several award winning consumer products. Our development team consists of a senior software engineer and 5 PhD level scientists, including Dr Simon Prince, former faculty member of UCL and author of the book “Computer Vision: models, learning and inference”. We are interested and involved in academic research, in sponsoring PhD and EngD students, we also attend relevant conferences and do a weekly journal club. Our team are constantly developing new products and ideas, and are looking for a highly motivated junior research engineer to join us to work on a variety of tasks including: 1) Product driven development of vision and graphics algorithms based on the latest research. 2) Developing tools and scripts to assist in data collection and training models. 3) Integrating new models and algorithms within our software products. 4) Maintaining library and test code. Our requirements for the candidate are: 1) Preferably a Masters or a strong undergraduate degree in Computer Science or applied mathematics. 2) A good understanding of object oriented programming with experience in C++ (preferable) or python. 3) Knowledge of basic geometry, calculus, linear algebra and statistics. 4) Some knowledge and a keen interest in computer vision and machine learning methods, such as detection, segmentation, classification, deep learning models etc. 5) Capable of reading, communicating and implementing contents of academic papers. 5) Ability to work as a member of a small team and manage time effectively. 6) To work in our west London office. We offer a competitive salary (up to £45k per annum depending on experience) based on the candidate’s experience and have an added benefit of attending academic conferences. Interested applicants should send a CV and covering letter to office@anthropics.com.

Posted on: 2017-06-03 07:18:51 UTC

Software Engineer - Core Vision

Cognex |US - MA - Natick [Headquarters]

The Company: With more than 400 patents and the largest team of industrial machine vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry. But our innovation goes beyond technology; we are also known for the creative programs we have designed to recognize and reward the employees whose efforts keep us at the top of our field. Our ‘work hard, play hard, move fast’ culture is challenging, stimulating and rewarding. As we continue on our successful journey, we are looking to add more talented, innovative and dedicated engineers to our team. So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a high impact team working for a financially strong, global company that is the leader in the machine vision industry, then contact us, because working at Cognex is not just a job….it’s a passion! The Team: Core Vision Technology This position is for a team member of the Core Vision and Applications group, responsible for designing and developing the most sophisticated Machine Vision software in the world. Our software is used to align, measure, recognize, and inspect all types of products from computer chips to chocolate chip cookies. Our systems are used in the production of over a billion products every day across many different industries including consumer goods, aerospace, pharmaceuticals, robotics and electronics. Industrial machine vision technology is used to analyze imagery (intensity, color, density, Z-data, etc.): to detect, identify and localize objects, to make measurements, to inspect for defects, and to read encoded data. In many cases, products simply could not be made without Cognex’s vision products. Technology development is critical to the overall business to expand areas of application, improve performance, discover new algorithms, and to make use of new hardware and processing power. Development is primarily done in C and C++. Engineers in this group typically have experience with image analysis, machine vision, or signal processing. Success in this role has the potential to develop into team leadership at Cognex. The Role: This group is seeking engineers with a passion for programming to lead core vision technology development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team. Essential Functions: 1. Imagine, design, develop, code, and debug C and C++ machine vision software. 2. Build efficient, real-time software and related libraries to run either on a PC or embedded platform. 3. Invent, implement and optimize new vision algorithms. 4. Interact with internal or external customers. Knowledge, Skills, and Abilities: Strong programming skills, and experience in production coding. Experience with signal processing and/or computer vision preferred. Industrial programming experience desirable. Experience in applications of computer vision also of interest. Strong desire to grow into a leadership role. Creative, motivated and looking to work hard for an aggressive growth company. Minimum education and work experience required: MS from a top engineering school in EE, CS or equivalent, PhD preferred 5+ years experience in relevant, high-tech, industrial jobs coding in C or C++ If you are interested in working in a high-energy, fast-moving company with leading-edge machine vision technology, strong values, a corporate culture unlike any other in the world, and the best industrial machine vision products available, please visit our website at www.cognex.com and apply online today. We are an Equal Opportunity Employer. Protected Veterans and Individuals with Disabilities are encouraged to apply. Apply from here: https://chm.tbe.taleo.net/chm02/ats/careers/v2/viewRequisition?org=COGNEX&cws=43&rid=1604 Contact email: Pat.McMahon@cognex.com

Posted on: 2017-06-03 07:17:29 UTC

Computer Vision Expert in Automated Driving filed

Robert Bosch|Budapest

Your contribution to something big: Design, implement and verify state-of-the-art computer vision algorithms for applications in the domain of autonomous driving, robotics and security Main focus on scene understanding, action recognition, machine learning/deep learning, object detection, -classification and -tracking Implement algorithms on appropriate embedded platforms for both prototype and product Deliver functionalities robust to demanding field conditions Discuss requirements and results with customers What distinguishes you: M.Sc. with 3+ years experience or PhD with 1+ years experience in Computer Science or related fields Strong knowhow and experience with hands-on implementation of computer vision algorithms in embedded hardware Excellent C++ and object-oriented programming skills. Experience in collaborative development is a plus Strong research and problem solving skills Excellent communication, teamwork and technical writing skills About us: The R&D center of Bosch in Budapest is in charge of designing, testing and exploring systems, components and technologies. Our innovations consistently aim to achieve an improvement in the quality of life. Contact: Anna Balazs, anna.balazs2@hu.bosch.com

Posted on: 2017-06-02 13:43:53 UTC

Deep Learning for Facial Image Analysis

EPFL|Lausanne, Switzerland

The Signal Processing Laboratory (LTS5) at EPFL (Lausanne, Switzerland) is recruiting an outstanding postdoctoral researcher to work on Deep Learning for Facial Image Analysis. Lead by Prof. Jean-Philippe Thiran, the LTS5 develops leading edge research in image analysis and computer vision, with a particular emphasis on facial image analysis, including 3D face reconstruction, facial expression recognition, lip-reading, eye tracking, etc. in close collaboration with the Istanbul Technical University (Prof. Hazım Kemal Ekenel). In the context of several industrial collaborations and of a large H2020 EU project dedicated to Advanced Driver Assistance Systems (Project ADAS&ME - http://www.adasandme.com), we have an open position for a postdoctoral research specialized in machine learning and facial expression recognition. Research will be primarily oriented towards developing innovative deep learning methods for personalized facial expression recognition. Details: The position is for at least 2 years (1 year contract, renewable). EPFL offers attractive salaries, based on experience and excellence criteria Post-doc fellows of exceptional caliber may also be granted responsibility for co-supervising a PhD student on a subject related to their research Starting date is anytime around October 1, 2017. How to apply: Full applications and informal inquiries should be sent to Prof. Jean-Philippe Thiran by email: jp.thiran@epfl.ch Full applications must be in the form of a single pdf file including: a motivation letter describing your research interests and your match to the advertised position, your CV and publication list, and names and email address of 3 references. Screening of candidates will start immediately. Desired skills and experience Candidates will have an outstanding profile and hold, or be about to finish, a PhD in electrical engineering, applied mathematics, computer science or a related area Strong competences in image processing and machine learning are required, including deep learning, model adaptation, face reconstruction and analysis Good programming skills (C++ or equivalent) are required About the employer The Ecole Polytechnique Fédérale de Lausanne (EPFL - http://www.epfl.ch/index.en.html) is an internationally top-ranked scientific research and educational institution on the shores of Lake Geneva, Switzerland. As one of two Swiss Federal Institutes of Technology, its trajectory over the past four decades is unparalleled—taking the lead in emerging fields of research such as bioengineering, signal processing and energy / transportation technology. Under the leadership of Professor Jean-Philippe Thiran, the Signal Processing Laboratory (LTS5) of EPFL counts some 30 researchers, both PhD students and post-docs, conducting leading edge research in different domains of signal/image analysis and computer vision, including data acquisition and reconstruction, object detection, recognition and tracking, behavioral models in image analysis, facial image analysis, medical and remote sensing imaging.

Posted on: 2017-06-02 12:39:20 UTC

Computer Vision Research Scientist - Opportunity to Impact Patient Lives

AiCure|New York City

Posted on: 2017-06-02 07:43:15 UTC

Algorithm Engineer

TuSimple|Beijing

TuSimple/Beijing/ Unlimited experience/Undergraduate or over/Fulltime • Responsibilities o Improve and customize the cutting-edge technology and implement into company’s actual product. • Requirements o Be familiar with basic knowledge about machine learning and computer vision; have real large-scale data processing experience; o Be familiar with python and c++; o Have strong practical ability and able to carry out the idea quickly; • Pluses o Participation in ACM/ICPC programming contest is preferred; understanding of frequently-used deep learning framework is preferred; o Top 10% Kaggle competitors; • Please send me application to : https://www.lagou.com/jobs/list_%E5%9B%BE%E6%A3%AE?labelWords=&fromSearch=true&suginput=

Posted on: 2017-06-02 07:41:47 UTC

Vehicle Control Algorithm Engineer

TuSimple|Beijing

TuSimple/Beijing/1-3 yrs.’ experience/Undergraduate or over/Fulltime • Responsibilities o Be responsible for R&D, simulation, debugging and testing of autonomous vehicle control system; o Be responsible for calibrating and accuracy control of actuating mechanisms as speed and direction of the vehicle; o Be responsible for design of stable redundant control plan; o Finish interaction between decision-making level and executive level cooperating with other module engineers; o Be responsible for building and testing of vehicle motion model; o Finish system integration and debugging work cooperating with other departments. • Requirements o Bachelor degree or over in automation or related majors; o Possess excellent professional knowledge in control system design, signal filtering processing and dynamic systems modeling; o Proficiency in modern control theory and one or more control algorithms such as MPC; o Proficiency in design procedures and stability analysis of frequency domain and time domain central controller as well as dynamic systems modeling and methods of measurement for parameters; o Understanding the vehicle traversal, longitudinal and brake control; knowing vehicle chassis control, body dynamics, tire properties, and suspension characteristics; experience related with AEB, ACC, LKA, ESP development is preferred. o Perfect at using of Matlab, Simulink and related toolkit; grasping the vehicle simulation testing software such as CarSim/TruckSim, and prescan etc.; o Experience in autonomous vehicle control system design is preferred. • Please send me application to : https://www.lagou.com/jobs/list_%E5%9B%BE%E6%A3%AE?labelWords=&fromSearch=true&suginput=

Posted on: 2017-06-02 07:41:17 UTC

Python Engineer: Autonomous Vehicle Direction

TuSimple|Beijing

TuSimple/Beijing/1-3 yrs.’ experience/Undergraduate or over/Fulltime • Responsibilities o Be responsible for integration and deployment of system module and field implementation; o Prepare frequently-used script and optimize routine workflow; o Be responsible for collection and processing of sensors data as Camera, GPS/IMU and Lidar etc. • Requirements o Proficient in python and able to do system-level development and deep optimization towards code with python; o Grasp basic data structure and algorithm; OJ exercising experience would be an asset; o Bachelor degree or over in computer science, information, communication or related majors; over 1 year’s development experience; o Possess excellent logical thinking ability, good at analyzing & solving problems, have strong interests in new technologies and things and passionate about the challenging work. • Pluses o Able to wrap the C/C++ code with Cython and realize rapid development with python; o Know about ROS; o Know about Docker. • Please send me application to : https://www.lagou.com/jobs/list_%E5%9B%BE%E6%A3%AE?labelWords=&fromSearch=true&suginput=

Posted on: 2017-06-02 07:40:41 UTC

Autonomous Vehicle Simulation Engineer

TuSimple|Beijing

• Responsibilities o Vehicle accurate model building & simulation environment building; o Vehicle dynamics simulation & operation stability simulation; o Finish algorithm simulation work cooperating with other module engineers; o Model verification, real road test and vehicle bottom information monitoring; o Finish system integration and debugging work cooperating with other module engineers; • Basic Requirements o Vehicle engineering or related major; graduate degree or above; school students can be accepted as interns; o Grasping professional knowledge of vehicle engineering and understanding vehicle aerodynamics model, tire model, vehicle power assembly and suspension K&C properties etc.; o Skillfully use vehicle simulation software as Matlab/Simulink, CarSim/TruckSim, and Prescan etc.; o Be familiar with parameter measurements relevant to vehicle simulation and acquisition methods of characteristic curve; o Experience involved with vehicle control is preferred. • Please send me application to : https://www.lagou.com/jobs/list_%E5%9B%BE%E6%A3%AE?labelWords=&fromSearch=true&suginput=

Posted on: 2017-06-02 07:39:56 UTC

Postdocs in Computer Vision, Language and Learning

Computer Science Department, Boston University|Boston, Massachusetts

Two post-doc positions are available in the Department of Computer Science at Boston University (BU). Candidates must have a strong research track record in formulating machine learning algorithms and building systems for one or more of the following: (1) video-based analysis of human motion, activity and communication, (2) joint modeling of vision and natural language, (3) explainable deep learning, such as visual saliency models for objects in images and videos. These post-doc positions are funded for up to 18 months, and renewable based on mutual interest and continued funding. The post-docs will be participating in broader collaborations, involving vision, language and learning groups at BU, UC Berkeley, MIT, and Oxford University, as well as with corporate partners. To apply, please send a CV, research statement, links to three relevant peer-reviewed publications, and the names of two references to Kate Saenko (saenko@bu.edu) and Stan Sclaroff (sclaroff@bu.edu).

Posted on: 2017-06-01 06:13:45 UTC

Research Scientist (OCR) – Computer Vision

eBay Inc|San Francisco, CA

The Computer Vision team at eBay New Product Development is seeking highly qualified candidates for full-time Research Scientist position in our beautiful San Francisco office. We developed the visual search feature on ShopBot, a commerce chatbot on Facebook Messenger which is in beta now. Play with it by uploading a product picture. We would like to take it to the next level and looking for strong candidates. We are seeking highly qualified computer vision research scientists to work on problems such as Large Scale Visual Search/Detection/Recognition, Fine Grained Classification, Deep Learning, Attribute Discovery and Localization, Weakly Supervised Learning, Semantic Segmentation and OCR. With hundreds of millions of buyers and sellers, hundreds of millions of live listings at any point of time, millions of daily transactions and billions of daily queries, eBay provides an amazing playground for researchers to work with data and conduct experiments at scale. We actively pursue ideas that result in scalable algorithms and systems, while leveraging the scale of data. Areas we work on (i) Large Scale Visual Search/Detection/Recognition (ii) Fine Grained Classification (iii) Attribute Discovery and Localization (iv) Weakly Supervised Learning (v) Deep Learning (vi) Semantic Segmentation (vii) OCR Basic Qualifications (i) PhD program in Computer Science or related disciplines (ii) At least 2 years of relevant experience in industry is preferred, but recent graduates are great as well (iii) Publication in at least one top-tier computer vision conference such as CVPR, ICCV. This is mandatory. (iv) Hands-on experience with Deep Learning for computer vision applied to OCR (v) Mandatory hands-on experience in Caffe, TensorFlow or Torch (vi) Strong background in computer vision algorithms, low level vision, applied machine learning (vii) Excellent problem solving skills (viii) Experience with CUDA (ix) Strong programming skills in C++, Python (x) Experience with fast prototyping (xi) Strong written and oral communication skills (xii) Eligibility to work in the US. International students – OPT is fine as long you will be able to work until you get your visa (based on the cycle). Send us your resume via email to DL-ebay-erl-vision@ebay.com. Contact Name: Robinson Piramuthu Contact Email: DL-ebay-erl-vision@ebay.com

Posted on: 2017-06-01 06:11:55 UTC

Postdoc in Machine Learning on 4D medical data

Neurofunctional Imaging Group (GIN-IMN), University of Bordeaux|Bordeaux, France

Ginesislab is seeking a postdoctoral researcher to carry out research on the extraction of phenotypes from brain imaging data (structural, diffusion and functional MRI). He or she will have to develop and validate these approaches using different cohorts (BIL & GIN, i-Share, UK-BIOBANK, Human Connectome Project). In a first phase, he or she will be responsible for overseeing the analysis and performing validation tests to characterize the variance and reproducibility of the phenotypes calculated for each subject and each cohort. In a second phase, he or she will work on methods for predicting the anatomo-functional organization of an individual by using classification methods, in particular Deep Learning, using phenotypes identified during the first phase. In addition to publishing this work in leading international journals, the main objective is technology transfer to the company. Who is Ginesislab? Created under the aegis of a Joint Public-Private Laboratory program and supported by the CEA, Ginesislab associates an academic laboratory, the Groupe d'Imagerie Neurofonctionnelle (GIN) specialized in neurosciences, and Cadesis, specialized in the deployment of information systems. Ginesislab's main lines of research are: 1) integrated management of brain imaging data processing, design and automation of local calculations or remote computing centers; (2) the development and integration of statistical methods for the analysis of intra- and inter-cohort variability in order to classify and detect the healthy and pathological determinants of the anatomo-functional organization of the human brain. Requested knowledge. The candidate presenting a curriculum dealing with "computer sciences data" or "neurosciences" will be evaluated according to the following criteria: • Competence in medical imaging and processing of anatomical and functional images; • Competence in applied mathematics / statistics, multivariate analysis, classification and prediction; • Knowledge of development methodology and programming languages (knowledge of Matlab, Python and their environments will be appreciated); • Rigor, autonomy and curiosity to get involved in a multidisciplinary and multi-team project; • Good communication skills in English (oral and written). The application must include: • A complete CV integrating the candidate's experience as well as his/her academic training; • Letters of recommendation from people who can support the candidate; • A detailed and personalized letter of motivation for the position; • The candidate's publications (PDF format). Candidates will be evaluated by analysis of their application and an interview by the co-directors of Ginesislab. Starting date: as soon as possible Duration: 2.5 years (annualized contract) Location: Bordeaux, France Salary: about 2000€ net/month depending on experience Please send your application to: Marc Joliot marc.joliot@u-bordeaux.fr

Posted on: 2017-05-31 03:20:22 UTC

Computer Vision / Machine Learning Engineer

Aurora (www.aurorasolar.com)|Palo Alto, California, USA

We are looking for ambitious computer vision and machine learning engineers who are comfortable with taking ownership of complex projects, while collaborating with existing members of Aurora's computer vision and quantitative analysis teams. Ideally, you have academic or industry experience working on image and point cloud processing, or tackling challenging machine learning and optimization problems. We are a fast-growing startup and each engineer develops key features that transform the way solar is designed and sold. If you are interested in solving challenging problems that truly matter, we would love to hear from you! Responsibilities · You will refine and improve Aurora's image recognition pipeline. · You will write code to accurately and quickly process point cloud data. · You will design algorithms for 3D scene understanding and reconstruction using point cloud data and images · You will research, prototype and deploy state-of-the-art computer vision and machine learning techniques · You will collaborate with software engineering team to appropriately scale Aurora's infrastructure REQUIREMENTS · Proficiency in C++ or Python · Experience with one or more of the following: · 3D vision (geometric reconstruction and recognition) · Deep learning and Tensorflow or similar frameworks · Image processing and OpenCV · Point cloud processing and remote sensing · Familiarity with WebGL and PCL is a plus · BSc plus related work experience · MSc/PhD in CS, CpE or EE desirable · Passionate about renewable energy and sustainability Link or contact email: https://www.workable.com/j/DF5E639F1B

Posted on: 2017-05-28 08:32:37 UTC

Tenure Track Assistant Professor Deep Reinforcement Learning

University of Amsterdam|Amsterdam

AMLAB is looking for a new assistant professor in Deep RL (or associated field). The University of Amsterdam is becoming an important hub in deep learning in Europe with a number of strong industry funded labs (e.g. Qualcomm-QUVA Lab, Bosch-DELTA lab), a very active startup scene (e.g. Scyfer, 3DUniversum, 904Labs) as well as academic labs in machine learning (AMLAB), computer vision (ISIS) and information retrieval (ILPS). Feel free to contact Max Welling if you consider joining us! Link: http://www.uva.nl/en/content/vacancies/2017/04/17-193-assistant-professor-deep-reinforcement-learning.html Contact email: m.welling@uva.nl

Posted on: 2017-05-27 14:58:48 UTC

Deep Learning Engineer (Computer Vision)

CloudSight |Los Angeles

CloudSight is a Los Angeles-based tech company founded in 2012. With a growing database of over 300 million images consisting of high quality metadata, CloudSight utilizes real world data curated over the last five years to train deep learning neural networks to automatically summarize visual data. We are backed by $8 million in funding, have over 30 patents pending worldwide, and count companies such as Kohl’s, P&G, Belk, and many other top online destinations and Fortune 500’s as customers. In addition to this, our breakthrough consumer app and the world’s first successful mobile visual search engine, CamFind, allows you to “Search the Physical World” and find information about anything just by taking a picture from your mobile phone using our in-house technology. Our mission is to bring visual cognition and understanding to artificial intelligence, giving AI the ability to understand what it sees. We’re looking for a recent Master's grad or an undergrad with 2 years of industry experience in the fields of Machine Learning and/or Deep Learning, with interests in Computer Vision and Natural Language Processing. Ideally, the candidate will have good grasp of fundamentals pertaining to Object Detection and Recognition, Image Classification and Scene Understanding. Strong Python/C++ coding skills and familiarity with frameworks such as Torch/PyTorch/Caffe and OpenCV is a must. The candidate will be responsible for developing solutions to real-world problems that integrate directly into our production pipeline. They will be comfortable juggling research and development roles, and also play a crucial part in expanding our Intellectual Property (via both papers and patents). The candidate will also be encouraged to actively participate in some of the huge conferences and networking events that take place around the world to stay up-to-date with breakthroughs in the field. Our office is located in Los Angeles, but the candidate will have the option of working from any destination they would like, or come in to the office from time-to-time to hangout with us! We offer competitive salaries and attractive benefits. Email us at divya@cloudsight.ai to with the job title in the subject line to find out more!

Posted on: 2017-05-25 08:21:51 UTC

Deep Learning Scientist (Computer Vision)

CloudSight |Los Angeles

CloudSight is a Los Angeles-based tech company founded in 2012. With a growing database of over 300 million images consisting of high quality metadata, CloudSight utilizes real world data curated over the last five years to train deep learning neural networks to automatically summarize visual data. We are backed by $8 million in funding, have over 30 patents pending worldwide, and count companies such as Kohl’s, P&G, Belk, and many other top online destinations and Fortune 500’s as customers. In addition to this, our breakthrough consumer app and the world’s first successful mobile visual search engine, CamFind, allows you to “Search the Physical World” and find information about anything just by taking a picture from your mobile phone using our in-house technology. Our mission is to bring visual cognition and understanding to artificial intelligence, giving AI the ability to understand what it sees. We're looking for a candidate with exceptionally good research background in Computer Vision & Deep Learning, that can help kick-start our research efforts in some of our exciting newer initiatives like Video Understanding (including action recognition and video summarization), on-device solution for image understanding, and to continue to expand our existing solutions that lie at the intersection of image and natural language processing. Candidates with PhD preferred for this position. As a part of a really small and tight-knit team, this candidate will be comfortable juggling both research and development roles from time-to-time, and laying the groundwork for some of the newer members that we will bring on. The candidate that we will bring on will play also play a crucial role in expanding our Intellectual Property (via both papers and patents). They will also be encouraged to actively participate in some of the huge conferences and networking events that take place around the world to stay up-to-date with breakthroughs in the field. Our office is located in Los Angeles, but the candidate will have the option of working from any destination they would like, or come in to the office from time-to-time to hangout with us! We offer competitive salaries and attractive benefits. Email us at divya@cloudsight.ai to with the job title in the subject to find out more!

Posted on: 2017-05-25 08:21:10 UTC

ID Products Intern

Cognex Corporation |One Vision Drive, Natick, MA 01760

The Company: Cognex Corporation Cognex is a global leader in the exciting and growing field of machine vision. Our employees, proudly called "Cognoids," are passionate about solving the most difficult vision problems, and get to work with others who take their work seriously, but don't take themselves seriously. And our Work Hard, Play Hard, Move Fast culture recognizes achievement and dedication with unique rewards and celebrations. We are looking for creative, bright, motivated Cognoids who share our passion for excellence and want to make an impact at a dynamic, global company. We celebrate our employees for their innovation, perseverance and hard work in a fun, rewarding, and quirky environment. If you enjoy the sense of accomplishment that comes from working together to create products that solve tough problems for organizations around the world, contact us to see how you can become part of our team! The Team: ID Products This position is in the ID Products business unit, which is responsible for designing and developing the most sophisticated industrial bar code readers in the world. We combine custom hardware, specialized lighting and optics, and world-class vision algorithms to create embedded systems that can find and read high-density symbols on package labels or marked directly on a variety of industrial parts, including aircraft engines, electronics substrates, and pharmaceutical test equipment. Our devices need to read hundreds of codes per second, so speed-optimized hardware and software work together to create best in class technology. Job Summary The ID Products Algorithm team is seeking a talented summer or fall intern who brings creative vision problem solving and solid software engineering to the algorithm development team. In this role, the successful individual will design and develop computer vision based applications for Cognex DataMan ID readers. These embedded systems are complex electronics with integrated optics, lighting and networking. Existing platforms include both handheld and fixed mount "smart camera" systems. Essential Functions: · Working with the ID Algorithm Team in a variety of software areas, including developing innovative vision algorithms, implementing lightweight custom GUI's, testing systems in custom environments, developing code to control lighting, etc. · Understand and communicate customer requirements in order to create a usable UI and to tune application & algorithms to meet specific needs. · Design and implement easy-to-use tools and applications to simplify device configuration and runtime-performance. · Possess ability to perform debug and troubleshooting tasks in a hardware and software environment. Knowledge, Skills, and Abilities: · Computer vision, signal or image processing and strong mathematical skills required. · Experience with deep learning based image analysis required. · Strong C programming skills required. · Experience with industrial applications of computer vision desired. · Embedded programming experience on DSP or ARM processors desired. · Strong debugging and problem solving skills. · A positive, 'glass half-full' personality who is always looking for areas of improvement · Creative, motivated, and looking to work hard for an aggressive growth company. Minimum education and work experience required: · Pursuing an MS or PhD from a top engineering school in EE, CS or equivalent We are an Equal Opportunity Employer. Protected Veterans and Individuals with Disabilities are encouraged to apply.

Posted on: 2017-05-25 08:19:53 UTC

Computer Vision & Machine Learning Engineer/Researcher, Self-Driving

Uber ATG|San Francisco, CA or Pittsburgh, PA

At ATG, we are ambitious, engaged and excited about transforming the way the world moves. With locations in Pittsburgh, San Francisco, and Toronto, the Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety. Our teams are passionate about developing long-term technologies that advance Uber’s mission of bringing safe, reliable transportation to everyone, everywhere. Our work doesn’t end with transporting people. We are also developing self-driving truck technology to move goods more safely and cost effectively around the world. We are working to make the process of moving people and goods safer and more efficient. Do you specialize in computer vision or perception? Uber needs you to join our team, creating the most advanced automotive technologies that we can dream up. We're taking on high precision mapping, automotive safety devices, and autonomy. Despite being a new division within the company, our team is comprised of world-renowned researchers with decades of experience. This is your chance to develop cutting-edge technology that will help change the future of transportation around the world! We are seeking engineers and researchers with experience in some of the following areas Machine learning (e.g., deep learning, reinforcement learning) Computer vision Perception algorithms (all types and flavors) Localization Mapping What you'll need A PhD, MS, or BS in machine learning, computer vision or robotics A strong quantitative background Excellent software development skills in one or more of C, C++, or Python Excellent presentation and communication skills Prior work in automotive applications is a plus! Perks Employees are given Uber credits every month. The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally. Smart, engaged co-workers. Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.

Posted on: 2017-05-20 03:22:17 UTC

Computer Vision Engineer

Pupil Labs |Berlin, Germany or Bangkok, Thailand

Pupil Labs builds state of the art open source software and accessible hardware for eye tracking. We are looking to hire a Computer Vision Engineer to our team to work as a full time contributor to Pupil - https://github.com/pupil-labs/pupil - You have a strong background in computer science and math and deep understanding of fundamental CV algorithms. You know the state of the art CV methods. You have expertise in one or more of the following areas: egocentric vision, scene understanding, object detection/recognition, SLAM, and eye tracking. You are fluent in C++ and Python. You are self-motivated and excited about pushing the boundaries of the state of the art. Contact us at jobs@pupil-labs.com

Posted on: 2017-05-18 09:02:10 UTC

Computer Vision Software Developer

Kitware|Clifton Park, NY or Carrboro, NC

Candidates will contribute their expertise by developing robust solutions for real-world data and actively working with industry and government agencies on a variety of vision-based projects. Projects include areas of video event and activity recognition, moving object detection and tracking, motion pattern learning and anomaly detection, functional object recognition, video compression, 3D reconstruction and other areas. Our efforts are sponsored by premier government R&D sponsors such as DARPA and AFRL, and include prime contracts as well as SBIRs and STTRs.

Posted on: 2017-05-18 09:01:24 UTC

Computer Vision Researcher

Kitware|Clifton Park, NY or Carrboro, NC

By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems. Your work will be instrumental to advancements in fields such as precision agriculture, infrastructure inspection, urban planning, emergency and disaster response, public safety management, and others. Researchers at Kitware enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work; participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and AVSS); and encouragement to seek funding to grow and develop their own research areas, if they desire. Kitware’s employees also enjoy unique opportunities to interact and collaborate directly with customers; visit unique and interesting customer sites; and participate in live field tests and demonstrations.

Posted on: 2017-05-18 09:00:59 UTC

3D Computer Vision Researcher

Kitware|Clifton Park, NY or Carrboro, NC

Kitware’s mission is to develop scientific computing research and open-source software that makes a difference in the global scientific community, national security and the public sector. Our efforts are sponsored by premier government R&D agencies such as DARPA, IARPA, and AFRL, and include prime contracts as well as SBIRs and STTRs. In addition, we have commercial efforts with leading technology companies. Project areas in 3D vision include feature detection, feature matching/tracking, structure from motion, camera calibration, bundle adjustment, multi-view stereo, and joint semantic and geometric reasoning. Current 3D projects have an emphasis on aerial and satellite imagery sources, and capabilities are often adapted to other problem domains. There are also opportunities to collaborate on broader computer vision topics including content-based indexing and retrieval, object detection and tracking, video event and activity recognition, object-based change detection, motion pattern learning and anomaly detection, functional object recognition, social media understanding, video compression, and super resolution, among others.

Posted on: 2017-05-18 09:00:32 UTC

Computer Vision and Machine Learning Engineer, Self Driving

Uber ATG|San Francisco, CA or Pittsburgh, PA

At ATG, we are ambitious, engaged and excited about transforming the way the world moves. With locations in Pittsburgh, San Francisco, and Toronto, the Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety. Our teams are passionate about developing long-term technologies that advance Uber’s mission of bringing safe, reliable transportation to everyone, everywhere. Our work doesn’t end with transporting people. We are also developing self-driving truck technology to move goods more safely and cost effectively around the world. We are working to make the process of moving people and goods safer and more efficient. Do you specialize in computer vision, sensor processing or perception systems development? Uber needs you to join our team, creating the most advanced automotive technologies that we can dream up. We're taking on high precision mapping, automotive safety devices, and autonomy. Despite being a new division within the company, our team is comprised of world-renowned researchers with decades of experience. This is your chance to develop cutting-edge technology that will help change the future of transportation around the world! We are seeking engineers with the following experience: Computer vision Radar sensor hardware & software development Lidar sensor hardware & software development Camera sensor hardware & software development Sensor firmware and low level signal processing Sensor calibration Perception algorithms (all types and flavors) What you'll need A PhD, MS, or BS in a robotics related discipline A strong quantitative background Excellent software development skills in one or more of C, C++, or Python Excellent presentation and communication skills Prior work in automotive applications is a plus! Perks Employees are given Uber credits every month. The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally. Smart, engaged co-workers. Benefits Gym reimbursement, paid company holidays. Full medical/dental/vision package to fit your needs. Generous vacation policy; work hard and take time when you need it. Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.

Posted on: 2017-05-18 08:59:23 UTC

Mapping, Localization, and Pose Engineer

Uber ATG|San Francisco, CA or Pittsburgh, PA

The Uber Advanced Technology Center is the Pittsburgh division of the elite Uber Engineering Team; a high-performance culture marked by fearlessness and hyper-productivity. We focus on the development of key long-term technologies that advance Uber’s mission of bringing safe, reliable transportation to everyone, everywhere. Our research is primarily in the areas of mapping, vehicle safety, and autonomy. Our team is comprised of world-renowned researchers with decades of experience and we’re looking for superstar engineers who can work harder, faster, and smarter without sacrificing technical excellence. As an Uber ATC team member, you'll have a direct impact on the innovation of cutting edge technologies. The work you will do will be tested and deployed on real systems, in real-world conditions. The experience you will gain will be unique and unmatched. Do you dream about improving transit on a global scale using your passion for science and engineering? Then you should apply to join our team. We are ambitious, engaged and excited about transforming the transportation industry across the world. We are moving real assets and real people. Our research will make this process safer and more efficient now and in the decades to come. Do you enjoy having your software make critical decisions rather than just “process” or “display”? Do you enjoy making software that alters the physical world? It isn’t for the faint of heart: there’s no margin for getting it wrong, no place for “top 10 answer is good enough” or where a 2nd best guess does the job. We need people unafraid of crafting cutting edge localization and pose estimation systems to produce highly reliable output, every time, in all conditions. To do that, UATC is looking to significantly expand its elite team. We need engineers at all levels, with specializations in developing new real-time registration, localization and pose estimation algorithms from a variety of sensor and inertial data, and/or production-quality software development, with the following attributes: Highly skilled in probabilistic filtering theory, or geometric computer vision, or inertial pose theory Extensive, demonstrable results in real-world applications Good experience and comfort programming in C++. Python skills are also desirable but not essential. Proven ability to produce computationally intensive software that must run and produce high quality results in real time Prior experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization, autonomy, networking, or user interfaces desired Here are the kinds of skills we're looking for: Fast learner. We’re looking for team members who thrive on applying their knowledge, learning new technologies and don’t believe in one-size-fits-all solutions. You should be able to adapt easily to meet the rapid pace of a rapidly evolving research, development, and testing environment. Fearlessness. You think a working proof-of-concept is the best way to make a point. You strive on proving that speed and quality are not conflicting; that you can achieve both at the same time. Versatility. In addition to having an intimate knowledge of core engineering fields, you understand how all the pieces fit together into integrated systems, and how they impact performance. Passion. You feel ownership over everything you ship; you'd never call code or design "released" until you’re confident it’s correct. You pride yourself on efficient monitoring, strong documentation, and proper test coverage. A team player. You believe that you can achieve more on a team — that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement. Design and business acumen. You understand requirements beyond the written word and how your technical contributions will influence the viability of future products. Whether you’re working on a software library used by other developers, a sensor to be retrofitted on a test vehicle, or a printed circuit to be mass produced, the other members of the team can depend on the quality of your work to rapidly advance our goals. PERKS: Employees are given Uber credits every month. The rare opportunity to change the world such that everyone around you is using the product you built. We’re not just another social web app, we’re moving real people and assets and reinventing transportation and logistics globally. Sharp, motivated co-workers in a fun office environment. BENEFITS (U.S.) 401(k) plan, gym reimbursement, paid company holidays and Uber credits. Full medical/dental/vision package to fit your needs. Unlimited vacation policy; work hard and take time when you need it. We're bringing Uber to every major city in the world. We need brains and passion to make it happen and to make it happen in style. Do you want to help develop the next generation mapping technology for Uber? We're looking for talented C++/python software engineers to help develop the next generation of tools to create 3D maps. Are you ready to help us build the future? We need engineers at all levels, with deep skills in any of the following areas: Production-quality software development Numerical or scientific computing Fast data structures for efficient spatial representation and querying Managing large data structures and implementing algorithms that operate efficiently with in-core and out-of-core configurations All candidates are expected to be strong C++ programmers used to operating on linux, with modern tool chains and development work practices. Candidates with GPGPU experience are also desired, as are candidates with GUI development experience (Qt, OpenGL). Experts in computer vision, lidar processing, or machine learning should apply to the related job postings at the same site. Be sure to check out the Uber Engineering Blog to learn more about the team. PERKS: Employees are given Uber credits every month. The rare opportunity to change the world such that everyone around you is using the product you built. We’re not just another social web app, we’re moving real people and assets and reinventing transportation and logistics globally. Sharp, motivated co-workers in a fun office environment.

Posted on: 2017-05-18 08:58:41 UTC

Computer Vision Localization Engineer

Uber ATG|San Francisco, CA or Pittsburgh, PA

At ATG, we are ambitious, engaged and excited about transforming the way the world moves. With locations in Pittsburgh, San Francisco, and Toronto, the Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety. Our teams are passionate about developing long-term technologies that advance Uber’s mission of bringing safe, reliable transportation to everyone, everywhere. Our work doesn’t end with transporting people. We are also developing self-driving truck technology to move goods more safely and cost effectively around the world. We are working to make the process of moving people and goods safer and more efficient. We're looking for talented engineers to help develop the next generation system for localization and mapping for Uber’s self-driving vehicles. We are a group of diverse researchers, engineers, and computer scientists who are motivated by the challenges of developing reliable, accurate, and scalable solutions across a wide range of operational scenarios. We are particularly interested in candidates with experience in SLAM, 3D reconstruction, and visual odometry, who have applied geometric computer vision techniques to real-world problems. What you'll need MS/PhD degree in Computer Science or related field Experience programming in C++ and Python Experience or familiarity with state of the art theory for visual SLAM, 3D reconstruction, bundle adjustment, and place recognition Prior experience in pose estimation, probabilistic filtering, and/or nonlinear optimization Numerical or scientific computing Consistent track record in implementing computationally expensive algorithms in commodity hardware Comfortable building in undefined and dynamic environments You are expected to be a strong C++ programmer experienced in operating on Linux, with modern tool chains and development work practices. Ability to lead small teams and work with a group of remote engineers Bonus points if Experience in self-driving technologies is a plus Inertial navigation experience Visual odometry experience Perks Employees are given Uber credits every month. The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally. Smart, engaged co-workers. Benefits 401(k) plan, gym reimbursement, ten paid company holidays. Full medical/dental/vision package to fit your needs. Unlimited vacation policy; work hard and take time when you need it. Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.

Posted on: 2017-05-18 08:58:04 UTC

Machine Learning Specialist, Self Driving

Uber ATG|San Francisco, CA or Pittsburgh, PA

At ATG, we are ambitious, engaged and excited about transforming the way the world moves. With locations in Pittsburgh, San Francisco, and Toronto, the Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety. Our teams are passionate about developing long-term technologies that advance Uber’s mission of bringing safe, reliable transportation to everyone, everywhere. Our work doesn’t end with transporting people. We are also developing self-driving truck technology to move goods more safely and cost effectively around the world. We are working to make the process of moving people and goods safer and more efficient. Do you dream about changing the world using your passion for science and engineering? Then you should apply to join our engineering team taking on machine learning challenges in the area of self-driving technology. The work you do at the ATG will be tested and deployed on real systems, in real-world conditions. The experience you gain as a member of the ATG team will be unique and exciting, we can promise you that! Machine learning areas of special interest include: Active learning and Bayesian optimization Anomaly detection Deep networks Distributed/parallel learning algorithms Image/video classification Learning control Predictive modeling What you'll need A degree in a machine learning related discipline -- positions are available at the PhD, MS, and BS levels A strong quantitative background Excellent software development skills in C/C++ and/or Python Knowledge of machine learning commensurate with education/experience level Excellent presentation and communication skills Perks Employees are given Uber credits every month. The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally. Smart, engaged co-workers. Benefits 401(k) plan, gym reimbursement, ten paid company holidays. Full medical/dental/vision package to fit your needs. Unlimited vacation policy; work hard and take time when you need it. Uber is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. Uber does not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law.

Posted on: 2017-05-18 08:57:05 UTC

Computer Vision Engineer

Argo AI|Pittsburgh, PA or Mountain View, CA

At Argo AI, we are working to transform the world of transportation by bringing fully autonomous self-driving cars safely into widespread use. We already have some of the world’s most experienced leaders in the field, with expertise ranging from complex robotics algorithms to production software development to sophisticated hardware design and production. We are looking for highly motivated, technically deep engineers and applied scientists to join our team and help us realize this vision. In particular, we are looking for candidates with sharpened skills that include: Strong theoretical and applied skills in all areas of computer vision and/or robotics perception applicable to robotic platforms. Computer Vision areas include: Structure-from-motion, calibration, pose estimation, scene reconstruction, (multi-view/motion) stereo, optical flow, image/point cloud registration and object tracking as well as more machine learning oriented areas such as object detection, place recognition, scene understanding/interpretation among others. Robotics perception areas overlap these and include: Object detection, large scale SLAM/localization, visual/lidar inertial pose estimation, probabilistic filtering and state estimation, ground surface estimation, terrain classification, place recognition among others. Preference for technically deep candidates that know a diversity of algorithmic approaches and can apply and extend them flexibly with an eye towards pragmatically choosing the best performing algorithm based on data for the problem at hand. Strong software skills are required but we are language agnostic. A willingness to gain stronger software engineering knowledge and deep expertise in C++ and/or python is required. Strong presentation and communication skills are desired. Education: A Master's degree or equivalent experience is required for this position. Location: Pittsburgh, PA or Mountain View, CA At Argo AI, we have a strong emphasis on creating a highly effective team environment. Thus, we seek candidates that can work effectively with others in small project teams while pursuing broad individual technical scope. Please feel free to reach out to rvisser@argo.ai or visit www.argo.ai/careers for more information.

Posted on: 2017-05-16 03:03:39 UTC

Machine Learning Engineer

Argo AI|Pittsburgh, PA or Mountain View, CA

Posted on: 2017-05-16 02:53:35 UTC

Scientist: 3D Computer Vision

Honda Research Institute USA|Mountain View, CA

Posted on: 2017-05-15 05:14:20 UTC

Scientist: Video/Multimodal Data Analytics

Honda Research Institute USA|Mountain View, CA

Posted on: 2017-05-15 05:13:42 UTC

Research Engineer: Computer Vision/Multimodal Systems

Honda Research Institute USA|Mountain View, CA

Posted on: 2017-05-15 05:13:09 UTC

Scientist: Driver Situational Awareness Understanding

Honda Research Institute USA|Mountain View, CA

The position focuses on applying machine learning and decision support to analyze and enhance driver situational awareness for next generation advanced driver assistance systems. Key responsibilities: Participate in ideation, formulation, and definition of the situational awareness problem in the driving scene domain. Develop computational models of driver gaze behavior. Develop algorithms for spatial and temporal model of traffic scene saliency with objects, semantics, and low-level cues. Develop and evaluate metrics to verify the reliability of the proposed algorithms. Conduct user experiments using our advanced test vehicles equipped with cameras, LiDAR, CAN-bus, and driver monitoring sensors. Participate in sensor calibration/synchronization, data collection and data management. Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value. Qualifications: PhD in computer science, electrical engineering, or related field. Research experience in machine learning, computer vision and driver behavioral analytics. Research experience in temporal modeling preferred. Experience in Deep Learning frameworks such as TensorFlow, Caffe or related tools preferred. Hands on experience with human monitoring devices such as eye tracking systems preferred. Experience in Robot Operating System (ROS) preferred. Highly proficient in software engineering using C++ and Python. Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents. Strong publication record in the areas of computer vision, machine learning, and human-machine interaction.

Posted on: 2017-05-15 05:12:15 UTC

Research Scientist in Honda Research Institute USA

Honda Research Institute USA|Mountain View, California

Honda Research Institute USA (HRI-US) in Mountain View, CA is seeking talented scientists and engineers with expertise in artificial intelligence, machine learning, or computer vision to support our activities in areas including intelligent vehicles, robotics, and smart manufacturing. We envision a future in which intelligent systems will assist, rather than replace, humans in complex daily situations. Toward accomplishing this goal, it is important for such systems to grow and work cooperatively together with humans to enhance people's joy and productivity. The successful candidates will focus on developing intelligent technologies that realize such a goal through human cooperation and interaction. Key Responsibilities: This position requires technically adept, self directed, and motivated individuals who will work with the technical staff at HRI-US and global Honda with responsibilities that include: Propose and conduct research on core technologies related to intelligent systems that involve human cooperation. Participate in ideation, creation, and evaluation of technologies. Contribute to a portfolio of patents, academic publications and prototypes to demonstrate research value Qualifications: PhD in Computer Science, Electrical Engineering, or equivalent field. Strong familiarity with machine learning, particularly in deep learning, convolutional neural networks, or reinforcement learning. Familiarity and interest in human interaction technologies. Experience with hardware and sensor systems. Strong programming skills in one or more of the following: C/C++, Python, Java. Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents. Strong publication record in the areas of AI, machine learning or computer vision.

Posted on: 2017-05-14 17:22:15 UTC

2 PhD Positions

University of Bern|Bern, Switzerland

We have an opening for 2 PhD positions at the computer vision group at the University of Bern in machine learning and computer vision, with a focus on detection and classification in images and videos. Research topics for this position may include, but are not limited to, unsupervised and semi-supervised learning methods, representation learning, and 3D object reconstruction. We are looking for a highly motivated candidate, who is eager to get involved in cutting edge, creative research. You hold a Master of Science in computer science, mathematics or engineering, with a solid background in computer vision and machine learning. You have excellent skills in applied mathematics, in probability theory, and a programming language (e.g., Python, C/C++). Experience in OpenCL, CUDA/GPU programming are a plus. We expect fluent communication skills in English. The salary is very competitive: around 50,000 CHF/year (1CHF is about 1USD).

Posted on: 2017-05-14 13:33:57 UTC

Senior Geometric Vision Researcher

TuSimple|San Diego, CA 92122

Responsibility · Research, design and implement algorithms on topics such as: SLAM, SfM, visual odometry, stereo vision on detection, tracking, recognition, multiple view geometry. · Understand and analyze the interplay between hardware, software, and media processing algorithms. · Collaborate with a diverse set of teams across the company, spanning software, research, engineering, and product groups. Qualifications · PhD or MS in related academic program or equivalent practical experience · Strong grasp in large-scale optimization, numerical linear algebra, probabilistic inference · Excellent programming experience in AT LEAST ONE of the following languages: · C, C++, Python · Excellent communication skills Bonus Points · Related experience in autonomous driving at least 1 year or above · Experience in 3D vision, stereo vision, robotics vision · Published at top tier journals/conferences in CV/ML

Posted on: 2017-05-14 04:29:40 UTC

Senior Deep Learning Scientist

TuSimple|San Diego, CA92122

Key responsibilities · Lead cutting-edge research in deep learning. · Build solutions for real-world problems in autonomous driving. · Collaborate with other teams. Understand their requirements and underlying assumptions. Qualifications · Ph.D. in computer vision, natural language processing, pattern analysis, machine learning, or related fields. · Strong publications at conferences such as CVPR, ICCV, NIPS, ICML, ACL, etc. · Ability to design and execute research agenda

Posted on: 2017-05-14 04:28:58 UTC

Senior Camera & Low-level Vision Engineer

TuSimple|San Diego, CA92122

Job Description · We are seeking a talented research engineer with experience in robotics and computer vision. Join the mapping team to help build high-precision 3D maps for autonomous driving from a variety of sensor data inputs. The responsibilities of this role are: · Design and implement mapping algorithms based on LiDAR, vision, GPS, and IMU data. · Research on topics such as: 3D computer vision, point cloud processing, multiple view geometry, and sensor calibration. · Implement novel technologies as a part of an agile team. Qualifications · PhD or MS in related academic program or equivalent practical experience. · At least 2 years of research experience (excluding course project) in lidar point cloud processing or computer vision. · At least one year experience with SLAM. · Proficiency with C++ or Python. Bonus Points · Related experience in autonomous driving · Experience in ROS, PCL, OpenCV, Ceres Solver · Experience in deep learning (MXNet preferred) · Proficiency with Linux · Strong publication record

Posted on: 2017-05-14 04:28:08 UTC

Senior Machine Learning Scientist

TuSimple|San Diego, CA92122

Description: Key responsibilities · Formulate ill-defined problems in perception and localization for autonomous driving, with input from various sensors, or output of other algorithms. · Build solutions for online algorithms that run in real-time of an autonomous vehicle, and offline algorithms that apply to massive pre-recorded sensory data. · Collaborate with other teams. Understand their requirements and underlying assumptions. · Lead a team of junior research engineers. Qualifications · Ph.D. in computer vision, pattern analysis, machine learning, or related fields. · First-authored in top-tier conferences such as NIPS, ICML, UAI, KDD, CVPR, ICCV, ECCV, ICLR, WWW, SIGIR, ACL, or journals such as JMLR and TPAMI. · Hands-on research experience in processing large scale image/video data. Link:https://tusimple.breezy.hr/

Posted on: 2017-05-14 04:27:27 UTC

Senior Motion Planning Engineer

TuSimple|San Diego, CA92122

Responsibilities · Design and implement on-road trajectory planning algorithm · Participate in cutting edge research in machine intelligence and machine learning applications · Develop solutions for real world, large scale problems Qualifications · 4+ years of experiences in planning and/or control systems in mobile robotics · Excellent programming experience in AT LEAST ONE of the following languages: · C, C++, Python · Solid understanding on RRT, lattice-based planners, probabilistic robotics, and/or numerical optimization · Publications in top conferences/journals in a related field or equivalent experences · PhD or MS in related academic program Link:https://tusimple.breezy.hr/

Posted on: 2017-05-14 04:26:54 UTC

Senior Software Engineer

TuSimple|San DIego, CA92122

Responsibility：Development & prototype computer vision algorithms and system to solve image problems. E.g. Build and measurement stereo system; Integration of algorithms into native code and optimized for platforms; Verification of third party algorithms and camera systems; Camera modeling and simulation; Camera image quality verification and benchmarking Qualifications：PhD or MS in related academic program or equivalent practical experience; Enjoy working on projects that span all levels of the autonomy stack, from low level infrastructure, to perception, vehicle controls, and simulation.; Strong grasp in ROS and / or robotics systems, .; Have superior skills in triaging, isolating, documenting, and tracking issues systematically.; Excellent programming experience in AT LEAST ONE of the following languages:; C, C++, Python; Excellent communication skills; Related experience in software infrastructure at least 1 year or above Bonus Points：Experience in robotics systems; Have familiarity with sensing equipment, such as LiDAR, radar, or cameras.; Algorithms and programming competition winners Link: https://tusimple.breezy.hr/

Posted on: 2017-05-12 05:41:52 UTC

Senior Vehicle Control Engineer

TuSimple|San DIego, CA92122

Responsibility：Design and implement the core algorithms in autonomous vehicle control； Design and test vehicle dynamic models； Integrate and test the autonomous vehicle system Qualifications： 3+ years of experience on vehicle control；Deep understanding on control theory and vehicle dynamic；Experiences in automobile engineering including tire model, powertrain of vehicle, K&C characteristic, etc.； Strong background in control system design, signal processing, dynamic system modeling, and the experiences in applying these disciplines to real-world systems；Familiar with dynamic system modeling and the methodologies in parameter estimation；PhD or MS in a related academic program Bonus Points： Experiences in the development in the vehicle control system (CC, ACC, ESC, EPS) Link: https://tusimple.breezy.hr/

Posted on: 2017-05-12 05:41:25 UTC

Autonomous Driving Perception Research Engineer

TuSimple|San DIego, CA92122

As a research engineer, you will utilize your expertise in the field of robotics, computer vision, deep learning and AI to some of the most challenging problems in autonomous driving. Working at TuSimple, you will innovate with engineers at the top of their fields in sensor fusion and machine learning. You will be creating new technologies through software development that integrate your expertise in these areas to enable the vehicle to accurately perceive and react to its surrounding environment. You will write algorithms to evaluate, design and implement algorithms to test the vehicle based on sensor perception, avoiding obstacles such as pedestrians and cars. Link:https://tusimple.breezy.hr/

Posted on: 2017-05-12 05:40:32 UTC

Autonomous Driving Mapping Research Engineer

TuSimple|San DIego, CA92122

We are seeking a talented research engineer with experience in robotics and computer vision. Join the mapping team to help build high-precision 3D maps for autonomous driving from a variety of sensor data inputs. The responsibilities of this role are: · Design and implement mapping algorithms based on LiDAR, vision, GPS, and IMU data. · Research on topics such as: 3D computer vision, point cloud processing, multiple view geometry, and sensor calibration. · Implement novel technologies as a part of an agile team. Link: https://tusimple.breezy.hr/

Posted on: 2017-05-12 05:39:53 UTC

Research Engineer in Computer Vision/Deep Learning

Research Engineer in Computer Vision/Deep Learning|Samsung Research America

Samsung Research America (SRA), located in Mountain View, CA, is looking for an outstanding and highly self-motivated research engineer. We are looking for candidates with expertise in computer vision and deep Learning, with research experience in the following areas: large-scale visual recognition and detection, object tracking, video understanding, deep learning, deep model compression, facial analysis (recognition, expression, attributes perception), and video summarization. The candidate will work with a team of research scientists and engineers tackling real-world problems involving Samsung’s Artificial intelligence products. The candidate can also have the opportunity to publish at top-tier conferences in computer vision and deep learning. As a research engineer, you will be involved in very promising team projects with talented people at Samsung. You will benefit a lot by working in a fun and creative environment. The AI research center is a key part of Samsung’s global R&D effort and aims to have direct impact on future Samsung products reaching hundreds of millions of users worldwide. Requirements: - Currently enrolled in Master or PhD (preferred) program with focus on computer vision and deep learning or related fields. - Experience with various libraries and platforms in computer vision, deep learning, and machine learning. - Strong algorithmic problem solving skills, and the ability to implement solutions in C/C++, Python, Java, etc. - Experience in Android development and graphic rendering is a plus. - Experiences in publishing scientific papers in top quality conferences/journals (CVPR, ICCV, ECCV, WACV, FG, BMVC, NIPS, ICML, AAAI, IJCAI, etc.) is a plus. - Experience working with GPUs and parallel programming (HPC and/or big-data platforms) is a plus - Experience in DL library such as Caffe, TensorFlow, Torch, etc. with strong hands on experience in at least one (preferably two) of them is required. - Ability to work as a team, motivation for international collaboration, strong communication skills, self-motivated, proactive, flexible and passionate about learning - Ability to work well in a fast-paced team environment and self-motivated. Samsung Research America is an Equal Employment Opportunity Employer.

Posted on: 2017-05-11 05:55:56 UTC

Job Offer at the Faculty of Computer Science at TU Dresden

TU Dresden|German

The Institute of Software and Multimedia Technology, Chair of Computer Graphics and Visualization invites applications for a Research Associate (Subject to personal qualification employees are remunerated according to salary group E 13 TV-L) The position is to be filled as soon as possible and will be offered untill 31st of March 2019. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the chance for further academic qualification (e.g. PhD). Tasks: The position comes with a teaching load according to DAVOHS. Research focuses on Computer Graphics and Visualization within the interdisciplinary research project “fast haptic”. The main task of the project is the development of a novel display which combines a 3d display and a tactile display. With this new display it will be possible to see virtual objects stereoscopically and at the same time feel them with your fingers. The task of our Chair is to develop a tracking approach for hands and fingers. For this, different sensors will be combined in a way to maximize precision close to the tactile display. Within your work you will design, build and calibrate the sensor setup. Furthermore, you will implement a tracking method that exploits fused sensor data. Requirements: excellent university degree (Master or equivalent) in the field of Computer Science, Electrical Engineering, Mechatronics or similar fields; ability to work independently and target-oriented in a team; high commitment; fluent in English language to write excellent papers and to participate in international conferences; interest in practice-oriented and interdisciplinary cooperation with partners. Knowledge in usage and calibration of sensors as well as in the implementation with C++ and of GPUs is a plus. We offer: a diversified, topical and challenging research position with your own scope for design in an interdisciplinary team of young researchers, participation in conferences for research exchange, excellent contacts to partners from research and industry, independent organization of the research work. Applications from women are particularly welcome. The same applies to people with disabilities. Applications including CV, a short summary of Master thesis and a statement of research interest should be sent until 30.05.2017 (stamped arrival date of the university central mail service applies) as single pdf-document via e-mail in an electronically signed and encrypted form to stefan.gumhold@tu-dresden.de or to TU Dresden, Fakultät Informatik, Institut für Software- und Multimediatechnik, Professur für Computergraphik und Visualisierung, Herrn Prof. Dr. Stefan Gumhold, 01062 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

Posted on: 2017-05-10 13:41:52 UTC

Senior Research Scientist, Computer Vision/Video Analytics

United Technologies Research Center (UTRC)|Cork, Ireland

United Technologies Research Center (UTRC) delivers advanced technologies to the businesses of United Technologies Corporation (UTC). UTC is a diversified company that provides a broad range of high-technology products and services to the global aerospace and building systems industries. Its commercial business – UTC Building & Industrial Systems – comprises Otis elevators and escalators as well as UTC Climate, Controls & Security, a leading provider of heating, ventilation, air conditioning, fire and security systems, and building automation and controls. The company’s aerospace businesses include Pratt & Whitney aircraft engines and UTC Aerospace Systems aerospace products. UTRC engages with UTC business units and external research organizations globally to pursue research and develop innovative technologies that meet/anticipate marketplace needs. Founded in 1929, UTRC is headquartered in East Hartford, Connecticut (U.S.), with an office in Berkeley, California, and research and development centers in Shanghai, China and Cork, Ireland. United Technologies Research Centre Ireland, Ltd. (UTRCI), established in 2009, conducts research into the next generation of energy and security systems for high-performance buildings, generating world-class technologies for UTC’s commercial businesses worldwide. Recently, UTRC Ireland added aerospace systems research to its portfolio to support UTC’s large industrial presence in Europe. UTRCI invites qualified individuals to apply for the following position in its Cork office. A competitive compensation and benefits package will be provided to the successful candidates. Learn more @ www.utrc.utc.com Job responsibilities UTRCI has an opening for a Senior Research Scientist in the area of Computer Vision and Video Analytics. Successful candidates should demonstrate outstanding track records in 3 or more of the following fields: object detection and tracking, object recognition, scene recognition, human action / activity / event recognition, content-based indexing and retrieval and Simultaneous Localization and Mapping (SLAM). In addition to the technical contribution, the candidate is expected to interact with United Technologies Corporation (UTC) business units to provide technical expertise in existing programs, contribute towards business development through Irish and European grant acquisition, and contribute to the definition of technical strategy. The candidate must be able to work effectively in a multidisciplinary, multinational team environment focused on innovation and be able to partner with leading institutions (university, government agencies, national labs, and professional organizations) to meet organizational objectives and will have exceptional communication skills. Additionally, the successful candidate will be expected to: · Develop and execute technology research plans to successfully achieve desired technical outcomes within time and budget constraints. · Assist in developing proposals for externally-funded research in the area of security and aerospace applications, including collaboration with external partners such as companies, national labs and universities. · Demonstrate excellent communication skills and provide timely, accurate reports and presentations to senior management and functional teams. · Contribute concepts to technology roadmaps in areas related to computer vision and visual surveillance, helping expand the portfolio of technology maturation projects. · Contribute to the development of integrated solutions for UTC business units, focusing on creative solutions in computer vision and video surveillance problems. · Contribute to business development through Irish local and European grant acquisition and contribute to the setting of strategic technical agenda · Author technical papers, and engage in relevant technical communities. Educational Requirements M.S. degree in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field with 5+ years of industrial or academic experience (post M.S.). Ph.D. degree in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field, plus 2+ years of industrial or academic experience after completion of the Ph.D. in disciplines as outlined above. Essential Experience/Qualifications · Expert knowledge and a minimum of 3 years (5 years for M.S) of industrial or academic experience in at least three of the following computer vision/pattern recognition fields: object classification, detection and tracking; object recognition; activity and event recognition; content-based indexing and retrieval, SLAM. · Demonstrated ability to work within multi-disciplinary teams to successfully achieve desired technical outcomes within time and budget constraints. · Demonstrated ability to write proposals and win external funding/contracts/grants. · Record of technical contributions, including patents and publications in refereed technical journals and major conferences in computer vision. · Proven success in innovative strategic and technical thinking, willingness to champion and investigate new technical ideas, and experience in applying work to real-world applications. · Excellent communication skills, innovative strategic and technical thinker, high energy and team player. · Willingness to go beyond the original field of expertise. · Software skills: C/C++, MATLAB, OpenCV and Python. Desired Skills · Experience in robotics applications, including indoor or aerial environments · Familiarity with video-based forensic analysis, including machine-based reasoning and chain‑of‑evidence management · Experience in High-Performance Computing (HPC), including hardware-based acceleration using GPU technology, parallel and distributed computing and heterogeneous computing. · Experience in Embedded Computer Vision · Experience with CUDA, OpenCL, OpenMP, DirectX and OpenGL. · Experience with Deep Learning techniques and tools, especially in Computer Vision domains. · Expertise in pattern recognition and machine learning techniques: unsupervised, and supervised learning, stochastic optimization (simulated annealing, gradient descent, etc.), dimensionality reduction, feature selection, etc. · Fusion of different modalities (e.g., optical, depth, radar, etc.). · Signal processing. Additional Comments This position is based at UTRC’s European hub in Cork, Ireland. To be eligible to apply, candidates must be legally entitled to work and reside in Ireland. Candidates can apply online at: http://www.utrc.utc.com/ by selecting the “Careers”, then “Job Postings (International)”, and then UTRCI Research Scientist, Computer Vision and Visual Surveillance Enquiries can be sent to Dr. Jaume Amores at amoresj@utrc.utc.com or Dr. Antonio Penta at pentaa@utrc.utc.com Link: http://www.utrc.utc.com Contact email: AmoresJ@utrc.utc.com

Posted on: 2017-05-09 13:46:05 UTC

Post Doc positions in Deep Learning at the Computer Vision Center Barcelona

Computer Vision Center |Barcelona

We are seeking a post-doc on Deep Learning in the Computer Vision Center. The postdoc will be involved both in knowledge transfer projects with commercial partners as well as in purely scientific projects. The candidate should possess a PhD in computer vision or machine learning. We especially encourage candidates with experience in Deep Learning to apply, but other backgrounds in machine learning will also be considered. They should work well in a team, while demonstrating initiative and independence, and willing to supervise PhD students. The position is at the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. For further information please contact Joost van de Weijer (joost@cvc.uab.es). The position is available as of now, and will be closed when filled.

Posted on: 2017-05-08 13:31:14 UTC

Funded PhD position at ETS

U. of Quebec|Canada

Deep Learning Architectures Face Recognition in Video Surveillance Applications are invited for a funded PhD position in machine learning at the École de technologie supérieure (ETS), U. of Quebec, Montreal, Canada. The candidate will work under the supervision of Profs. Eric Granger and Ismail Ben Ayed in the Laboratory for Imaging, Vision and Artificial Intelligence (LIVIA, see link below). The position is available immediately after the candidate passes ETS application requirements. Financial support is available for the project’s duration (maximum of 3-4 years). We are looking for highly motivated doctoral students, who are interested in performing cutting-edge research in spatio-temporal face recognition for video surveillance applications, with a particular focus on deep learning (e.g, CNN and LSTM) architectures, information fusion and domain adaptation. Prospective applicants should have: • Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics, or electrical engineering, preferably with expertise in one or more of the following areas: machine learning, neural networks, computer vision and face recognition; • A good mathematical background; • Good programming skills in languages such as C, C++, Python and/or MATLAB. A prior publication in one of the major conferences or journals in computer vision/machine learning is not necessary but would be a very desirable. Application process: For consideration, please send a resume, names and contact details of two references, transcripts for undergraduate and graduate studies, and a link to a Masters thesis (as well as relevant publications if any) to Eric Granger (Eric.Granger@etsmtl.ca) Ben Ayed, Ismail (Ismail.BenAyed@etsmtl.ca) Laboratory for Imaging, Vision and Artificial Intelligence (LIVIA): http://www.etsmtl.ca/Unites-de-recherche/LIVIA/accueil?lang=en-CA

Posted on: 2017-05-08 07:11:55 UTC

Researchers in Deep Learning, Face Recognition and Tracking

Anyvision|Belfast, UK

As part of a strategic expansion in research, Anyvision is now recruiting excellent researchers. We are looking for high calibre individuals to work on the creation and deployment of face recognition and human behaviour analysis algorithms. Candidates who have a PhD in or machine learning (especially deep learning), computer vision and estimation/tracking from leading research universities will be considered. A strong publication record arising from your research is essential. A track record of post doctoral research showing the ability to lead research, is desirable, however we will also consider candidates with a demonstrable record of leading research in industry. Excellent communication skills and a willingness to travel are integral requirements for all posts. The overall compensation package is highly competitive including a very attractive base salary (depending on experience) plus potential for employee stock options. Key technical skills we are looking for include some or all of the following: Experience in machine learning, especially deep learning Excellent coding skills e.g. C++/Python Expertise in algorithm implementation and acceleration (GPU and/or FPGA) Experience of real-time deployment of complex vision algorithms in a commercial or industrial setting. About our projects Anyvision is becoming a world-leader in advanced real-time face recognition from big data. We are seeking solutions to extremely challenging scenarios such as low-resolution, poor lighting, unpredictable behaviour, highly variant pose and occlusions. The resulting algorithms will be deployed in many situations ranging from authentication, surveillance, security and social settings. About the team Founded in 2014, achieving significant commercial success in 2016 and expanding rapidly into Singapore in 2017, Anyvision has headquarters in Israel, an R&D centre in the UK and sales staff all over the world. You will work alongside leading experts, reporting to Prof. Neil Robertson (CTO, Anyvision). A vibrant and fast-growing research team is based in the UK. To discuss these positions, please contact: Professor Neil Robertson, neil@anyvision.co.uk.

Posted on: 2017-05-06 12:57:24 UTC

Re-identification of people in wide area camera networks

Queen's University Belfast|Anyvision, Belfast, UK

In this PhD project we aim to build a novel end-to-end deep neural network in order to address the full body person re-identification problem under an unconstrained real-world scenario. A potential framework consists in combining a detection net and a siamese-like net together in a unified end-to- end approach. To our best knowledge, this framework has never been used in other papers, probably due to the difference between the input cardinality of these two nets. We will aim to overcome some of the limitations present in other end-to-end frameworks for “person search” where the use of a heavy and too deep faster R-CNN for generic target detection prevents the use of a more effective re-id CNN for feature extraction. Also, we propose to extend the learning process beyond the feature extraction stage instead of performing a simple feature vectors comparison by the normalised Euclidean distance. Studentship/Scholarship: local/oversea tuition fees + around 20,000 GBP/year stipend Contact: Prof. Neil Robertson, email: N.Robertson@qub.ac.uk

Posted on: 2017-05-06 12:53:40 UTC

Deep Learning of Infra Red Data for Target Classification

Queen's University Belfast|Anyvision, Belfast, UK

The aim of this project is to learn improved and more efficient deeply learned classifiers from thermal, infra-red and multi-modal data. The project will use data from Anyvision and its partners and the goal is to develop new algorithms which are suitable for deployment on real-world sensors. Studentship/Scholarship: local/oversea tuition fees + around 20,000 GBP/year stipend Contact: Prof. Neil Robertson, email: N.Robertson@qub.ac.uk

Posted on: 2017-05-06 12:52:26 UTC

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging)

12 Sigma Technologies|San Diego, CA

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging) Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies （图玛深维）is a well-funded start-up company focused in applying artificial intelligent and deep learning into modern medical image diagnosis and medical data analysis. We also have R&D teams in Beijing and Suzhou, China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits and visa sponsorship. http://www.12sigma.cn/en/ http://www.12sigma.cn/ Job Location: San Diego Job Titles: · Research Scientist with all levels of experience Job Responsibilities: · Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. · Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. Job Qualifications · PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience · Strong expertise in computer vision and machine learning, with solid understanding of neural networks and the underlying math · Publications at top conferences and journals, or successful industry experience · Extensive experience in designing deep convolutional neural networks using Caffe or similar platforms (TensorFlow, Theano, MxNet, etc.) · Proficient programing skills in C/C++ and Matlab, experience with ITK preferred · Excellent communication and presentation skills · Ability to work efficiently both as an individual and as a team member in a fast-pace working environment · Ability to quickly learn new skills and knowledge Send application to career@12sigmamedicalimaging.com Link or contact email: career@12sigmamedicalimaging.com

Posted on: 2017-05-06 02:43:49 UTC

Senior Software Engineer / Software Engineer

12 Sigma Technologies|San Diego, CA

Senior Software Engineer / Software Engineer Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies（图玛深维）is a well-funded start-up company focused in applying artificial intelligence and deep learning into modern medical image diagnosis and medical data analysis. We also have R&D teams in Beijing and Suzhou, China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits and H1-B visa sponsorship. http://www.12sigma.cn/en/ http://www.12sigma.cn/ Job Location: San Diego Job Titles: · Software Engineer with all levels of experience Job Responsibilities: · Design and develop state-of-the-art computer vision and deep learning-based CAD software for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. · Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. · Develop, maintain, and upgrade current diagnosis software system, locate and debug software defects in a timely manner. · Write high-level and low-level system design documents Job Qualifications · MS in CS/CE/EE or related fields, or BS with 2+ years of software development experience · 2+ years of C/C++ programming, 2+ years of software design experience, familiarity with software development cycle · Proficiency in Visual Studio and MFC programming. Familiarity with virtual machine, parallel programming, Windows and Linux programming. · Proficiency in scripts languages such as Python, Java, experience with ITK/VTK preferred · Experience in computer vision, machine learning, image analysis, and medical software preferred · Familiarity with network protocols such as Soap and RESTful. Experiences in cross-platform API design and implementation preferred · Excellent communication and presentation skills · Ability to work efficiently both as an individual and as a team member in a fast-pace working environment · Ability to quickly learn new skills and knowledge Send application to career@12sigmamedicalimaging.com Link or contact email: career@12sigmamedicalimaging.com

Posted on: 2017-05-06 02:43:11 UTC

Computational Image Analysis Core Manager

St. Jude Children’s Research Hospital|Memphis, TN

Computational Image Analysis Core Manager St. Jude Children’s Research Hospital Department of Neurobiology At St. Jude Children’s Research Hospital, we know what can be achieved when the brightest scientific minds face the fewest barriers. That’s why we provide world-class facilities. State-of-the-art technologies. Extraordinary support. And a collaborative, bench-to-bedside environment where you can see, firsthand, how your science translates into survival for the children we serve. Quite simply, at St. Jude, we give you everything you need to be the force behind the cures. The world-renowned investigators in the St. Jude Department of Developmental Neurobiology seek an Image Analysis Core Manager to manage research and development of computational approaches to analyze microscopy images at large scales and high throughput. If you have proven experience in computer vision, image processing, machine learning, and imagery data mining, then this is a unique opportunity for you to lead efforts to design novel algorithms that will enable our scientists to understand vital biological processes and make a difference in pediatric cancer research. In this role, you’ll collaborate with some of the world’s greatest scientific minds and contribute to studies aimed at understanding brain development and the pathophysiological basis of brain tumors using breakthrough imaging technologies, including the newly developed Lattice Light Sheet Microscope. The Image Analysis Core Manager will be responsible to: • Perform computational image analysis using extant software packages and custom designed algorithms to visualize and quantitate biologically relevant metrics. Projects include neuronal progenitor/cancer stem cell biology, cell motility/metastasis, epigenetics/chromatin organization, cell polarity, and synapse function. • Collaborate with an external software development team in the Oak Ridge National Laboratory Imaging, Signals and Machine Learning R&D group to research and design machine-learning based computational approaches to meet the needs of rapidly evolving research. • Curate, store, update, and share bioimaging analysis software packages or custom developed algorithms. • Serve as liaison with St. Jude Computational Biology and Information Sciences Departments to facilitate the efforts in these areas. • Train and support user-directed operation of computational tools when necessary. Qualifications include: • Ph.D. in Computer Science, Electrical Engineering, or related field (required) • A minimum of three (3) years of experience in computing or statistical data analysis that includes programming experience in MATLAB • Experience using Imaris, Amira, ImageJ or Fiji programs and operating within a Linux system is preferred • Experience with microscopy preferred but not essential. Duties may include assisting with experimental design or data acquisition if there are sufficient hands-on experience with microscopy hardware Ideal candidates will possess: • Awareness of, and commitment to, the St. Jude mission • Natural leadership skills • A passion for collaboration • Ability to work in a rapidly-changing environment St. Jude is based in Memphis, TN with relocation assistance available if needed. Memphis is a family-friendly metropolitan area that more than one million people call home. Memphis is recognized for its world-class music, food and hospitality. Cost of living is one of the biggest attractions; in fact Money listed Memphis as one of the least expensive cities in which to raise a child. Mild winters and beautiful green spaces are part of the reasons why Forbes recently named Memphis the 4th happiest city in which to work. Apply now at: http://bit.ly/2lDKWKN St. Jude Children’s Research Hospital is an Equal Opportunity Employer. St. Jude does not discriminate on the basis of race, national origin, sex, genetic information, age, religion, disability, sexual orientation, gender identity, transgender status, veteran’s status or disabled veteran’s status with respect to employment opportunities. All qualified applicants will be considered for employment. St. Jude engages in affirmative action to increase employment opportunities for minorities, women, veterans and individuals with disabilities.

Posted on: 2017-05-03 02:22:40 UTC

PhD Research Position at the University of Kansas

University of Kansas|Lawrence, Kansas, USA

The Computer Vision Group at the University of Kansas (KU) is looking for PhD candidates in 2017 and 2018. The research group is affiliated to the Department of Electrical Engineering and Computer Science (EECS) and the Information and Telecommunication Technology Center (ITTC), one of the largest research centers at the mid-west, with extensive resources and state-of-the-art facilities supporting various multidisciplinary inquiries. KU is a one of the prestigious public research universities in the United States, it is located at Lawrence, which was named one of America's 10 best college towns. Interested candidates please contact Prof. Richard Wang via email at ghwang@ku.edu. Highly competitive stipends for tuition and living expenses are available to qualified candidates.

Posted on: 2017-04-30 02:58:07 UTC

Quantitative Researcher in Deep Learning

Man AHL|London, UK

At Man AHL we mix mathematics, computer science, statistics and engineering with terabytes of data to understand and predict financial markets. We are led by research and technology, building models and writing programs that invest more than $20 billion every day. Our Machine Learning group is expanding and we are looking for an experienced Deep Learning Researcher. You will be joining a small, cross-disciplinary team and work alongside colleagues from varied backgrounds including Deep Learning, Computational Neuroscience, Applied Statistics, and Computer Science at the Man AHL Centre of Excellence in Machine Learning, which is co-located with the Oxford-Man Institute of Quantitative Finance at the University of Oxford. We are looking for someone with: · A doctorate and substantial deep learning research experience in an area such as computer vision, natural language processing or generic machine learning · Practical, “hands-on” experience in one or more deep learning technologies such as CNNs, RNNs, and LSTMs · Excellent programming, scripting and scientific computing skills (ideally in Python) · Broad expertise, pragmatism and open-mindedness · Excellent communication skills and enjoyment of collaborating to solve practical problems · A passion for understanding financial markets through empirical data analysis and modelling You will help to build the trading systems of the future by discovering and modelling predictable structure in vast collections of financial market and related data. Your responsibilities will include: Research and analysis of extensive and varied data sets from both global financial markets and non-financial market sources; developing robust forecasting models using a portfolio of machine learning and other signal processing, statistical and econometric techniques; applying these in the development and implementation of new trading, execution, risk management and portfolio construction applications. About us We are a small flat-structured company with a no-attitude feel, and you will have plenty of opportunity to grow and have enormous impact on what we do. Our models manage over $20 billion of investor capital and we have a 30-year track record of outstanding performance. Our culture is open and transparent and we are actively engaged with the broader machine learning community. · We host and sponsor London's Machine Learning (goo.gl/15GHkS) and PyData (goo.gl/yNtppX) Meetups. · We attend and sponsor NIPS and ICML. · We open-source technology (goo.gl/i5EPCw). · We publish papers (goo.gl/Z7TCqn). · Our Oxford office is co-located with the Oxford-Man Institute of Quantitative Finance (goo.gl/DwNVDT) and the Machine Learning Research Group at the Department of Engineering Science, University of Oxford (goo.gl/9wdX1L). We have ongoing research collaborations, reading groups, regular workshops and informal discussions with them. · We offer various benefits including free lunches, a cycle to work scheme, company away days, private health insurance, discounted gym membership and visa sponsorship. Please send your CV and cover letter to Milly Parrott mparrott@ahl.com

Posted on: 2017-04-29 15:01:18 UTC

DEEP LEARNING TECH LEAD

TWENTY BILLION NEURONS GMBH|BERLIN, GERMANY

We are an artificial intelligence startup that applies recent breakthroughs in Deep Learning to real-world video understanding. We are developing new, ground-breaking technology that allows machines to perceive the world like humans. Our technology can analyze video and extract meaning from it in real-time. We build Deep Learning systems using our large video datasets about common world situations. Our four founders, two of whom have resigned their professorships to join TwentyBN, met each other during their studies at the University of Bielefeld. Each of them has over 15 years of experience in machine learning, and in particular Deep Learning. YOUR ROLE You will work in our Berlin team to extend the capabilities of neural networks applied to video understanding and common sense reasoning. You will research on e.g. recurrent networks, attention policies, multi-task learning and scaling up training. You will give hands-on guidance to our junior team members and enable them to create cutting edge deep neural networks. You will present your work at top international conferences and journals in the area, such as NIPS, ICLR, CVPR, PAMI. You will help define and shape a research agenda at the forefront of Deep Learning and AI. YOUR PROFILE You completed your PhD or Master in Computer Science or other relevant fields and had significant exposure to Deep Learning. Ideally you have already published papers at high-profile conferences. You have extensive knowledge of Python, as well as Tensorflow, Theano or similar Deep Learning frameworks. You have experiences in leading (small) teams, and sharing your knowledge with others, ideally in agile development environments. You have very strong communication skills. You don’t mind getting your hands dirty to solve difficult technical problems. You are passionate about Artificial Intelligence and believe that it is the most transformative technology that currently exists. You think big and want to take part in defining the future of AI and Deep Learning. WHAT WE OFFER The opportunity to work in a great engineering-focused startup Work with some of the leading Deep Learning experts Stay on top of Deep Learning research and publish and attend tech conferences all around the globe A stimulating startup environment with scientific reading groups, the latest and best hardware for Deep Learning, problems at the forefront of DL research, and after-work beer Work in the heart of Germany`s startup scene in Berlin-Kreuzberg Build products that will change the world Competitive salary Become part of a friendly, diverse team that values trustworthiness, a pioneer spirit and a work-life balance Have an impact: your voice will be heard, your opinion will matter, and your ideas will change things. For more details please check https://www.twentybn.com/career

Posted on: 2017-04-28 14:30:29 UTC

Multiple Openings for Researchers, Research Engineers and Interns in Computer Vision and Machine Learning

Megvii/Face++|Beijing, China

Megvii/Face++, a fast growing Chinese CV startup, has a number of positions available immediately in computer vision, machine/deep learning and related areas. We are looking for great people at all levels: researchers, research/software engineers and research interns. Our focus areas include, but NOT limited to: face understanding (detection, alignment, recognition, attribute, etc.), human understanding(detection, tracking, pose estimation, shape fitting, attribute, action, etc.), generic object detection and tracking, indoor and outdoor scene analysis, activity recognition and detection, video structuring and summerization, text detection and recognition, and deep learning system (training and inference) design and development. Our headquarter is located at the heart of Zhongguancun, we offer competitive packages and perks, and the opportunity to work with exceptional research and engineering teams. We are also hiring interns all year around. If interested, please send you cv to Keyin Wu: wky@megvii.com.

Posted on: 2017-04-27 07:19:27 UTC

Researchers, Research Engineers and Interns in Computer Vision, Computer Graphics, Machine Learning

Megvii/Face++|Seattle, USA

Megvii/Face++ recently opened a brand new research lab in Seattle, WA, USA, and we have a number of positions available immediately in computer vision, graphics, and machine learning. We are looking for great people at all levels: researchers, research engineers and research interns. Our focus areas include, but not limited to: 2D and 3D face and head analysis and editing, human pose estimation and shape fitting, indoor and outdoor scene analysis, object detection and tracking, activity recognition and detection, video structuring and summerization, video compression, AR and VR. This is a unique opportunity to work in a fast growing CV startup, with competitive packages and an ideal job location. We are also hiring research interns all year around. If interested, please send you cv to Jue Wang: wangjue@megvii.com.

Posted on: 2017-04-27 07:18:28 UTC

Applied Computer Vision Scientist (all levels)-Ambient Computing

Microsoft|Seattle, USA

With the proliferation of connected sensors and devices the number of available I/O points is set to explode. The industry is marching towards a world where people are surrounded by multiple devices and embedded panels of all sizes, complemented by cameras, mic arrays, and other ambient and bio sensors. Imagine if these devices would become aware of the physical spaces around them by recognizing objects, people, events and human activities to make the ambient world intelligent and assist people in their everyday jobs and tasks. We are working on a new productivity platform designed for the physical world. A platform made of cloud services that connect digital devices, sensors, and robots together to create a single “compound” device. Each service is backed by state-of-the-art image processing and machine learning algorithm to recognize users, activities and assist users in coordinating tasks, handling emergency situations and being more productive. Are you excited to work on a V1 project that combines hardware (sensors, robots), software (cloud services, ML, computer vision) and will redefine productivity? Then come and join the new Ambient Computing team! We are now growing the core founding team and are looking for highly-motivated, entrepreneurial and totally technology-obsessed individuals to join our small team as we make the push to get V1 out to customers and surprise the market. This position requires a seasoned applied researcher in computer vision, who can comfortably adopt and expand on the state of the art from research and industry. You will be working with a team of applied researchers and software engineers to produce working systems that run at high quality. As a member of a small team, you will have ample opportunities to demonstrate your technical leadership across multiple partner teams within Microsoft and externally. This is a great time to join and influence the strategy of this technology while having lots of fun doing it. Successful candidates must have: • PhD in Computer Science with focus in Computer Vision • 3+ academic and/or industry applied research background • 3+ years of experience with real-time inference pipelines at web scale • Proven experience in independently addressing issues ranging from fundamental algorithm design/development/optimization to driving product outcomes Please provide any of your relevant publications in your field of expertise. Contact: Prachi Mehrotra pmehr@microsoft.com 4257077828

Posted on: 2017-04-27 05:01:55 UTC

Senior Applied Scientist-Bingcubator

Microsoft|Seattle, USA

Bingcubator is a startup initiative within Bing focused on bringing innovative ideas to life and building breakthrough products that open new opportunities and markets for Bing services. Our projects span a variety of areas including, but not limited to, delivering new immersive search experiences on AR/HoloLens leveraging Computer Vision and AI, and building compelling bot experiences. Like any small startup, we operate in learn fast-fail fast mode with short milestones focused on deploying and validating ideas based on customer feedback. If you have the growth mindset and want to experience a startup culture within Microsoft, this is the place to be! We are looking for experts in areas of Computer Vision, Graphics, Deep learning who are driven, self-motivated, self-directed and desire to work in a fast and adapting environment to help us maintain our momentum and execute on the idea. This position will require working closely with ML Experts in Bing and Microsoft Research, and leverage state of the art AI tech to build innovative features in our products. You will need to drive the detailed technical design/implementation of our features through to delivery. You will get broad exposure to mobile and web application development in a high-scale, high-exposure team that is moving continuously to deliver innovative features. Responsibilities: • Design ML pipelines such as offline training and online inference in the cloud and on client side • Work closely with ML researchers, full stack developers, and PMs to generate the right design • Think creatively about how to solve deep technical challenges • Use usage data to drive the implementation of features Qualifications: • Experience with development in large, high-volume services • Experience with agile development environment • Ability to ramp-up quickly on complex and unfamiliar code • Collaborate well with other people and teams to deliver end to end experience Requirements: • Master’s Degree in Computer Science with a concentration in Computer Vision, Computer Graphics or Machine Learning. PhD preferred • 2+ years of experience with tools such as CNTK or TensorFlow • 2+ years of experience with Matlab, OpenCV or OpenGL • 5+ years of experience with C++, C# or other OO language • 3+ years of software development experience • 2+ years of image processing experience • Unity Platform experience is a plus • Game development experience is a plus Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. Contact: Prachi Mehrotra pmehr@microsoft.com 4257077828

Posted on: 2017-04-27 05:01:06 UTC

Applied Scientist (all levels will be considered)-Bing Image Understanding

Microsoft|Seattle, USA

What if your job description were simply to make tomorrow better? That's the essence of roles within our Bing Team. Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We build on what’s come before to create what's next. We drive machine intelligence. We help shape the future. We empower billions of people around the globe. Come join a team of strong developers and researchers who have relentlessly improved image understanding techniques for Bing. The team has shipped various techniques to improve image understanding including image duplicate detection, deep learning, and image semantic modeling. It is an exciting moment to join the team now as we are working on building the capabilities for visual search to connect the virtual world of knowledge on the web to the physical world by using camera as input, based on various advanced computer vision and deep learning technologies. Whether your interest is building robust scalable systems, pushing the advancement of computer vision/machine learning state of the arts, or simply making things work, the team has compelling projects to offer. We are looking for a self-motivated and talented researcher/developer to own one of the complex feature areas. You will be expected to drive the project from conception to end. This may involve coming up with creative ideas, collaborating with partner team engineers and researchers, developing mathematical models, designing and implementing end-to-end system. Strong machine learning / computer vision / natural language processing background would be a huge plus. R&D experiences in the following areas is highly desirable: information retrieval, machine learning, data mining, pattern recognition, computer vision, image understanding, deep learning. Requirements: • Master’s Degree in related field, PhD preferred • •5+ years of experience in deep learning, machine learning or a PhD in one of these areas • •3+ years’ experience with implementation of C++, C#, Java • •3+ years’ experience in computer vision related projects (for example: image understanding) • •Python experience is a plus • •Publications in major conferences and/or journals are a plus Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. Contact: Prachi Mehrotra pmehr@microsoft.com 4257077828

Posted on: 2017-04-27 05:00:09 UTC

Mobile Computer Vision Research Engineer

Samsung Research America|Richardson, TX

Description of the job: As part of the Mobile Computer Vision team, you will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile devices ability to understand visual environments and interact with users. By creatively applying computer vision and machine learning technologies to various applications and services, you will contribute to taking the user experiences on Samsung Mobile products to the next level. You will have opportunities to demonstrate your work through efficient SW and HW implementations on current and upcoming Samsung mobile platforms. The projects at MPI lab are part of Samsung Mobile’s global R&D effort and have direct impact on future Samsung Mobile products reaching millions of users worldwide. Your responsibilities: Identify areas of differentiation and innovation around mobile devices by leveraging new and existing vision and machine learning algorithms; Prototype algorithms and system applications in Python, Matlab, or C/C++. Interested candidates please email your resume with subject line "Mobile Computer Vision Research Engineer + [Your Name]".

Posted on: 2017-04-26 12:29:07 UTC

2 Postdoc positions in deep learning and computer vision

Idiap Research Institute/EPFL|Switzerland

The Perception and Activity Understanding group of the Idiap Research Institute (www.idiap.ch), a laboratory associated with EPFL (www.epfl.ch), seeks qualified candidates in computer vision and machine learning for human interaction analysis. Position 1: Within the context of the project REGENN, the main goal is to apply deep learning and machine learning techniques (eg adaptation) for gaze estimation in the 3D space (see project http://www.idiap.ch/project/g3e/). The project involves the tech company Eyeware (http://eyeware.tech/). The candidate is expected to research and publish the developed methods. Position 2: Within the context of the MuMMER European project (http://www.mummer-project.eu/), the goal is to design deep learning algorithms for 3D pose estimation and interaction analysis in HRI applications, using both RGB and Depth video streams. Other tasks (multi-person tracking and Re-identification) might be considered as well, based on candidates expertise. The postdoc will join a team of 3PhD students and 1 engineer working on the project.

Posted on: 2017-04-26 06:00:36 UTC

Postdoctoral positions in Computer Vision and Machine Learning

Imperial College London|London UK

Applications are invited for Postdoctoral Research Associate positions within the computer vision and learning lab (http://www.iis.ee.ic.ac.uk/ComputerVision/), Department of Electrical and Electronic Engineering, Imperial College London. The positions are available under the supervision of Dr Tae-Kyun Kim, for two fixed-term projects: pose estimation (2 years), and machine learning for robotics (1 year, extendable up to 3 years). Applicants should have completed a PhD in computer vision and machine learning with a strong track record in top venues. Candidates who can start early and have expertise in human pose estimation and/or Deep learning are preferred. Applications will be accepted until the positions are filled, please send your CV to tk.kim@imperial.ac.uk with the email title, “application for postdoc positions in ICVL”, indicating your earliest starting time. Selected candidates will need to formally apply later. The successful candidates will have an opportunity to work on cutting-edge research projects, and to contribute to the supervision of PhD/Master students.

Posted on: 2017-04-23 03:45:42 UTC

POSTDOCTORAL POSITION in face recognition AT Facebook

Facebook|Menlo Park campus in CA

Starting date: June 2017 One postdoctoral position is available at Facebook (Menlo Park campus in CA). The candidate will be responsible to research novel machine learning and computer vision algorithms for face recognition. The position is also open to research new techniques for 2D and 3D facial feature detection and tracking, facial image editing and other novel applications of faces. A strong background in mathematical modeling and deep learning is required. The candidate has to have a good record of publishing in high impact conferences and journals. Very competitive pay and benefits. This will be initially a one year position with the possibility of an extension for a second year. Applications should be sent by email (ftorre@fb.com) and should include a CV, the expected date of availability, and the contact information for 3 references.

Posted on: 2017-04-23 03:30:42 UTC

(Senior) Medical Imaging Engineer

Intuitive Surgical|Sunnyvale, CA, USA

Description Do you want to make computer vision / machine learning to benefit hundreds of thousands of patients during surgery? Primary Function of Position: The engineer will play an important technical role in the development of new image guidance capabilities of da Vinci™ surgical systems. He or she will work with state-of-the-art machine learning methods for medical image segmentation algorithms and software systems to enable surgical planning and navigation. Roles and Responsibilities: This position has responsibility and authority for: Understand clinical requirements and develop technical specifications Invent, select, improve, implement and accelerate automatic and interactive medical image segmentation algorithms Systematically test and evaluate algorithms on large datasets to prove robustness Iterate with user feedback, and deliver production-ready code Generate formal design documentation Prepare and review patent applications Skill/Job Requirements: A passion for developing technologies to improve the lives of hundreds of thousands of people MS or PhD degree in CS, EE, BME, radiology or related fields Deep understanding of and hands-on experience in state-of-the-art (medical) image analysis algorithms Deep understanding of and hands-on experience in machine learning and deep learning Experience in one or more areas: volumetric image segmentation, semantic image segmentation, deep learning, graph cut, level-set, or computer vision Strong verbal and written communication skills Proficiency in programming using C++/C and experience with OOP design Experience with software development process in a regulated environment is a plus 2+ years of experience in relevant algorithm development 4+ years of overall relevant experience.

Posted on: 2017-04-20 01:58:17 UTC

Researcher in Computer Vision and Machine Learning

A*STAR|Singapore

A postdoc researcher position is available in the machine learning for bioimage analysis group, BII, A*STAR, Singapore. We are seeking a highly motivated applicant to develop generic computer vision and machine learning algorithms. One of our focus areas is on pose estimation, object detection and tracking, activity recognition and detection from depth images and videos. We also collaborate with leading biologists in the field where machine learning and computer vision play key role, and there are ample opportunities to publish high impact research work. Candidates with the following skills/criteria are preferred: (1) PhD with demonstrated ability to conduct high quality research in computer vision and machine learning. A track record of publications in top venues. (2) Good communication skills and a team player. The position is for 2-3 years with possibility for renewal. The remuneration package is internationally competitive and is negotiable depending on experience and qualifications. Applications will be accepted until the position is filled. Application should include * a CV, * a statement of research experience and interests, * a list of publications, * academic transcripts, and * the contact details of three references. Please send complete application as single PDF documents to Li CHENG (chengli@bii.a-star.edu.sg). About Us: We are an inter-disciplinary research group working in machine learning and computer vision. More information can be found at the following websites: http://web.bii.a-star.edu.sg/~chengli/

Posted on: 2017-04-18 12:18:52 UTC

Research Scientist

ObjectVideo Labs|Tysons, VA

Contribute to exciting and high visibility projects that will push the state-of-the-art in image/video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. The successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research. Areas of interest include but are not limited to: context-sensitive scene analysis; geometric scene modeling, sensor modeling and calibration; 3D scene reconstruction; moving target detection and tracking; object classification/recognition/identification; event detection and classification; image/video retrieval and mining; and image/video geolocalization. Candidate should be conversant with the latest development in deep learning frameworks for scene understanding and object and action identification. The ideal candidate possesses an impressive educational background in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios. Candidate Profile MS in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience; PhD preferred. Solid research background and experience in computer vision, machine learning, and image/video analysis algorithms. Current knowledge of research literature in Computer Vision with a history of publication in the field. Excellent written and oral communication skills also required. ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, gym subsidy, education assistance program, and in-suite bike racks and showers. Visit our website at www.objectvideolabs.com. To apply for this position, please send a cover letter and resume to careers@objectvideo.com. ObjectVideo Labs is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law. Contact: Melissa Kalagher – mkalagher@objectvideo.com

Posted on: 2017-04-18 02:04:48 UTC

Senior Research Scientist

ObjectVideo Labs|Tysons, VA

SENIOR RESEARCH SCIENTIST – TYSONS, VIRGINIA Contribute to exciting and high visibility projects that will push the state-of-the-art in image/video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. The successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research. Areas of interest include but are not limited to: context-sensitive scene analysis; geometric scene modeling, sensor modeling and calibration; 3D scene reconstruction; moving target detection and tracking; object classification/recognition/identification; event detection and classification; image/video retrieval and mining; and image/video geolocalization. Candidate should be conversant with the latest development in deep learning frameworks for scene understanding and object and action identification. The ideal candidate possesses an impressive educational background in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios. Candidate Profile PhD in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience. Solid research background and experience in computer vision, machine learning, and image/video analysis algorithms. 6+ years work experience in a relevant field. Current knowledge of research literature in Computer Vision with a history of publication in the field. Excellent written and oral communication skills also required. ObjectVideo Labs offers competitive pay and a generous benefits package including health and welfare benefits, 401(k) with employer match, paid holidays, paid time off, and paid maternity/paternity leave. We offer a casual work environment, gym subsidy, education assistance program, and in-suite bike racks and showers. Visit our website at www.objectvideolabs.com. To apply for this position, please send a cover letter and resume to careers@objectvideo.com. ObjectVideo Labs is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by law. Contact: Melissa Kalagher – mkalagher@objectvideo.com

Posted on: 2017-04-18 02:02:55 UTC

Research Scientist in Computer Vision & Deep Learning

Yahoo Research|New York City

Yahoo Research NYC is looking for junior and senior level Research Scientists in Computer Vision and Deep Learning. Computer Vision at Yahoo Research tackles some of the most interesting real-world problems in image and video understanding. Powered by Yahoo's massive repository of multimedia content, we conduct research and development in a variety of areas including visual recognition, visual saliency detection, vision/language, visual aesthetics and creativity; and, we do so by applying our expertise in computer vision, machine learning, and deep learning. Our work has direct impact on many of Yahoo's flagship products by powering core technologies such as multimedia metadata enrichment, search and recommendation, video highlight detection and summarization, and search by visual content. We will challenge your brain every day, and when you succeed you will change the lives of hundreds of millions of people, allowing them to do things they never dreamed they could do. Come join us and use your scientific background to drive Yahoo-scale innovation! We strongly encourage our team members to stay abreast of novel academic work and publish papers and/or patents when appropriate. We also release open-source projects and datasets. This is an exciting opportunity to apply your computer vision skills to the 10 terabytes of data that Yahoo captures every day. Your Day : (1) Design and carry out both fundamental and applied research in large-scale image and video understanding. (2) Work closely with engineers to develop prototypes and transfer research to new products, new processes, and/or new business areas. (3) Actively participate in the academic community and publish high quality research. (4) Collaborate with academics and students from top universities on novel research ideas. You Must Have : (1) Ph.D. in Computer Vision, Multimedia, Deep Learning, Machine Learning, AI or a related field. (2) 5+ years of research experience in computer vision, multimedia, deep learning, machine learning, and AI methodology. (3) Publications in top-tier conferences and journals in related fields (e.g., CVPR, ECCV, ICCV, NIPS, ICML, ICLR, etc.). (4) Strong algorithmic problem solving and software development skills (C/C++, Python, Java, etc.). (5) Excellent communication & writing skills.

Posted on: 2017-04-15 07:32:55 UTC

Postdoctoral positions at the Oxford Visual Geometry Group

University of Oxford|Oxford UK

We are seeking Postdoctoral Research Assistants to collaborate with Andrea Vedaldi and Andrew Zisserman in the Oxford Visual Geometry Group (VGG) in the Department of Engineering Science, University of Oxford, for three projects (http://www.robots.ox.ac.uk/~vedaldi/vacancies.html for details). The successful candidate will have an opportunity to work on cutting-edge computer vision and machine learning research projects using Deep Learning. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels. He/she is also expected to contribute to the supervision of DPhil (PhD) students.

Posted on: 2017-04-13 03:06:26 UTC

Research Scientist in Vision, Learning or Robotics

NEC Labs America|Cupertino, CA

Description: Would you like to build a self-driving car from scratch? The Media Analytics team at NEC Labs America in Cupertino (CA) is seeking outstanding researchers with backgrounds in computer vision, machine learning or robotics. Candidates must possess a track record of original research and passion to tackle the next generation of challenges. Our researchers are expected to establish worldwide leadership in their communities. NEC Labs provides a vibrant environment that produces strong research results. We extensively publish high-impact and award-winning work at top-tier venues such as CVPR or NIPS. Our two key research directions are visual recognition and 3D scene understanding, with applications such as security or self-driving. We provide ample means to demonstrate impact of our research, for example, by building a self-driving platform. We are located in Cupertino, with very competitive pay and benefits. We have a strong internship program and active collaborations with academia. To check out our latest work, please visit: http://bit.ly/2o5gSJ4. To apply, please visit: http://bit.ly/2ooHq88.

Posted on: 2017-04-12 03:13:02 UTC

A postdoc position at the intersection of Machine Learning, Computer Vision and Human-Computer Interaction

The group of Christopher Rozell at the Georgia Institute of Technology|Atlanta, GA

We are looking for a highly motivated and creative individual who enjoys working in an exciting interdisciplinary research environment. The research project centers around tasks that are specified through interactive communication with a human user (e.g., semantic descriptions of a desired object). Key technical elements of the work are likely to include learning visual attributes and manifold modeling of image transformations. Applicants should hold a PhD in a related discipline with a strong research record. Experience in areas such as visual attributes, manifold models and zero-shot recognition are desired. The position has significant flexibility and the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English are required. The start date is flexible but ideally would be as soon as possible. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. Georgia Tech's campus in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to Dr. Rozell at (crozell -at- gatech -dot- edu). Applications will be reviewed immediately until the position is filled.

Posted on: 2017-04-11 14:00:37 UTC

Computer Vision Architect

Synaptics, Inc|Located in San Jose, CA

About Synaptics Synaptics is the pioneer and leader of the human interface revolution, bringing innovative and intuitive user experiences to intelligent devices. Synaptics’ broad portfolio of touch, display, and biometrics products is built on the company’s rich R&D and supply chain capabilities. With solutions designed for mobile, PC and automotive industries, Synaptics combines ease of use, functionality and aesthetics to enable products that help make our digital lives more productive, secure and enjoyable. (NASDAQ: SYNA) www.synaptics.com. Job Responsibilities Synaptics is rapidly expanding its biometric algorithm team focusing on single- and multi-modal biometric authentication. We are looking for candidates with a combination of expertise in computer vision, image processing, excellent programming and implementation skills, and software system design. This role involves the design, testing, debugging and optimization of algorithms. The candidate is also expected to have an ownership attitude, and take responsibility for the success of projects. There will be significant interaction with other members of the team, who are also experts in the field, in the common pursuit of market-leading biometric products. Required Qualifications PhD in EE/CS with background in computer vision or related field 2+ years of industry experience Fluency in developing code in C/C++, and Matlab Ability to design experiments, analyze data, and debug and optimize algorithms Ownership attitude, and ability to take responsibility for the success of projects Works well within a multi-discipline development environment Thinks outside the box, strategic, and creative Publications in conferences and journals related to computer vision, including CVPR, ICCV, ECCV, PAMI, NIPS, ICML Desired Qualifications Machine learning and image processing Experience in statistical modeling and regression FPGA emulation and optimization of hardware-accelerated algorithms Experience in porting to embedded systems and optimizing code for such platforms. Please send resumes to Ashley.Pantaleon@Synaptics.com.

Posted on: 2017-04-11 02:30:01 UTC

Postdoc in Cognitive Science and Computer Vision at Indiana University

Indiana University|Indiana University

Prof. Linda Smith, Chen Yu, and David Crandall are inviting applications for post-doctoral research fellowships at Indiana University. We are seeking ambitious young researchers to join us in the study of early visual environments and egocentric vision, especially as they relate to the development of visual object recognition and early object name learning. We have a collected over 500 hours of home head camera (and audio) data in infants from 3 weeks to 24 months to understand the statistical structure of natural visual environments and how they change with development. There are important open questions in low level and high level visual statistics, object name correspondences, and experiences of specific object categories such as faces, hands, people, and objects. Please see www.iub.edu/~cogdev for recent work on this project. We have funds to hire two fellows who could define their own projects (including new data collection) depending on their area of expertise and interests. Applicants with interests in early object name learning, visual and perceptual development, the role of sensory-motor development in perception, visual object recognition, natural visual statistics, machine learning, computer vision and egocentric vision are invited to apply. Indiana University Bloomington provides a strong intellectual environment of collaboration across disciplines and applicants will receive substantive career mentoring and support for independent research and professional development. This postdoc position is for 2-3 years dependent on yearly evaluations. How to apply: Review of applications will begin immediately and continue until filled. Please email: a cover letter including a 1-2 page statement of research interests, a CV and contact details for 3 referees. Reference letters may be requested for short-listed applicants. Please also attach up to 3 representative publications or manuscripts. Send applications to: Charlotte Wozniak, chwoznia@indiana.edu. Please put Homeview/Egocentric Vision Post-docs in the subject line.

Posted on: 2017-04-09 02:06:38 UTC

Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis

Institute of Cognitive Science and Department of Computer Science|University of Colorado Boulder

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled. The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving). The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education. The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals. Required • Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire) • Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction) • Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record Desired • Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing) • Experience mentoring graduate and undergraduate students Job Details • 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds. • Start date is negotiable, but anticipated for Summer/Fall 2017. • Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals. How to apply Please complete Faculty/University Staff EEO Data (application) form (https://goo.gl/YC9g94) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications. Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work. The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu. Questions Please email sidney.dmello@gmail.com.

Posted on: 2017-04-05 06:15:27 UTC

R&D Engineer in 3D vision, manipulator control, intelligent　robots

3D Media Co. Ltd.|Shiga, Japan

3D Media is the market leader in 3D vision for intelligent bin-picking robots.　We are developing state-of-the-art technology for robotic bin-picking that incorporates 3D vision, motion planning, manipulator control, and machine learning, in order to fulfill the vision of a fully automated factory. We have an estimated share of 60% in Japan's domestic market for 3D vision sensors for industrial robots. Recently, we have also started developing and offering vision-based intelligent robots that integrate vision, motion planning, and smart manipulators and end-effectors. We have a total capital of approximately 1 billion Japanese yen, and our investors include the Innovation Network Corporation of Japan (an investment fund sponsored by the Japanese government), the Mirai Creation Investment LP (funded by Toyota Motors Corporation and Sumitomo Mitsui Banking Corporation), Toyota Tsusho Corporation, and Omron Ventures. We are currently working towards an IPO in 2020. We are seeking research engineers with expertise in any of the following fields: - 3D machine vision - manipulator kinematics, path planning, and control - machine learning, including deep learning and reinforcement learning Qualifications: - Master or doctoral degree - 2-5 years of experience in relevant fields Our headquarters is located in Shiga prefecture, near Kyoto. We will also be opening an R&D center in Tokyo in the near future. Interested applicants should email their cover letter and C.V. directly to: Prof. Gang Xu, CEO 3dm_recruit@3dmedia.co.jp. Please visit our homepage for more information: http://www.3dmedia.co.jp/en/

Posted on: 2017-04-03 14:27:50 UTC

Computational Image Analysis Core Manager

St. Jude Children’s Research Hospital|Memphis, TN

Posted on: 2017-03-30 14:45:13 UTC

Computer Vision and Machine Learning Internships at Amazon Prime Air

Amazon Prime Air|Graz, Austria

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air Team! We're looking for an outstanding student who combines superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch applied scientists. We’re looking for people who innovate, and love solving hard problems. Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. BASIC QUALIFICATIONS · Currently enrolled in a PhD or Master’s degree program in Computer Science · Knowledge of fundamentals in computer vision and machine learning · Strong coding skills in, at least, one modern programming language such as C++ or Python · Strong verbal and written communication skills · Excellent problem solving ability PREFERRED QUALIFICATIONS · Experience in publishing at major vision conferences (CVPR, ICCV, ECCV, BMVC, ACCV, …) or journals (IJCV, T-PAMI, CVIU) · Experience building/integrating complex software/hardware mission-critical systems

Posted on: 2017-03-30 14:32:18 UTC

Sr. Staff Engineer, Computer Vision

NIO|SAN JOSE, CA

Team charter: The Advanced Technologies and Autonomy team is responsible for delivering highly available, high quality systems to enable NIO’s Autonomous driving vehicles. Our mission is to provide the next generation of hardware, software and algorithmic solutions. This includes but not limited to sensing, compute, storage as well as vehicle controls and safety system compute. What the team works on: • Autonomy hardware and software architecture • Design, development, integration, and test of autonomous compute and sensing hardware • Mass storage and Event Data Recorders • Vehicle and Safety Controller HW and related functions • Environment and Sensor modeling and simulation • Autonomy Al and Controls • Autonomy R&D Tools • Autonomy compute and sensing HW and SW redundancy • Sensing, GPS and IMU hardware, software, and integration • Autonomy compute communication (sensing, compute, and controller inter-ECU communication) Purpose of the Role: As a Senior Staff Computer Vision Engineer, you will lead a team working towards NextEV’s autonomous vehicle vision. You will be working with bright, passionate people to implement the next generation automotive vision and machine learning algorithms. Key Responsibilities: · Expert knowledge and leadership of object detection and classification, with a focus on machine learning and deep learning · Image labeling and annotation for training · Vision aided navigation · Camera calibration techniques, online and offline · Deep understanding of automotive camera sensor technologies, interfaces, data formats · Object tracking and data association, sensor fusion, estimation, scene recognition · Generation and tracking of key performance indicators and regression testing · Skilled knowledge with parallel programming in CUDA or OpenCL · Development or use of simulation environments · Experience working on robotic and/or automotive electronics hardware is a plus Preferred Qualifications: · Previous experience in developing automotive vision a plus (lane tracking, vehicle detection and tracking, traffic light/sign detection, ground plane estimation) · Experience with existing ADAS technologies such as adaptive cruise control, automatic emergency braking, and lane keeping · Understanding of ADAS sensors such as radar, camera, ultrasonic, and lidar, including the measurement and data-reduction, target identification and environmental synthesis, and sensor fusion · Previous use or contributions to open source computer vision libraries, such as OpenCV · Previous use of machine learning frameworks such as Caffe and TensorFlow. · 7-10+ years of experience developing software for shipping products · Strong C/C++ software development experience · Experience using issue tracking (JIRA) and source control (git) tools About NIO (A brand owned by NextEV USA, Inc.) We’re the next generation car company. The automotive industry is on the cusp of profound change. The future is in smart, connected, and electric— but also autonomous — vehicles, and we aim to lead the way. We believe it isn’t just products and technology that must change; it is how people use these products, and their entire ownership experience. We want you to feel something positive again about owning a car. We are a global company, with research and development, design, manufacturing and oﬃces in San Jose, Munich, London, Shanghai as well as eight other locations. We have set the bar high for ourselves, and believe that actions speak louder than words. So far, we are proud to say that the NextEV NIO Formula E team won the ﬁrst FIA Formula E Drivers’ Championship title in history, and our EP9 supercar has become the fastest ever electric car to have run on the Nürburgring. Imagine what’s waiting just over the horizon. NIO is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.

Posted on: 2017-03-30 01:52:47 UTC

Senior Computer Vision Engineer

NIO|SAN JOSE, CA

Posted on: 2017-03-30 01:52:03 UTC

Computer Vision/Deep Learning Internship at Adobe Research

Adobe Research|San Jose, CA

We are looking for a research intern to explore a project in the intersection areas of deep learning, vision, image retrieval. As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe’s product line, and consequently reaching millions of computer users worldwide. The ideal candidates should be in a MS/PhD program in a university and have a solid research background in computer vision and machine learning/deep learning, and hands-on experience on training convolutional neural networks. Adobe Research internships provide valuable work experience to enhance your academic pursuits. As an intern, you will be involved in exciting team projects with some of the most talented people at Adobe. You will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe's product line, and consequently impacting millions of computer users worldwide. You will learn from the best while working in a fun and creative environment. For more about Adobe's internship program, visit http://www.adobe.com/careers/university.html. Contact: Zhe Lin (zlin@adobe.com)

Posted on: 2017-03-30 01:50:04 UTC

Postdoc openings in 3D Computer Vision and Deep Learning

Washington University |St. Louis

I am hiring postdocs in 3D Computer Vision and Deep Learning. More details are to be found here https://sites.google.com/view/postdoc-3dvision-dl. Contact: Yasutaka Furukawa (furukawa@wustl.edu)

Posted on: 2017-03-29 01:46:19 UTC

PhD Studentships at the University of Essex

University of Essex|Colchester (United Kingdom)

The University of Essex is top 20 in the UK for research excellence according to the Research Excellence Framework (REF), the national review of higher education research. The Embedded and Intelligent Systems Lab in the School of Computer Science and Electronic Engineering at the University of Essex carries out research in a number of areas, including computer vision, robotics and embedded systems. Applications are invited for several funded PhD positions in the area of computer vision at the EIS Lab (one of the fastest-growing labs at Essex). It has an expanding team of highly qualified young researchers in computer vision, one of the priority areas of the school. The successful candidates will work under the supervision of Prof. Klaus McDonald-Maier and Dr Shoaib Ehsan. The positions are available for October 2017 start. Financial support is available for atleast 3 years. Prospective applicants should have: 1) Strong academic record with an excellent MSc degree in computer science, applied mathematics, or electrical engineering, preferably with expertise in computer vision and machine learning 2) A good mathematical background 3) Good programming skills in languages such as C, C++, MATLAB and/or Python. For consideration, please send a CV, names and contact details of two references, transcripts for graduate studies, and a link to a M.Sc. thesis (as well as relevant publications if any) to sehsan@essex.ac.uk.

Posted on: 2017-03-25 05:17:17 UTC

Sr .Research Scientist or Internship, Computer Vision & Deep Learning for Healthcare

Siemens Medical Solutions|Princeton, NJ

Siemens Medical Solutions currently has multiple openings at our Princeton location for Sr. Research Scientists and internships focusing on Computer Vision and Deep Learning. This is a wonderful opportunity for students and recent graduates who want to take responsibilities for building novel and revolutionary Healthcare solutions for the human society. Solutions we are building include future Medical Imaging Scanners, game changing IVD Lab Automation solutions, image-guided interventions, future OR, etc. Our innovation and research are developed using big healthcare data, overcoming real-world challenges and resulting in revolutionary products which improve patient outcome with greater efficiency. Talented students and researchers are encouraged to join us on this exciting journey.

Posted on: 2017-03-25 03:10:33 UTC

Computer Vision Scientist, Amazon Go

Amazon|Seattle, WA and Haifa, IL

Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Check it out at amazon.com/go. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design. As a Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.

Posted on: 2017-03-24 03:09:10 UTC

Applied Scientist, Amazon Rekognition

Amazon|Seattle, WA

The Amazon Rekognition team is looking for experienced CV/ML experts to work with a team building one of the most popular consumer- and developer-facing web services in the world. Our systems need to meet remarkably high standards of quality, performance and reliability, operating around the clock on a massive scale. A Scientist on this team will develop creative, novel, and practical solutions to complex problems. He or she will create advances to current state-of-the-art computer vision and machine learning algorithms and develop prototype systems with large-scale, real-world data.

Posted on: 2017-03-24 03:08:21 UTC

Internship Computer Vision / Software Engineer (f/m)

PTC|Vienna, Austria / Zürich, Switzerland / Cambridge, United Kingdom

Join Vuforia’s development team to contribute to the development of cutting-edge Computer Vision and Augmented Reality technology. Interact closely with computer vision engineers, software developers and test engineers in a world-class AR team. · Be part of a team developing mobile Augmented Reality enabling technology · Investigate and develop new computer vision algorithms and features · Design state-of-the-art creation pipelines for Augmented Reality applications Students should be mid-study looking for work experience or a mandatory internship towards completing their degree. Assignments will be selected based on academic background and current focus of the applicant. Go to www.youtube.com/user/vuforia to see Vuforia features in action. Skills/Experience: Essential skills: · Excellent C++ and object-oriented programming skills · Proactive communication and outstanding problem solving skills · Knowledge of or interest in Augmented Reality, Computer Vision or Virtual Reality Additional desirable skills and experience for Computer Vision Intern: · Deep learning methodologies · Machine learning methods for object detection or reconstruction · Robust real-time 6 DoF tracking algorithms such as SLAM, VIO and model-based tracking · 3D reconstruction from camera images and depth sensors · Fusion of multiple sources of information for tracking · Practical experience with Caffe, TensorFlow, or alternatively MXnet Additional desirable skills and experience for Software Engineering Intern: · Experience of one or more mobile operating systems such as Windows 10, Android or iOS · Experience with scripting languages such as bash, Python or Lua · Experience with git, continuous integration, agile development workflows, working in teams · Unity 3D game engine · Practical experience of 3D graphics programming with the Direct3D, OpenGL ES or Metal graphics APIs and rendering packages such as Blender Education: Mid-term B.Sc, M.Sc or PhD (Computer Science, Information Science or Electrical & Electronic Engineering) What we offer? · Work in a world-class development team in a dynamic environment. · Contribute to leading edge technology with the potential to be deployed in millions of devices · A fascinating, flexible, and fun work environment. Contact: jkrauthoff@ptc.com.

Posted on: 2017-03-23 17:03:43 UTC

Senior Computer Vision Engineer (f/m)

PTC|Vienna, Austria

Are you passionate about augmented reality and virtual reality? Do you have what it takes to work with the best and brightest minds in the world? Do you get excited about solving hard problems? If so, we want to meet you. We are a hard working team within PTC that is ushering in the era of augmented reality. By making AR extremely easy for developers, Vuforia has become the world's leading augmented reality software platform. The Vuforia ecosystem now includes more than 200,000 developers who have developed more than 25,000 applications for phones, tablets, VR Viewers, and a whole new generation of digital eyewear. They are building new experiences that change the way we learn, play, shop and work. Join Vuforia’s development team in Vienna, Austria, to contribute to the development of cutting-edge Computer Vision and Augmented Reality technology. Interact closely with computer vision engineers, software developers and test engineers in a world-class AR team. Enjoy life in the city with the best living standard in the world (Mercer 2015 Quality of Living Survey). Be part of a team developing mobile Augmented Reality enabling technology Investigate and develop new algorithms and features Design state-of-the-art creation pipelines for Augmented Reality applications Go to www.youtube.com/user/vuforia to see Vuforia features in action. Skills/Experience: In-depth understanding in at least one of the following skills: Robust real-time 6 DoF tracking algorithms such as SLAM, VIO and model-based tracking 3D reconstruction from camera images and depth sensors Machine learning methods for object detection or reconstruction Fusion of multiple sources of information for tracking Excellent C++ and object-oriented programming skills demonstrated through relevant industry experience Outstanding problem solving skills Candidates with experience in the following areas are preferred: Algorithms for devices with limited computing power such as mobiles, tablets or digital eyewear Deployment of significant computer vision projects in commercial environments Education: M.S. or PhD (Computer Science, Information Science or Electrical Engineering) What we offer? Work in a world-class development team in a dynamic environment. Contribute to leading edge technology with the potential to be deployed in millions of devices A fascinating, flexible, and fun work environment. Contact: jkrauthoff@ptc.com.

Posted on: 2017-03-23 17:02:49 UTC

Summer intern, possible permanent hire

Zebra Technologies Corporation|Lincolnshire, IL

Zebra Technologies Corporation’s Technology Office; is an intrapreneurship team creating innovative solutions for the retail, transportation & logistics, warehouse, and healthcare markets. These “first of a kind” solutions are helping retail managers improve their store operations & better serve their customers and are helping T&L managers enhance the efficiency of their loading operations. The Multimedia Analytics Innovation Team within the CTO focuses on advanced development and application of emerging visual and audio analytics technologies in innovative end-to-end system prototypes to solve real-world problems and then advance these systems into new businesses. Our team's expertise includes machine learning, computer vision, natural language processing, embedded Linux systems, web services, and mobile applications. Responsibilities What you will do: Working with members of our team, you will develop 3D computer vision algorithms and their software implementations to enhance our systems that provide insights to improve our customers’ operations. You will contribute to creating innovative solutions that leverage 3D sensors, image sensors, computer vision and machine learning software libraries and frameworks. Qualifications Education and Skills: Currently enrolled in a Master/Ph.D. degree program in Computer Science, Computer Engineering, Electrical Engineering, or related field, with a concentration in machine learning and/or computer vision Graduate-level studies in machine learning, computer vision, and image/video signal processing. Proficiency in C, C++ programming languages is required Solid foundation in machine learning, including latest advances in deep neural networks and on turning machine learning technologies into practical system implementations Solid foundation in computer vision; key areas of interest include 3D computer vision, multiple view geometry, visual SLAM, and object detection, tracking & recognition Solid foundation in software development process and tool Experience using OpenCV for computer vision and image analysis algorithm development. Experience with PCL, OpenNI, and 3D depth sensors is preferred Experience with CUDA drivers, GPU programming, Linux architecture and Robotic OS is a plus. Programming experience on Android platforms is a plus Strong teamwork, communication skills, passion, creativity, productivity & learning agility. Contact email: yan.zhang@zebra.com.

Posted on: 2017-03-23 04:12:09 UTC

Senior Computer Vision/Deep Learning Software Engineer

Black Sesame Technologies, Inc.|4010 Moorpark Ave, San Jose, CA 95117

Black Sesame Technologies Inc. is a high-tech enterprise focused on the development and application of digital imaging core technologies. The company’s US office is located in Silicon Valley, California and is committed to providing customers with high quality, safe and reliable technology and applications. Our products are used in mobile devices, automobiles, security and a variety of consumer electronics products. If you are imaginative, collaborative, self-motivated and interested in working in startup environment, come join our world class team of scientists and engineers to solve high impact problems. We have several job openings in the following areas: Computer Vision: face detection, face recognition, pose estimation, gaze estimation, facial expression recognition, ADAS (advanced driver assistance system), object detection and tracking, semantic segmentation, camera calibration; Deep Learning: CNN, RNN, LSTM, Caffe, Tensorflow, MxNet; high performance computing, embedded processing; C/C++, Python, Matlab, GPU programming, OpenCV, CUDA/OpenCL, CUDNN. PhDs and Master with related project experience are preferred. Senior professionals are also welcome. We support H1b and green card application if needed. The company offers competitive compensation package and equity. To apply, please email your CV to Qun Gu at qun.gu@blacksesame.com.

Posted on: 2017-03-23 04:07:37 UTC

Hiring Chief Computer Vision Scientist and Senior Scientists at NYC Web Security Startup

Pixm, Inc|Pixm, 175 Varick St, New York, NY, 10014

Pixm is making technologies to stop phishing breaches. We are scientists, engineers and entrepreneurs, making intelligent software that enables email and web interfaces to authenticate their own displays. Winners of the CVC High Tech Challenge, Memberships in the MIT Enterprise Forum and Cyber Security Factory, and backing from top VC’s and Cyber Angel's are just a few Pixm accolades (look us up at pixm.net). While predicted to grow to $200B by 2020, the current cyber security market only address less than 9% of actual breaches. Like the remaining 91% of breaches on the news, the 2016 U.S. election campaign breaches began with simple Gmail phishing emails. Similarly, enterprises internationally loose tens of billions of dollars annually from similar attacks. Our technologies use convolutional networks to pick up novel attack patterns years ahead of current endpoint providers. We are seeking a passionate vision scientist with innovation in their DNA and entrepreneurial hunger in their heart to be the third person on our team. As a chief or senior scientist, your code will scan rendered URL and email screenshots in every desktop, mobile and tablet device in the enterprises we serve, and eventually consumer devices as well. We envision a future where Pixm vision software will run silently in all future web, email and general connected devices. No security experience is necessary, but you should wake up excited that the quality of your code may prevent many breaches and will run in billions of endpoints. If you enjoy innovation under a little pressure, you'll feel right at home. A PhD in computer vision or deep learning is preferred for the chief scientist role, but a MS or undergraduate degree in computer vision or deep learning with 5+ years of industry experience can work in lieu of a PhD. Substantive publications in top tier venues like CVPR or NIPS or open source contributions is a must. Passionate and enterprising MS or graduating undergrad students with stellar track records are encouraged to apply for the senior scientist role. Experience with object detection, deep learning, data augmentation techniques, OpenCV, and working with 500,000+ image datasets are helpful. General machine learning and classic computer vision knowledge is critical. Our pipeline is based largely in Faster RCNN, Caffe, and MXNet; most of our scripting is in python; our data and compute infrastructure is based in AWS. You will have access to AWS's latest p2 offerings, including 16 GPU machines to train and test very large datasets. Experience with generative adversarial networks is a big bonus. Hands on GPU programming is also a big plus. The position includes office space in a great location in West Soho of NYC, with health insurance, gym membership, and access to Catskill mountain retreats just outside the city. You'll work hard, but you will be among a tight knit supportive team to guide and inspire you. Contact info@pixm.net with a cover note and resume. If you are a fit, salary and equity options will be highly competitive.

Posted on: 2017-03-22 04:54:02 UTC

Senior Research Engineer in Data Analytics

United Technologies Research Center|East Hartford, CT

The United Technologies Research Center (UTRC) invites interested and qualified individuals to apply for the newly created position of Machine Learning and Analytics Research Scientist & Engineer. The candidate will work in Decision Support and Machine Intelligence Group, part of UTRC’s Systems Department. The group takes on cutting edge challenges in machine learning, deep learning, data mining, and human computer interaction. A broad array of business challenges include autonomous flight, security access and surveillance systems, analytics of jet engine data, human in the loop adaptive learning and the reduction of building energy usage through monitoring and diagnostics. Successful candidates must have the ability to perform the following functions. Research, design and prototype novel analytics algorithms and machine learning models. Demonstrate proficiency and deep knowledge in statistical machine learning methods, deep neural networks, Bayesian and probabilistic inference and state-of-art tools (e.g. Theano/TensorFlow/Torch etc.) and programming languages (e.g. Python/R/Java/Matlab).. Demonstrable research experiences in manipulating and analyzing large multi-modal data sets, and working knowledge in big data computing platforms e.g. Spark/Hadoop/MongoDB and/or GPU is a big plus. Possess the exceptional communication skills and the proven capability to initiate, lead, and execute funding opportunities in both internal and external R&D. Required: M.S./Ph.D. in Computer Science, Electrical or Computer Engineering, or a related field with 4-7 years of industry experience and or performance on a government agency proposal. CVPR onsite contact person: Edgar Bernal, Principal Scientist (bernalea@utrc.utc.com) Further information can be found at: https://jobs.utrc.utc.com/job/east-hartford/senior-research-engineer-data-analytics/1739/4246605

Posted on: 2017-03-22 04:51:12 UTC

Senior Research Scientist in Computer Vision

United Technologies Research Center|East Hartford, CT

The United Technologies Research Center (UTRC) invites interested and qualified individuals to apply for the newly created position of Computer Vision Research Scientist & Engineer. The candidate will work in Decision Support and Machine Intelligence Group, part of UTRC’s Systems Department. The group takes on cutting edge challenges in machine learning, deep learning, data mining, and human computer interaction. A broad array of business challenges include autonomous flight, security access and surveillance systems, analytics of jet engine data, human in the loop adaptive learning and the reduction of building energy usage through monitoring and diagnostics. Successful candidates must have the ability to perform the following functions. Research, design and prototype novel analytics algorithms and models by utilizing multiple sensors for visual inspection. Demonstrate expertise and deep working knowledge on computer vision tasks such as object classification and localization, action/activity recognition, scene understanding, object tracking and/or multimodal fusion by using statistical machine learning methods, deep neural networks and state-of-art tools (e.g. Theano/TensorFlow/Torch etc.) . Proficiency in C/C++, Python, and/or Matlab. Exceptional communication skills. Required: M.S./Ph.D. in Computer Science, Electrical or Computer Engineering, or a related field with 2-5 years of industry experience and or performance on a government agency proposal. CVPR onsite contact person: Edgar Bernal, Principal Scientist (bernalea@utrc.utc.com) Further information can be found at: https://jobs.utrc.utc.com/job/east-hartford/senior-scientist-computer-vision/1739/4221457

Posted on: 2017-03-22 04:50:18 UTC

Computer Vision Research Engineer

NovuMind|Santa Clara, California

NovuMind is dedicated to improving lives through the creation of Thinking Things. Leveraging our bleeding edge Artificial Intelligence technology, NovuMind combines big data, high-performance supercomputers, and heterogeneous computing to transform the Internet of Things (IoT) into the Intelligent Internet of Things (I²oT). If you are an ambitious, imaginative, independent self-starter who work well on teams, come join our world class team of scientists and engineers to solve high impact problems. We have multiple job openings in the following areas: Deep Learning, Unsupervised Learning, CNN, RNN, LSTM, GAN, Caffe, Torch, Tensorflow, MXNet Computer Vision: Action Recognition, Face Recognition, Image & Video Synthesis & Captioning, Object Detection and Tracking, Segmentation Medical imaging and diagnosis Speech Recognition: voice commands, conversational High Performance Computing, Parallel Computing, Distributed Computing Embedded processing C/C++, OpenCV, CUDA/OpenCL, CUDNN, DSP If needed, US work visa and permanent residency application sponsorship are available for full time candidates. NovuMind is an E-Verify company. Please email your CV to Kar Han Tan at jobs@novumind.com

Posted on: 2017-03-14 21:28:00 UTC

Geometrical Computer Vision

Sturfee|Santa Clara

Sturfee Inc. is an Augmented Reality startup building novel technology to augment streets around you. Imagine yourself walking through the streets of San Francisco and suddenly noticing your favorite celebrity chef digitally walking out of the restaurant to tell you about the "dish of the day". We are looking for passionate Engineers to help build advance technology. Interested applicants should have thorough knowledge and working experience in geometrical computer vision, specifically areas like SLAM, Visual SFM, PNP, Object Pose Estimation. Applicant should have knowledge on implementing such technologies on Smartphone or Hardware accelerated platforms (GPU). We are based in Santa Clara, CA. We offer competitive salary along with equity.

Posted on: 2017-03-13 21:55:03 UTC

Yahoo Research Intern 2017

Yahoo|Sunnyvale

Yahoo research is looking for research interns in summer 2017. The intern will work on very exciting ads and deep learning projects. Please send resume to YahooIntern2017@gmail.com if interested.

Posted on: 2017-03-10 17:31:36 UTC

[Intern] Mobile Computer Vision

Samsung Research America|Richardson, Texas

The Samsung MPI Lab in Richardson, Texas, is looking to fill multiple positions in the Mobile Computer Vision team. You will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms ability to understand visual environments and interact with users. By creatively applying 3D computer vision and machine (deep) learning technologies to various applications and services, you will contribute to taking the user experiences on Samsung Mobile products to the next level. You will have opportunities to demonstrate your work on current and upcoming Samsung mobile platforms. The projects at MPI Lab are part of Samsung Mobile’s global R&D effort and have direct impact on future Samsung Mobile products reaching millions of users worldwide. ==Responsibilities==: Identify areas of differentiation and innovation around mobile camera by leveraging new and existing 3D computer vision and deep learning algorithms; Prototype algorithms and system applications in Python, Matlab, C/C++. ==Qualifications==: Hands-on experience in one or more of the following areas: object detection/recognition/tracking, 3D computer vision, deep learning, semantic segmentation, augmented reality, visual odometry, SLAM; Experience in hardware accelerators, embedded systems, and robotics systems is a plus. ==Interested candidates==: Please email your resume to j.ukestad@samsung.com, with subject line "[Intern] Mobile Computer Vision + your name, your school".

Posted on: 2017-03-09 22:09:32 UTC

3D Computer Vision Engineer

OnSiteIQ|New York, NY

Company Description: OnSiteIQ is an emerging startup providing automated site documentation and safety analysis to the construction industry. Our mission is to enhance productivity and safety on construction sites by providing a novel and interactive platform Job Description: You will be developing computer vision algorithms in C++ based on construction video feeds in an emerging cutting edge Startup Company. This is a high-influence, high-responsivity position within an early-stage startup and your work will directly impact the future generation of the company. This is a unique opportunity to gain hands-on experience working at a startup and being part of a dynamic product rollout and launch. If you are an ambitious, independent self-starter, this position will be a great fit for you. Qualifications for this job are as follows: MS or Ph.D. degree in Computer Science, Computer Engineering, Electronics Engineering or other related/equivalent engineering program 5+ years of software development experience 2+ years of experience in 3D computer vision Proficiency in C++/Python Proficiency in Linux Experience with OpenCV and Eigen Experience with SFM, SLAM, DBoW, FABMAP, G2O

Posted on: 2017-03-09 02:06:12 UTC

Programmer/Developer in Machine Learning and Robotics

Ryerson university|Toronto, ON, CA

Position Announcement Programmer/Developer in Machine Learning and Robotics RMA Laboratory at Ryerson University, Toronto, Canada (February 2017) About the employer The Robotics, Mechatronics and Manufacturing Automation Laboratory (RMAL) was founded in 1997 and since then has been an active entity of Ryerson University. We are an interdisciplinary laboratory bringing people and projects related to Mechanical, Aerospace, Industrial, Biomedical, Electrical-Computer Engineering, Mechatronics, MEMS, and Computer Science. Our objective is to design and build in synergistic manner systems for advancing robotics and manufacturing automation. We take a broad approach of what constitutes good research and education, all measured by their industrial and social impact. Our research works span from quite applied to basic ones. The output from our research includes everything from ground-breaking papers to ground-breaking prototypes. Our team of industrial partners, faculty, graduates, and students creates unique opportunities for furtherance of our education, research and technology transfer goals. RMAL also welcomes inquiries from companies interested in participating in our research and development works as industrial members. Learn more at: www.ryerson.ca/~rmal Job description The opened position for a programmer/developer in robotics and machine learning is available through NSERC’s I2I program. The project goal is development and commercialization of a visual learning system for robot programming by demonstration. The leaning system employs a vision system for capturing tasks demonstrated by a human expert. The acquired demonstrated motions are processed and transferred into executable robot programs, which are utilized for reproduction of the demonstrated tasks by the robot learner. Job Duties and Responsibilities The candidate is expected to contribute to the project for visual robotic learning from human demonstrations. He/she will be expected to improve the existing system for visual learning developed in RMAL. The tasks include: modification of the current GUI for perception of human demonstrated motions and execution by a robot, and implementation of robust methods for trajectories generalization. A Microsoft Kinect sensor will be used for perception of demonstrated actions. The GUI is created in ROS and in Visual Studio using C#, and uses Kinect libraries and OpenCV libraries. The candidate is expected to have knowledge of image features extraction and tracking, as well as knowledge of machine learning algorithms, which are going to be used for generalization of human motions. The ideal candidate should be highly motivated and dedicated to the project. He/she will be expected to work collaboratively with a postdoctoral fellow, and as a team, they will put efforts into commercialization of the developed software package for robotic visual learning. Desired skills and experience Qualifications Required Minimum Qualifications Required: Bachelor’s degree or a graduate degree in Computer Science Minimum 3 years experience in programming with C++ or C# or ROS Strong background in Machine Learning and Computer Vision Ability to work independently, and in a team Knowledge in Robotics will be considered as advantage Additional Information: The position will be for 8 months with the potential for extension, subject to satisfactory performance and availability of funding. Anticipated starting date is as soon as possible. Salary is competitive and depends on the previous experience of the candidate. Preference will be given to Canadian residents. Contact: Interested individuals please contact Professor Farrokh Sharifi (fsharifi [at} ryerson.ca) by email with the SUBJECT: PROGRAMMER and provide the following documents: Candidate’s CV and contact details Contact information of three references Academic transcripts

Posted on: 2017-03-07 17:13:11 UTC

Research Intern

Siemens Corporate Technology|Princeton, NJ

Posted on: 2017-03-06 14:31:19 UTC

Research Scientist at Google Cloud AI/ML

Google|Mountain View

The newly formed Google Cloud AI/ML team is looking for superstar researchers! As a Research Scientist on the Cloud AI & ML team, you will be working on innovating and delivering the most advanced machine learning techniques to impact the world via Google Cloud. You’ll have the opportunity to collaborate with the best AI talents in the company, both inside Cloud as well as Google Research, DeepMind and other orgs. In short, you will be building what Eric Schmidt so often touts as the next big thing: machine learning for everyone. Our quest: To democratize AI for every one and every business. We do research differently here at Google. Our team of Research Scientists aren't cloistered in a secret lab but are embedded throughout the engineering organization, allowing them to set-up large-scale tests and deploy promising ideas quickly and broadly. You will stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Qualifications: Strong background in one or more of the following sub-fields of AI: Machine Learning, Deep Learning, Optimization, Computer Vision, Speech Recognition, Natural Language Processing, Medical Imagining and Healthcare, among others (surprise us! we love it!). PhD in Computer Science, related technical field or equivalent practical experience. History of strong contribution to research communities and/or efforts, including publications at top tier conferences (such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR, etc.), large citations, etc. Programming experience and proficiency in one or more of the following: C, C++, Python We values qualities such as imagination, innovation, ambition, communication, and intense curiosity. Responsibilities: Participate in cutting edge research in artificial intelligence and machine learning applications, including top-tier conference or journal publications. Develop solutions for real world, large scale problems, including collaboration with other parts of R&D at Google Cloud.

Posted on: 2017-03-05 00:45:23 UTC

Postdoctoral Position - Automated Facial Expression Analysis and Synthesis

CMU RI|Pittsburgh, PA

The Robotics Institute at Carnegie Mellon University seeks an outstanding postdoctoral or advanced pre-PhD candidate to work on automated facial expression analysis and synthesis. The position is a collaboration with behavioral scientists in the Department of Psychology at University of Pittsburgh under the direction of Professor Jeffrey Cohn. The postdoc will join an interdisciplinary and interinstitutional team with expertise in computer vision, signal processing, psychiatry, pediatrics, neuroscience, and behavioral science. They will have access to large, well-annotated databases of spontaneous behavior in both typical and clinical samples of adults, children, and infants in variety of interpersonal contexts. Clinical conditions include psychopathology (especially depression and trauma), pediatric disorders (e.g., craniofacial microsomia), and physical pain. Depending on specific projects, collaborating sites include University of Miami, University of Binghamton, University of Colorado, Rensselaer Polytechnic University, Brown University, University of Oregon, and Baylor Medical School. Background or experience in computer vision and machine learning with proficiency in Facial Action Coding System, Matlab, C++, Python, and CAFFE/Tensorflow is desirable. Depending on candidate interests, projects may include multi-label action unit detection and intensity estimation, domain transfer, expression transfer, measurement of asymmetry, modeling of interpersonal influence, and real time implementation on mobile platforms. To apply, please send via email the following to jeffcohn@cs.cmu.edu (a) A cover letter that includes statement of research interests, soonest available start date, and names and contact information of three references (titled LastName_Letter.pdf) (b) CV (titled LastName_CV.pdf) (c) Two representative publications In the subject field of your email, please include “Postdoc Application.”

Posted on: 2017-03-03 04:06:50 UTC

Several funded PhD positions at ETS Montreal: Deep learning for medical image analysis

ETS|Montreal

Applications are invited for several fully funded PhD positions at the ETS, Montreal, Canada. ETS is the fastest-growing and largest engineering school in Quebec, with an expanding team of highly qualified young researchers in image analysis, one of the priority areas of the school. In addition to its vibrant, multi-cultural life style, Montreal is currently becoming a hotspot of AI worldwide, attracting major industrial players, which offers excellent placement opportunities to graduate students. The successful candidates will work under the supervision of Prof. Ismail Ben Ayed. The positions are available immediately after the candidates pass ETS application requirements. Financial support is available for 4 years. Prospective applicants should have: • Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics, or electrical/biomedical engineering, preferably with expertise in one or more of the following areas: medical image analysis, machine learning, computer vision, pattern recognition, and/or optimization; • A good mathematical background; • Good programming skills in languages such as C, C++, MATLAB and/or Python. Application process: For consideration, please send a CV, names and contact details of two references, transcripts for graduate studies, and a link to a M.Sc. thesis (as well as relevant publications if any) to: Ismail.BenAyed@etsmtl.ca The working language is English (French is not mandatory at all). Further information and related publications can be found here: http://profs.etsmtl.ca/ibenayed/

Posted on: 2017-03-02 19:21:01 UTC

Postdoctoral Position - Machine Learning for Facial Image Analysis

EPFL|Lausanne, Switzerland

The Signal Processing Laboratory (LTS5) at EPFL (Lausanne, Switzerland) is recruiting an outstanding postdoctoral researcher to work on Machine Learning for Facial Image Analysis. Lead by Prof. Jean-Philippe Thiran, the LTS5 develops leading edge research in image analysis and computer vision, with a particular emphasis on facial image analysis, including 3D face reconstruction, facial expression recognition, lip-reading, eye tracking, etc. in close collaboration with the Istanbul Technical University (Prof. Hazım Kemal Ekenel). In the context of several industrial collaborations and of a large H2020 EU project dedicated to Advanced Driver Assistance Systems (Project ADAS&ME - http://www.adasandme.com), we have an open position for a postdoctoral research specialized in machine learning and facial expression recognition. Research will be primarily oriented towards developing innovative machine learning methods for personalized facial expression recognition. Details: - The position is for at least 2 years (1 year contract, renewable). EPFL offers attractive salaries, based on experience and excellence criteria - Post-doc fellows of exceptional caliber may also be granted responsibility for co-supervising a PhD student on a subject related to their research - Starting date is anytime between April 1 and October 1, 2017, with preference for an early start How to apply: Full applications and informal inquiries should be sent to Prof. Jean-Philippe Thiran by email. Full applications must be in the form of a single pdf file including: a motivation letter describing your research interests and your match to the advertised position, your CV and publication list, and names and email address of 3 references. Screening of candidates will start in March 2017. Desired skills and experience: - Candidates will have an outstanding profile and hold, or be about to finish, a PhD in electrical engineering, applied mathematics, computer science or a related area - Strong competences in image processing and machine learning are required, including deep learning, model adaptation, face reconstruction and analysis - Good programming skills (C++ or equivalent) are required About the employer: The Ecole Polytechnique Fédérale de Lausanne (EPFL - http://www.epfl.ch/index.en.html) is an internationally top-ranked scientific research and educational institution on the shores of Lake Geneva, Switzerland. As one of two Swiss Federal Institutes of Technology, its trajectory over the past four decades is unparalleled—taking the lead in emerging fields of research such as bioengineering, signal processing and energy / transportation technology. Under the leadership of Professor Jean-Philippe Thiran, the Signal Processing Laboratory (LTS5) of EPFL counts some 30 researchers, both PhD students and post-docs, conducting leading edge research in different domains of signal/image analysis and computer vision, including data acquisition and reconstruction, object detection, recognition and tracking, behavioral models in image analysis, facial image analysis, medical and remote sensing imaging.

Posted on: 2017-03-02 12:09:49 UTC

PhD position in Deep Learning and Remote Sensing

Onera & Telecom Paristech|Paris, France

Onera in collaboration with Telecom Paristech invites applications for a PhD studentship to undertake research in the fields of machine learning and remote sensing. Subject is "Deep networks for multi-temporal activity analysis of Earth-observation data". # Short description : Last years have seen the massive adoption of deep learning techniques for various tasks in computer vision. In remote sensing and Earth-observation data analysis, our team has developed algorithms for classification and detection which have established new state-of-the-art performances. With this new PhD thesis, we now want to discover how deep networks can help understanding the multitemporal satellite image series. Research axis will include : * Semantic classification of aerial and satellite images * Deep Learning architectures * Investigating standard tools of image comparison in the context of deep network analysis. * Big data # Links for full description : https://www.adum.fr/as/ed/voirproposition.pl?site=adumfr&matricule_prop=14566 http://sites.onera.fr/formationparlarecherche/theses-dtim (ref. TIS-DTIM-2017-008) The successful candidates will work with : Pr. Yann Gousseau http://perso.telecom-paristech.fr/~gousseau/index_eng.html Alexandre Boulch https://sites.google.com/view/boulch/home Bertrand Le Saux http://www.onera.fr/en/staff/bertrand-le-saux at Onera ( http://www.onera.fr/en ) and Telecom Paris Tech ( https://ltci.telecom-paristech.fr/en/ ), located in Palaiseau, near Paris, France .

Posted on: 2017-02-28 09:21:06 UTC

Analysis of High-Resolution Microscopy

Institute of Biomedical Engineering|Oxford

This post is associated with the Wellcome Trust funded cluster for the development of dynamic 3D nanoscopy. The ambitious goal of this 5-year programme is to understand fundamental cellular processes such as how the Golgi complex operates or precisely how cells undergo polarised secretion requires their dynamic observation at the tens of nanometre scale. We will achieve this goal accelerating practical developments in super-resolution microscopes – specifically, stimulated emission depletion (STED) and single molecule localisation microscopes (e.g PALM, STORM, etc.). This project is an interdisciplinary, international collaboration with physicists and biologists based in Yale University, USA and the University of Cambridge, UK. The overall research programme “Nanoscopy of dynamics in the living cell” is led by Prof James Rothman of Yale University (recipient of the 2013 Nobel Prize in Physiology or Medicine) and Prof Daniel St Johnston of the Gurdon Institute, Cambridge. You will be developing state of the art image analysis algorithms that will allow the automatic identification and assessment of sub-cellular structures. We aim to learn statistical shape models from data extracted from electron micrographs. These models will be used as prior information for analysing the dynamic 3D nanoscopy data. It is expected that you will make use of the latest computer vision and machine learning techniques to address this problem. Your work will make a crucial contribution to optimising the information that can be extracted from these large and complex image data set and enable new biological discoveries. As part of this project you will be contributing to an open source platform that facilitates the visualisation and analysis of nanoscopy data. You will be working directly with biologists to identify the concrete objectives of the image analysis work.

Posted on: 2017-02-27 16:28:28 UTC

Post-Doctoral Associates and Research Scientist

New York University, Abu Dhabi|Abu Dhabi, UAE

We are seeking outstanding and enthusiastic researchers, with background in machine learning and computer vision, to work on developing state-of-the-art techniques on computer vision, graphics and image processing technologies for a broad range of practical applications. The ideal candidates are expected to be active in conducting cutting edge research, and also enthusiastic about turning research into high-end publications on top-tier conferences and highly recognized journals like Siggraph, Eurographics, SMI, SPM, SGP, CVPR, ICCV, ECCV, NIPS, MICCAI, PAMI, IJCV and so on. We also encourage candidates to innovate the original ideas to establish leadership in the research community and pursue research collaborative relationships with top universities world widely. The postdoc training will prepare yourself ready to conduct independent research in your future careers. MMVC Lab is a young research group currently located in Center for Science and Engineering, NYU Abu Dhabi. We are actively seeking talents to enhance the research in our group.

Posted on: 2017-02-26 17:39:13 UTC

Machine Learning Engineer Fellow

Uru|New York

Company Description Uru (http://www.uruvideo.com) uses computer vision and machine learning technology to create content-aware, unobtrusive ad experiences for video and more immersive mediums like AR and VR. We are a company that puts engineering first. We are four engineers with graduate degrees from schools like Cornell, Texas Tech, Koç, and LUMS, as well as industry experience at companies like Amazon, JP Morgan, and Mashable. Our investors include Cornell University, Notation Capital, Betaworks, and Alex Chung of GIPHY. Our advisors include an all-star machine learning professor from Cornell as well as founders from Clarifai and Undertone. And our technology, which has won awards across the globe, is currently being tested by some of the largest media companies in the world. Computer vision, machine learning, and video are inherently rewarding to work with, but we have made working with them even more enjoyable by fostering a company culture that prizes innovation, openness, and autonomy. Responsibilities: We would like to have a Machine Learning Engineer Fellow join the team for the summer of 2017. In short, what we are looking for is a rockstar engineer with machine learning experience. Your exact responsibilities at Uru will vary according to your background and what your interests are. But some things you might work on include: - Scaling our current architecture and working with our backend engineers to improve and implement new features to our product and APIs; - Improving our current computer vision models and working with the researchers to create new ones; - Developing on our machine learning and NLP models to increase overall accuracy and discover useful new features we can extract from the data we collect; - Tracking and analyzing customer behavior as well as the performance and effectiveness of our technology in the world; Your Profile: * BS, Masters, or PHD student in Computer Science or a related field. * Strong programming background in Python and/or Java * (Optional) Experience with video processing * (Optional) Experience in computer vision * (Optional) Experience in designing APIs * (Optional) Research in the computer vision, machine learning, and image processing fields (Published papers, open source tools, etc…) Location: We work from the 38th floor of the New York Times Building, in a modern, sun-filled space with beautiful views of Manhattan.

Posted on: 2017-02-25 20:53:21 UTC

Senior scientist in computer vision

OSRAM|Munich, Germany

We are seeking a passionate full-time senior scientist in computer vision. Core responsibilities imply research and development in scene understanding and multi-class detection and recognition, with specific focus on outdoor scenes. Previous research expertise in action recognition, pose estimation and tracking are welcome, as well as personal initiative in defining new pathways in smart lighting. We request a strong awareness of state-of-the-art techniques and an international publication record in computer vision or related fields. Ability to program in C/C++ is essential. Other programming languages, communication skills and team play are desirable. We provide equal opportunities to all applicants and favor diversity. Please contact Dr. Fabio Galasso (f.*surname*@osram.com). Send to him CV, cover letter, publication list and contact details of 3 referees.

Posted on: 2017-02-25 07:09:48 UTC

Postdoc (1) & PhD (2) - Medical Image Analysis

ETS Montreal|Montreal, Canada

► ETS Montreal has openings for (1) Postdoctoral Fellows and (2) PhD candidates in the field of Medical Image Computing - an interdisciplinary field at the intersection of Computer Vision, Machine Learning and Medicine (contact herve.lombaert@etsmtl.ca) – Applications are invited for candidates interested in Modeling and Exploiting Shapes and Data in Medical Imaging. Your research will focus on discovering new geometrical aspects of anatomy, diseases and various biological phenomena, with models derived from Machine Learning, Computer Vision, and Medical Imaging. ► POSITION: ETS Montreal is the Youngest and Fastest-Growing Engineering School in Montreal. It is now starting a new team on Shape and Data Analysis in Medical Imaging, with ample opportunities to collaborate with the best teams in North America and Europe. – Located in vibrant Montreal, you will experience a unique blend of North American and European culture with one of the lowest cost of living on the continent. Competitive tax-free salaries can be toped up with generous awards and scholarships. – Working language is English. ► EDUCATION: – Graduate degree in Computer Science or related field – Strong background in Mathematics and good programming skills – Experience in Machine Learning, Computer Vision and/or Medical Imaging – Desired track record of publication in top conferences or journals ► APPLYING: – Include Statement of Interest (Why research, why together?) – CV with list of publication and names of 3 references – Applications to be sent to Prof. Hervé Lombaert (herve.lombaert@etsmtl.ca) – More at http://profs.etsmtl.ca/hlombaert/jobs.php

Posted on: 2017-02-24 23:16:02 UTC

Sr Research Engineer - Computer Vision/Deep Learning

HERE|Chicago

HERE, the Open Location Platform company, enables people, enterprises and cities to harness the power of location. By making sense of the world through the lens of location we empower our customers to achieve better outcomes – from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. To learn more about HERE, including our new generation of cloud-based location platform services, visit http://360.here.com Join a team of highly skilled and innovative engineers to work on large-scale Deep Learning problem. Join us in building the most precise and detailed digital map in the world. This is an excellent opportunity to work with an energetic and dedicated team on highly visible, technology-driven problems with a direct connection to the success of the company. No prior experience in the domain of Maps is required. We are looking for people who remain learners throughout their career, and whose inquisitiveness and love of technology will propel our products forward. • PhD or MS in Computer Science or Electrical Engineering or related field • 1+ year working experience with and/or publishing in Deep Learning • Experience with computer vision, image processing and deep learning (CNN,RNN,etc) • Experience with Caffe, Tensorflow or other model training software • Fluent in Python • Fluent in C++ on a Linux platform • Experience working with open source project/enterprise software is a plus. Preferred qualifications: • Experience with OpenCV and PCL preferred. • Expert in working with and publishing in Deep Learning(desired) • Experience working with open source projects/enterprise software (revision control, continuous integration, etc.) HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Posted on: 2017-02-24 17:42:12 UTC

Sr Research Engineer - Computer Vision/Deep Learning

HERE|Chicago

HERE, the Open Location Platform company, enables people, enterprises and cities to harness the power of location. By making sense of the world through the lens of location we empower our customers to achieve better outcomes – from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. To learn more about HERE, including our new generation of cloud-based location platform services, visit http://360.here.com Join a team of highly skilled and innovative engineers to work on large-scale Deep Learning problem. Join us in building the most precise and detailed digital map in the world. This is an excellent opportunity to work with an energetic and dedicated team on highly visible, technology-driven problems with a direct connection to the success of the company. No prior experience in the domain of Maps is required. We are looking for people who remain learners throughout their career, and whose inquisitiveness and love of technology will propel our products forward. • PhD or MS in Computer Science or Electrical Engineering or related field • 1+ year working experience with and/or publishing in Deep Learning • Experience with computer vision, image processing and deep learning (CNN,RNN,etc) • Experience with Caffe, Tensorflow or other model training software • Fluent in Python • Fluent in C++ on a Linux platform • Experience working with open source project/enterprise software is a plus. Preferred qualifications: • Experience with OpenCV and PCL preferred. • Expert in working with and publishing in Deep Learning(desired) • Experience working with open source projects/enterprise software (revision control, continuous integration, etc.) HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Posted on: 2017-02-24 17:42:11 UTC

Computational Image Analysis Core Manager

St. Jude Children's Research Hospital|Memphis, TN

Posted on: 2017-02-21 22:08:09 UTC

Research Fellow Positions in Machine Learning in Medical Imaging

Boston Children's Hospital, Harvard Medical School|Boston, Massachusetts

The Computational Radiology Laboratory (CRL) at Boston Children’s Hospital is seeking research fellows to develop image processing and machine learning methods for medical imaging in projects funded by the National Institutes of Health. The researchers at CRL develop highly innovative technologies and advanced imaging and image processing methods in C++ and Python to improve the analysis of magnetic resonance imaging of brain development. CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations, and technology, with several top-rank universities, top-rank hospitals, and medical research centers, as well as bioinformatics and biotechnology companies. Candidates with a PhD in computer science, electrical or biomedical engineering, medical physics, or a related field with a research focus on machine learning, computer vision, biomedical image processing/medical image computing, and/or magnetic resonance imaging are encouraged to apply. Experience in high-performance programming with C++ and Python, medical image processing and machine learning, and record of high-quality publications in the field are expected. To apply, please send your CV along with a copy of a technical paper, the desired start date, and one paragraph statement of goals to ali.gholipour@childrens.harvard.edu

Posted on: 2017-02-19 04:50:08 UTC

Principal Computer Vision Scientist

Amazon Robotics|Boston, MA

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Amazon Robotics is seeking an expert Robotics Scientist for the Perception group to help create new automation solutions that improve overall system efficiencies through the use of advanced technologies. The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of manipulation and vision techniques for task automation. This position reports to the Director of Advanced Robotics. The Principal Robotic Scientist will be responsible for: •Designing highly scalable, large enterprise software solutions involving computer vision •Developing complex perception algorithms integrating across multiple sensing devices •Delivering new technology platforms with the highest levels of performance, reliability, and usability •Resolving complex issues in creative, efficient, and effective ways •Deep diving on key development and architectural decisions •Maintaining high level of communications •Representing Amazon Robotics in the broader machine vision industry through publications and scientific presentations

Posted on: 2017-02-16 16:24:49 UTC

Research Scientist, PhD

Mercedes-Benz Research and Development India|Bengaluru, India

Summary : The ideal candidate should have a doctoral degree in Machine Learning or Computer Vision with exposure to deep neural networks in any of the areas related to image and/or video processing. The research scientist will work with a dynamic team of programmers and algorithm developers to realize gesture recognition algorithms for a production vehicle. Basic Education: PhD in Computer Science or related field with focus machine learning / computer vision. Necessary Skills: Experience with object classification, gesture recognition or human pose estimation. Project experience involving algorithm development for computer vision applications. Demonstrated past algorithm development in at least one area within machine learning like neural networks, clustering, object tracking. Exposure to at least one of the neural network libraries like Caffe, Torch, Theano, CNTK or TensorFlow Self-motivated individual with passion towards state-of-the-art computer vision technologies. Clear communication skills (English) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods and linear algebra

Posted on: 2017-02-16 13:46:21 UTC

Senior computer vision/Machine learning researcher

Aindra Systems|Bengaluru, India

We need a computer vision engineer/researcher who is experienced in deep learning to work on cancer diagnosis. We are a small company working on problems that have a high social impact. We are funded by a number of prestigious organizations including Department of Biotechnology, Ministry of Science & Technology, United States – India Science and Technology Forum and Villgro to name a few. If you are interested in working on research projects that have an impact on society, and in the process take part in cutting edge research, collaborate with best universities in the work and publish in top conferences, contact us You can find the full JD here https://drive.google.com/open?id=0BwFKmBhdfEtZUjh1cWJxOXBoQ1JXQ1JvRExOa1ZvV0RSaFUw

Posted on: 2017-02-16 07:01:28 UTC

Research Scientist Computer Vision

RetailNext, Inc.|San Jose

RetailNext is the worldwide market leader and expert in brick-and-mortar retail analytics. We track more than a billion shopping trips per year by collecting data from nearly 100,000 sensors in retail stores and analyze trillions of data points annually. Headquartered in San Jose, CA, RetailNext is a growing global brand operating in more than 40 countries. Cutting-edge Computer Vision is at the core of the RetailNext's suite of proprietary technologies. Our R&D team works on problems ranging from multiple object tracking and facial analysis, to image registration, mosaicking, and 3D reconstruction. We recently branched out from our roots as a software company by designing and building our own cloud-managed stereo sensor, Aurora, that features onboard shopper detection and tracking analytics using video, in addition to WiFi and Bluetooth-based analytics and on-board HD video recording. The need to understand shopper behavior drives us to do novel research in object, action, and gesture recognition, and we are looking for a Computer Vision Research Scientist to join our R&D team to help with those efforts. You will have an enormous opportunity to conduct applied research and development in Computer Vision and Machine Learning, that will become part of real-time applications analyzing visual data across hundreds of thousands of sensors worldwide. In particular, you will be involved in exploring and developing CV/ML techniques to perform object detection; including parts based modeling and inference, and training and using SVM/LSVM classifiers, convolutional neural networks and deep networks as detectors. These techniques will be applied towards solving real world problems like human, upper body, head, and face detection, facial landmark detection, recognition, and pose estimation in challenging “in-the-wild” environments. Your research will create intellectual properties, leading to patents and/or publications in international conferences and peer-reviewed journals. The position requires a Ph.D. in Computer Vision or Machine Learning. The position also requires a proven research track record of peer-reviewed journal/conference publications in top-tier venues. Strong programming skills in C/C++, MATLAB and rapid prototyping experience is required. Responsibilities -Develop state-of-the-art computer vision algorithms for object detection, classification, and recognition -Prototype hardware and software solutions for detection, classification, and recognition -Develop computer vision techniques for object detection: devising discriminative features, parts based modeling, SVM/LSVM classifiers or CNN based detection; and for facial analysis: face detection, landmark detection, -recognition, classification, and pose estimation -Contribute research applicable to RetailNext product development -Develop robust software for integrating multiple sensors and tracking systems Requirements -PhD in Computer Science or Electrical Engineering with a focus on Computer Vision, or Machine Learning -Track record of peer-reviewed journal/conference publications or patents in Computer Vision, or Machine Learning -Hands-on experience with learning based object detection -Working knowledge of supervised and semi-supervised learning, discriminative and generative classification, discrete optimization, and multi-view geometry -Experience with computer vision/machine learning libraries such as OpenCV, Matlab -Experience building systems integrating input from multiple sensor modalities

Posted on: 2017-02-15 21:37:28 UTC

Deep learning/Computer Vision Research Engineer

HERE Map|chicago

HERE is a leader in navigation, mapping and location experiences. We combine highly accurate and fresh maps with cloud technology to enable rich, real-time location experiences in a broad range of connected devices – from smartphones and tablets to wearables and vehicles. Built on 30 years of experience in cartography and drawing on more than 80,000 sources of data, HERE offers "Maps for Life" for more than 200 countries, voice guided navigation in 95 countries in more than 50 languages and live traffic information for 58 countries. To learn more about HERE, including our work in the areas of connected and autonomous driving, visit http://360.here.com or https://company.here.com/here/ Join a team of highly skilled and innovative engineers to work on large-scale Deep Learning problem. Join us in building the most precise and detailed digital map in the world. This is an excellent opportunity to work with an energetic and dedicated team on highly visible, technology-driven problems with a direct connection to the success of the company. No prior experience in the domain of Maps is required. We are looking for people who remain learners throughout their career, and whose inquisitiveness and love of technology will propel our products forward. Qualifications PhD or MS in Computer Science or Electrical Engineering or related field 1+ year working experience with and/or publishing in Deep Learning Experience with computer vision, image processing and deep learning (CNN,RNN,etc) Experience with Caffe, Tensorflow or other model training software Fluent in Python Fluent in C++ on a Linux platform Experience working with open source project/enterprise software is a plus. Preferred qualifications: Experience with OpenCV and PCL preferred. Expert in working with and publishing in Deep Learning(desired) Experience working with open source projects/enterprise software (revision control, continuous integration, etc.)

Posted on: 2017-02-15 15:41:53 UTC

Deep Learning Engineer

Matterport|Sunnyvale, CA

Are you a computer vision expert with experience with deep learning? Matterport has the world’s largest dataset of aligned RGB-D images--200 million images from 220,000 different locations, and we want you to help us learn from it. We have a broad agenda for deep learning, including semantic labeling and segmentation, 3D object classification and pose estimation, depth from RGB, estimation of unseen 3D surfaces, texture/depth in-filling, keypoint matching, and dense stereo. Matterport is a Series C startup that has developed a 3D camera and an end-to-end 3D platform that allows anyone to create, edit, and share 3D models of real-world spaces. Our tools are already used by thousands of professionals in a variety of industries, including real estate, construction, retail, hospitality, travel, and location-scouting, You can see some of the spaces captured by our customers at https://matterport.com/gallery/ RESPONSIBILTIES Analyzing complex algorithms and developing new ones Working with fuzzy, real-world data Optimizing for performance when appropriate QUALIFICATIONS We care the most about general ability to learn new things, but specific, directly relevant experience is, of course, desirable. 2+ years of experience in computer vision, 5+ preferred Experience applying deep learning to computer vision problems Familiarity with common deep neural net architectures The ability to work independently and write clean, stable code BS, MS, or PhD in Computer Science or a similar field Familiarity with 3D graphics is a plus Matterport is an Equal Opportunity Employer and values diversity. We do not discriminate on the basis of race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are committed to providing employees with a work environment free of discrimination and harassment.

Posted on: 2017-02-15 01:11:05 UTC

Computer Vision Researcher

Matterport|Sunnyvale, CA

At Matterport, we’re bringing high quality 3D reconstruction to the world by aggressively innovating in computer vision and other areas. We’ve already built an amazing 3D reconstruction system, but we have a lot of work planned to make it even better. We’re developing new computer vision algorithms, new 3D capture techniques, new scene understanding capabilities, new ways of experiencing and navigating 3D content, and new applications for various markets. Role and Responsibilities: We’re seeking a software engineer with computer vision experience whose focus will be determining the most promising product and technical directions for new features and capabilities that are 6-18 months out. You’ll research these directions for technical feasibility and customer value, and develop them to the proof-of-concept stage for hand-off to engineering. In some cases, you may also be responsible for directly contributing production code. Areas of computer vision work may include innovations in point cloud alignment, generation and texturing of 3D meshes from point clouds, SLAM, structure for motion and 3D scene understanding. Matterport’s computer vision codebase is in C++. We’re looking for someone who can work independently, collaborate well with other team members, and write clean, stable code. We care most about the ability to learn new things, but specific, relevant experience is always desirable. QUALIFICATIONS Proficiency in C++ and strong general programming skills. 5+ years of software development experience. Proficiency at understanding computer vision research papers and inventing mathematically sophisticated algorithms. Basic familiarity with 3D computer graphics. Excellent communication skills. Matterport is an Equal Opportunity Employer and values diversity. We do not discriminate on the basis of race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are committed to providing employees with a work environment free of discrimination and harassment.

Posted on: 2017-02-15 01:10:09 UTC

3D Computer Vision Engineer

Matterport|Sunnyvale, CA

Matterport is a fast-growing startup that is shaking up the 3D world. Our team has developed an end-to-end hardware and software solution that allows anyone to create, edit, and share 3D models of real-world spaces. Our tools are already used by thousands of professionals in a variety of industries, including real estate, hospitality, entertainment, media, and location-scouting. Our dedicated users create over 20,000 models per month, and these models have been viewed over 70 million times. Responsibilities As a member of the computer vision team, you’ll be responsible for developing robust completely-automated computer vision algorithms to handle any real-world environment these users can throw at us, from small objects captured with mobile devices all the way up to massive stadiums. In the past year, our team has developed a mobile scanning app for Google Tango, delivered dramatic improvements in high-dynamic-range panoramic image quality, and helped the company expand into virtual reality with improved navigation, more accurate geometry, and semantic room modeling. We work on a broad range of technologies, including point cloud alignment, generation/texturing of 3D meshes from point clouds, 3D mesh manipulation, camera calibration, SLAM, multi-view stereo, machine learning, and semantic understanding. And we’ve collected a massive database of complex real-world data that we can use to validate our approaches. If the combination of real data, real users, and cutting-edge research appeals to you, then we’d love to talk! Qualifications Proficiency in C++ is a must! Experience with tools such as OpenCV, Eigen, Ceres Solver, or TensorFlow is a bonus 5+ years of software development experience preferred 2+ years of experience in computer vision or related area required. Matterport is an Equal Opportunity Employer and values diversity. We do not discriminate on the basis of race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are committed to providing employees with a work environment free of discrimination and harassment.

Posted on: 2017-02-15 01:09:07 UTC

computer vision scientist

wrnch|Montreal

Role and Responsibilities We are now recruiting computer vision scientists at all levels to help us to build out the SDK’s computer vision capabilities. As a wrnch scientist, you will work closely with the wrnch development team on the successful and timely ongoing delivery of the SDK and related projects. The ideal candidate is a driven and talented scientist with a proven track record of quickly solving difficult technical problems and a hunger to use computer vision and machine learning to positively impact millions of lives. Responsibilities Develop algorithms and CNNs to power the computer vision capabilities of the wrnch SDK Perform scientific analysis and share insights and best practices across the development team Requirements Ph.D. in Computer Science, Engineering or related field specializing in computer vision Self-directed Fast learner Nice to Haves Passion for developing applications in any of the following domains: computer vision, video games, computer graphics, AR or VR Nonetheless, a proven passion for excellence trumps any specific experience. Please note: At this time, we can only hire candidates with valid Canadian work permits.

Posted on: 2017-02-13 14:54:41 UTC

Deep Learning & Computer Vision Developer

RAD|New York City

RAD is building a real-time, software-only, end-to-end deep-learning implementation to detect and analyze the human body measure in real time in any environment from any consumer device. It is our mission to become the dominant provider of body detection solutions in the context of AR, VR, MR, etc. in consumer devices and enterprise environments. We are looking to add a deep learning & computer vision developer to join at the senior level. The position comes with significant equity and commensurate responsibility to lead a stellar CV/ML team to build the next big thing in an agile and fun startup environment in NYC.

Posted on: 2017-02-13 14:53:19 UTC

Research Scientist in Computer Vision & Deep Learning

Yahoo Research|New York City

Yahoo Research NYC is looking for junior and senior level Research Scientists in Computer Vision and Deep Learning. Computer Vision at Yahoo Research tackles some of the most interesting real-world problems in image and video understanding. Powered by Yahoo's massive repository of multimedia content, we conduct research and development in a variety of areas including visual recognition, visual saliency detection, vision/language, visual aesthetics and creativity; and, we do so by applying our expertise in computer vision, machine learning, and deep learning. Our work has direct impact on many of Yahoo's flagship products by powering core technologies such as multimedia metadata enrichment, search and recommendation, video highlight detection and summarization, and search by visual content. We will challenge your brain every day, and when you succeed you will change the lives of hundreds of millions of people, allowing them to do things they never dreamed they could do. Come join us and use your scientific background to drive Yahoo-scale innovation! We strongly encourage our team members to stay abreast of novel academic work and publish papers and/or patents when appropriate. We also release open-source projects and datasets. This is an exciting opportunity to apply your computer vision skills to the 10 terabytes of data that Yahoo captures every day. Your Day : (1) Design and carry out both fundamental and applied research in large-scale image and video understanding. (2) Work closely with engineers to develop prototypes and transfer research to new products, new processes, and/or new business areas. (3) Actively participate in the academic community and publish high quality research. (4) Collaborate with academics and students from top universities on novel research ideas. You Must Have : (1) Ph.D. in Computer Vision, Multimedia, Deep Learning, Machine Learning, AI or a related field. (2) 5+ years of research experience in computer vision, multimedia, deep learning, machine learning, and AI methodology. (3) Publications in top-tier conferences and journals in related fields (e.g., CVPR, ECCV, ICCV, NIPS, ICML, ICLR, etc.). (4) Strong algorithmic problem solving and software development skills (C/C++, Python, Java, etc.). (5) Excellent communication & writing skills.

Posted on: 2017-02-13 13:59:44 UTC

PhD Summer Research Internship in Computer Vision & Deep Learning

Yahoo Research|New York City

The Computer Vision Group at Yahoo Research NYC is looking for an outstanding PhD intern Research Scientist for the Summer 2017. We are looking for candidates with expertise in Computer Vision and Deep Learning, with prior research experience in one of the following: large-scale visual recognition, language and vision, video understanding, video summarization, computational aesthetics and creativity, and generative modeling. This year, we are specifically looking for someone with experience in generative modeling, such as Generative Adversarial Networks and Variational Autoencoder. We are located at the heart of Manhattan, New York -- just a few steps from the Times Square. The candidate will work on research projects and have a chance to publish at top-tier conferences in Computer Vision and Multimedia. The candidate will work with a team of Research Scientists and Engineers tackling real-world problems involving Yahoo's web-scale multimedia data (e.g., Flickr, Tumblr, Yahoo Sports, Yahoo News, Yahoo Finance, etc.). To apply, the candidate must be currently enrolled in a PhD program. Application Instructions: Send your CV with a link to your academic website to computer-vision-interns@yahoo-inc.com

Posted on: 2017-02-13 13:56:36 UTC

Research Fellow

NUS|Singapore

Research Fellow positions are available at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). These positions are to investigate visibility enhancement or to develop robust motion algorithms that are robust to extreme outdoor conditions such as rain, dust, haze, as well as under night-time and underwater conditions. The successful candidate should have a Ph.D. or equivalent degree, and he/she should have a strong background in computer vision. Strong publication records in internationally recognised conferences or journals are preferred. Email your CV to: eleclf (att) nus.edu.sg and robby.tan (att) yale-nus.edu.sg

Posted on: 2017-02-13 03:24:03 UTC

Multiple Faculty Positions in Electrical and Computer Engineering

Nazarbayev University|Astana

Nazarbayev University's School of Engineering invites applications for full-time faculty positions in the Department of Electrical and Electronic Engineering to begin in August 2017. We are primarily interested in candidates at Assistant Professor rank (or higher rank for exceptional cases) with expertise in the following broad application areas: RF and Microwave Communication Circuits (REF: ECE RF) Power Systems and Smart Grids (REF: ECE PS) Signal Processing Circuits and Systems (REF: ECE AC) Digital Circuits and Computer Architecture (REF: ECE DC) Embedded Systems and Signal Processing (REF: ECE ES) Big Data and Machine Learning (REF: ECE ML) We seek candidates with a commitment to excellence in both research and teaching. Applicants should have been awarded a Ph.D. or equivalent degree within last 15 years, and are expected to have publications in top ranked journals/conferences in the areas of their expertise. Experience in industry and the alignment with thematic areas of the department would be favorably considered. Review of applications begins in March 2017 and continues until positions are filled. Only shortlisted candidates will be notified. Interested candidates are encouraged to find out more about NUSENG at seng.nu.edu.kz and departmental information at www.nuece.info. Skype interviews for shortlisted applicants will be scheduled during March/April, 2017. To Apply, please email a cover letter and CV, together with the names and contact details of two referees to the Dean of the School, Dr. Erkan Topal through online submission form avaliable at https://seng.nu.edu.kz/home/working-here/academic-openings/. For priority consideration, application materials must be received by March 10, 2017.

Posted on: 2017-02-11 08:20:13 UTC

Deep Learning Research Engineer (Full time or Internship)

NovuMind|Silicon Valley

NovuMind is dedicated to improving lives through the creation of Thinking Things. Leveraging our bleeding edge Artificial Intelligence technology, NovuMind combines big data, high-performance supercomputers, and heterogeneous computing to transform the Internet of Things (IoT) into the Intelligent Internet of Things (I²oT). If you are an ambitious, imaginative, independent self-starter who work well on teams, come join our world class team of scientists and engineers to solve high impact problems. You will be working with/on one of the fastest supercomputers ever built dedicated to solving real world machine learning problems at scale. We have multiple job openings in the following areas: Deep Learning, Unsupervised Learning, CNN, RNN, LSTM, GAN, Caffe, Torch, Tensorflow, MXNet Computer Vision: Action Recognition, Face Recognition, Image & Video Captioning, Object Detection and Tracking, Segmentation, Image and Video Synthesis Medical imaging and diagnosis Speech Recognition: voice commands, conversational High Performance Computing, Parallel Computing, Distributed Computing Embedded Linux C/C++, OpenCV, CUDA/OpenCL, CUDNN, DSP If needed, US work visa and permanent residency application sponsorship are available for full time candidates. NovuMind is an E-Verify company. Please email your CV to Kar Han Tan at jobs@novumind.com

Posted on: 2017-02-10 14:48:46 UTC

PhD student/Research Assistant

Singapore University of Technology and Design in collaboration with MIT|Singapore

We are seeking for PhD students to work on research projects related to computational models of the human vision system, deep learning and their applications to computer vision and artificial intelligence. The expected duration of the PhD program is 4 years. Requirements: strong knowledge in machine learning (deep learning) (i) excellent programming skills, (ii) strong interest on human vision, (iii) knowledge of high performance distributed computing. Application Instructions: Contact Dr. Gemma Roig, gemmar at mit dot edu. Include CV, one selected publication, grades and email address of at least one reference.

Posted on: 2017-02-09 21:13:30 UTC

Computer Vision Engineer in a Drone startup

Gettrik ltd. |London, UK

The task involves stitching a video into one big overview image in real-time and communicate with drones’ SDK to automate data capturing. You have the freedom to develop the algorithm anyhow you like and crash as many drones you could along the way. It is a very simple concept but technically hard to solve. ---- This is the place you can make a real difference and instantly see the result of your hard work. You need to like rapid prototyping and working with drones. Ideal candidates need to have a strong understanding in computer vision. Previous experience with image stitching and/or familiar with App development are a plus. Ideal candidates are curious, innovative and like to work in an agile startup environment. ---- We are a small company, but we have won several innovation awards/recognitions from the government and other technical bodies. We want someone who shares the same passion and want to grow with us. Salary and Equity can be discussed. Contact me at Pae@gettrik.com

Posted on: 2017-02-09 17:18:50 UTC

Deep Learning Research Intern

Vipshop (US) Inc|San Jose

Vipshop US is looking for outstanding research interns with a passion for researching and developing deep learning algorithms and systems. Ideal candidates are focused, collaborative, curious, and have a strong background in one or more of the following fields: • Computer vision • Natural language processing • Deep learning / machine learning As a research intern, you will collaborate with and support a team of research scientists to tackle various computer vision / deep learning problems in the fashion domain. Your contributions will also ideally lead to either a research paper or a viable project. Desired Skills & Experience • PhD/MS candidate or exceptional undergraduate student in a relevant research field. • Understand model architectures such as CNN, RNN, attention models and optimization methods for deep neural nets. • Experience with deep learning libraries such as Tensorflow, Torch, Caffe, Mxnet, Pytorch, etc. • Programming skills in Python, Lua, C++, Java, etc. • Publications in major conferences such as CVPR, ICCV, ECCV, ICML, NIPS, ICRL, ACL, AAAI, IJCAI, etc. is a plus. Added Advantage • Bilingual in English and Chinese is a plus Job Benefits Competitive salary based on experience. Enthusiastic and intelligent coworkers, startup environment backed by strong financially successful company listed on NYSE

Posted on: 2017-02-08 23:07:21 UTC

Computer Vision Researcher

Mobile Processor Innovation Lab- Samsung Research America|Richardson, TX

Title: Computer Vision Researcher Company/Institution: Samsung Research America Location: Richardson, TX Department: Mobile Processor Innovation Lab Position Summary: The Samsung MPI Lab is currently looking to fill multiple positions in the Mobile Computer Vision team. As part of the vision team, you will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms’ ability to understand visual environments and interact with users. You will also demonstrate efficient SW and HW implementations on current and/or upcoming Samsung mobile platforms. The work at MPI lab is part of Samsung Mobile’s global R&D effort and has a direct impact on future Samsung Mobile products reaching millions of users worldwide. Responsibilities: -Identify areas of differentiation and innovation around mobile camera vision by leveraging new and existing vision algorithms and vision-based user interfaces -Conceive, develop, and demonstrate new augmented reality applications and new basic technology for augmented reality -Prototype algorithms in Matlab, C/C++ -Understand the constraints of mobile systems and use that understanding to deliver feasible and efficient algorithms -Demonstrate the feasibility and usability of the technologies in embedded SW and HW -Work with HW architects to define next generation HW IP and platforms to implement/run the algorithms in a power/performance-efficient manner Qualifications: -MS/PhD in Computer Science/Electrical Engineering/Computer Engineering or similar technical degree. Ph.D. degree is preferred. -Hands-on experience in one or more of the following areas: object recognition, optical flow and tracking, multi-sensor fusion, 3d vision, augmented reality -Strong communication skills -Experience in 3d registration/reconstruction/modeling is desirable -Experience in hardware accelerators is a plus

Posted on: 2017-02-08 17:29:58 UTC

[Intern] Mobile Computer Vision

Samsung Research America|Richardson, Texas

The Samsung MPI Lab in Richardson, Texas, is looking to fill multiple positions in the Mobile Computer Vision team. As part of the vision team, you will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms ability to understand visual environments and interact with users. By creatively applying computer vision and machine (deep) learning technologies to various applications and services, you will contribute to taking the user experiences on Samsung Mobile products to the next level. You will have opportunities to demonstrate your work through efficient SW and HW implementations on current and upcoming Samsung mobile platforms. The projects at MPI lab are part of Samsung Mobile’s global R&D effort and have direct impact on future Samsung Mobile products reaching millions of users worldwide. ==Responsibilities==: Identify areas of differentiation and innovation around mobile camera by leveraging new and existing vision and machine learning algorithms and vision-based user interfaces; Prototype algorithms and system applications in Python, Matlab, C/C++. ==Qualifications==: Hands-on experience in one or more of the following areas: object detection/recognition/tracking, 3D vision, deep learning/CNN, semantic segmentation, image processing, augmented reality, visual odometry, SLAM; Experience in hardware accelerators, embedded systems, and robotics systems is a plus. ==Interested candidates==: Please email your resume to j.ukestad@samsung.com, with subject line "[Intern] Mobile Computer Vision team".

Posted on: 2017-02-08 14:27:57 UTC

Computer Vision / Deep Learning Engineer at Orbital Insight

Orbital Insight|Mountain View, CA

At Orbital Insight, we are building a geo-analytics platform for ingesting, processing, classifying, and analyzing geospatial imagery at a massive scale. In short, we turn the pixels from satellites and drones into sophisticated insights for our rapidly growing customer base. Our team is looking for experts in deep learning and computer vision to help out with tasks such as object detection, semantic segmentation, fully convolutional networks, and recurrent/memory networks (RNN, LSTM, etc). These techniques allow us to tackle problems ranging from counting billions of cars around the world to understand shopping behavior and urban development, to monitoring global resources such as crude oil and forested regions. We are funded by Sequoia Capital, Google Ventures, Bloomberg Beta and other top notch VC firms, and are headquartered in Mountain View near restaurants, shopping, and public transportation (Caltrain, VTA, and buses).

Posted on: 2017-02-07 20:55:29 UTC

Computer Vision Engineer Positions

Naked Labs Inc.|US, The Bay Area or Austria

At Naked Labs, our mission is to inspire health through honest insights. We believe the only fitness metric worth tracking is progress because progress is what motivates people to achieve their goals. With Naked, the world’s first home body scanner, we’ve created a game changing new category for health and wellness. AND we know we’ve just scratched the surface of what can be enabled when you can quickly and easily capture 3D body models: fitness is only the beginning! We are looking for highly motivated and talented computer vision enthusiasts to join us advancing the cutting edge of 3D reconstruction and body modeling. More info at: https://jobs.lever.co/nakedlabs

Posted on: 2017-02-07 10:36:20 UTC

Samsung Summer Internship - Virtual Reality

Samsung Research America (SRA)|Mountain View

At Samsung Research America (SRA), we are developing the future of Virtual Reality and Computer Vision and have multiple internship positions to contribute to the exciting projects! Computer Vision Processing Intern We are looking for a candidate with deep understanding in vision processing and machine learning for biometric data processing to identify persons. The intern will have an opportunity to work with various technology and real commercial product such as Samsung Pay and VR. Master or PhD candidates in Computer Science or similar disciplines with research experience Strong hands-on experience in computer vision processing In-depth knowledge on machine learning, feature extraction Proficient in C/C++ or Java Experience with biometric/medical image data processing is a plus Experience in Android is a plus but not MUST Deep Learning Research Intern We are looking for talented intern members to help solving deep learning problems in computer vision. Master or PhD candidates in Computer Science or similar disciplines with research experience Solid understanding in machine learning algorithms, experience in training large dataset is a plus Knowledge computer vision Proficient in C/C++ or Java Strong analytical and problem-solving ability Computer Vision Engineering Intern For this position, we are expanding our lab to include computer vision in our VR and AR research projects. The primary mission will be to explore monocular and binocular SLAM technologies as it relates to head position tracking and we will expand from there. Other projects will include object recognition and tracking, hand and/or controller tracking and facial recognition. Bachelors, Masters or PhD candidates in Computer Science or similar disciplines We work primarily in C, C++ and Android We will also explore OpenCL, OpenCV and Unity Unity / VR Intern As an intern member, you will be responsible for researching, prototyping, and implementing a project in the Virtual Reality space during your internship. You will work with and get feedback from the product design team at Oculus during the project. Bachelors or Masters in Game development, 3D development or modeling or a related field Strong knowledge of systems level C++ programming, Unity expert A passion to learn more about VR in both the mobile and PC Strong visual and interaction skills a plus VR Development and Security Intern We are looking for a security minded developer to implement an Unreal plug-in for GearVR, implement a security model for GearVR applications, and do security assessments for VR infrastructure components. This is a challenging position which will give you an exposure to how VR works and also understand the relevant security issues pertaining to VR. Bachelors or Masters in Computer Science or similar disciplines a strong background in C/C++, mobile development, and server-side development If not all of the above, we will consider strong candidates who demonstrate the desire to quickly get up to speed on all of these technologies.

Posted on: 2017-02-07 01:04:49 UTC

Samsung Summer Internship - Computer Vision Team

Samsung Research America (SRA)|Mountain View

Computer Vision Team (CVT) at Samsung Research America is an interdisciplinary team geared towards creating innovative and cutting edge products at the intersection of computer vision, augmented reality, virtual reality, deep learning and machine learning. We are a small team of researchers, software engineers and UX designers that are passionate about inventing experience centric future products across variety of Samsung platforms (mobile, consumer electronics, wearables, etc.). The team is part of Computer Science and Innovation Center at Samsung Research America and is led by Pranav Mistry. We aim for real-world impact by turning our ideas into products and technologies. CVT works closely with Think Tank Team (http://thinktankteam.info/) We are looking for talented researchers and interns to join our ‘ninja’ team – people who have meaningful and working background in using their expertise to build software prototypes and experiences. We are specifically searching for researchers/engineers to work on the design of innovative solutions in the space of computer vision and augmented reality. Computer Vision Intern We are looking for a candidate with deep understanding in computer vision, machine learning and deep learning. As a computer vision researcher/engineer/intern you will spend time developing and prototyping novel algorithms for various computer vision, machine learning and augmented reality projects Master or PhD candidates in Computer Science or similar disciplines with research experience Strong hands-on experience in computer vision processing In-depth knowledge on machine learning, feature extraction Strong C/C++/Java coding experience. You should be able to write clean, elegant and maintainable high-performance code. Good understanding of software architecture Experience with various computer vision/machine learning libraries such as OpenCV, Caffe, TensorFlow, Theano etc Experience in Android is a plus but not MUST. Working across variety of platforms (Android, Tizen, Linux, Windows etc.) is a plus

Posted on: 2017-02-07 01:02:52 UTC

Samsung Summer Internship - Computer Vision/Deep Learning/AI Research

Samsung Research America (SRA)|Mountain View

The AI research team at Samsung Research America (SRA), located in Mountain View, CA, is looking for an outstanding PhD Research intern for the summer of 2017. We are looking for candidates with expertise in Computer Vision and Deep Learning, with research experience in the following areas; large-scale visual recognition and detection, object tracking, video understanding, deep learning, deep model compression, facial analysis (recognition, expression, attributes perception), and video summarization. The candidate will work with a team of Research Scientists and Engineers tackling real-world problems involving Samsung’s Artificial intelligence products. The candidate will have a chance to publish at top-tier conferences in Computer Vision and deep learning. As an intern, you will be involved in very promising team projects with talented people at Samsung. You will benefit a lot by working in a fun and creative environment. Requirements: - Currently enrolled in PhD program with focus on computer vision and deep learning or related fields. - Experience with various libraries and platforms in computer vision, deep learning, and machine learning. - Strong algorithmic problem solving skills, and the ability to implement solutions in C/C++, Python, Java, etc. - Experience in Android development and graphic rendering is a plus. - Experiences in publishing scientific papers in top quality conferences/journals are also necessary.

Posted on: 2017-02-07 00:47:03 UTC

Post-Doctoral Research Associate

Electrical and Computer Engineering, University of Florida|Gainesville, FL

The Machine Learning and Sensing Laboratory at the University of Florida has an opening for a post-doctoral research associate to develop computer vision and machine learning algorithms for a novel back-scatter x-ray system. The position will be a part of the University of Florida’s “Rays for Roots” project funded by ARPA-E ROOTS program. The researcher will develop novel super-resolution, image processing and root-vs-soil segmentation algorithms, automated feature extraction algorithms, and machine learning methods to map image features to measured values such as soil moisture, soil porosity, and other parameters of interest. The overall project, Rays for Roots – Integrating Backscatter X-Ray Phenotyping, Modeling, and Genetics to Increase Carbon Sequestration and Resource Use Efficiency, aims to develop a high-throughput system for plant root phenotyping using back-scatter x-ray technology in the field. The project team is highly interdisciplinary consisting of computer scientists, plant and soil scientists, nuclear engineers, electrical engineers, and plant modelers providing a unique post-doctoral research experience. Candidates must have a Ph.D. in computer science, computer engineering or a related area with expertise in image processing, image/data analysis and machine learning. To apply: Please send your CV, publication samples, and list of references to Dr. Alina Zare (azare@ece.ufl.edu); Lab website: https://faculty.eng.ufl.edu/alina-zare/; ROOTS project descriptions: http://bit.ly/2jtVxGL.

Posted on: 2017-02-03 16:20:09 UTC

Postdoctoral Fellowship in Image Analytics and Informatics

Arizona State University|Scottsdale, AZ

A postdoctoral fellowship is available in the Imaging Informatics Laboratory, Department of Biomedical Informatics, at Arizona State University (ASU). The salary is competitive, which is depending on levels of experience, qualification, and responsibility. We are embedded in the world renowned Mayo Clinic for extensive collaborations. Our research, supported by the NIH and ASU-Mayo partnerships, lies at intersections of computer science, informatics, radiology, cardiology, biology, pathology, gastroenterology and ontology. Drawing upon computer vision, computer graphics, machine learning, and mathematics, we are developing and validating novel computational methodologies for the extraction, analysis and quantification of structural, functional, cellular, and molecular information from images acquired through various imaging modalities, and for the integration of image-based information with non-image-based information with the objective of supporting clinical decision making (in diagnosis, therapy, surgery and drug development) and facilitating precision medicine. Our research is focused not only on the development of novel computer algorithms but also on their clinical impact. Candidates must have or soon expect to receive a doctorate in biomedical engineering, biomedical informatics, computer science, physics, mathematics or another relevant field. Advanced mathematical and programming skills are expected. Applicants with a record of peer-reviewed publications and experience in machine learning (deep learning, active learning and multiple-instance learning), large-scale optimization, super-resolution imaging, and high-performance computing are especially encouraged to apply. The postdoctoral fellow will work closely with imaging specialists and clinicians and have opportunities to work with graduate students and determine the research agenda of the lab. The researcher should have strong motivation for conducting high-quality research and publishing in top journals and conferences, strong interpersonal skills, be able to work independently on problems, be an effective team player, and be willing to accept challenges and leadership responsibilities. This postdoctoral fellow may also be hired through Mayo Clinic in Arizona subject to approval. The initial appointment is for one year and is renewable for up to three years subject to continued availability of funding. Interested candidates should send (preferably as PDFs via e-mail) (1) a copy of their curriculum vitae; (2) a statement of research interests; (3) selected best publications; and (4) the names of three references to: Jianming Liang, PhD Associate Professor Department of Biomedical Informatics, Arizona State University Johnson Research Building, Mayo Clinic Arizona 13212 East Shea Boulevard, Scottsdale, AZ 85259 Email: jianming.liang@asu.edu Arizona State University An Equal Opportunity/Affirmative Action Employer

Posted on: 2017-02-01 21:09:11 UTC

Research Software Engineer in Image Analytics and Informatics

Arizona State University|Scottsdale, AZ

A Research Software Engineer position is available in the Imaging Informatics Laboratory, Department of Biomedical Informatics, at Arizona State University (ASU). The salary is competitive, which is depending on levels of education, experience, qualification, and responsibility. We are embedded in the world-renowned Mayo Clinic for extensive collaborations. Our research, supported by the NIH and ASU-Mayo partnerships, lies at intersections of computer science, informatics, radiology, cardiology, biology, pathology, gastroenterology and ontology. Drawing upon computer vision, computer graphics, machine learning, and mathematics, we are developing and validating novel computational methodologies for the extraction, analysis and quantification of structural, functional, cellular, and molecular information from images acquired through various imaging modalities, and for the integration of image-based information with non-image-based information with the objective of supporting clinical decision making (in diagnosis, therapy and surgery and drug development) and facilitating precision medicine. Our research is focused not only on the development of novel computer algorithms but also on the development of systems to realize the clinical impact. Candidates must have a degree in biomedical informatics, computer science, or another relevant field, exceptional skills in MATLAB, C++, Java, Python, Perl, and/or JavaScript programming, familiarity with high-quality software practices (fast-prototyping, test-driven development, design patterns, etc.), and demonstrated software development expertise (e.g., active github account, successful project, and documented open-source contribution). Good understanding of algorithms in image analysis, computer vision, computer graphics, and machine learning is preferred. The Research Software Engineer will work closely with postdoctoral fellows, graduate students, imaging specialists and clinicians to develop next-generation, high-performance systems in image analytics and informatics. The engineer should have strong motivation to work amicably with researchers for conducting high-quality research and publishing in top journals and conferences, strong interpersonal skills, and be willing to accept challenges and leadership responsibilities. This software engineer may also be hired through Mayo Clinic in Arizona subject to approval. The initial appointment is for one year and is renewable on a yearly basis subject to continued availability of funding. Interested candidates should send (preferably as PDFs via e-mail) (1) a copy of their curriculum vitae; (2) a personal statement; (3) selected best available publications; and (4) the names of three references to: Jianming Liang, PhD Associate Professor Department of Biomedical Informatics, Arizona State University Johnson Research Building, Mayo Clinic Arizona 13212 East Shea Boulevard, Scottsdale, AZ 85259 Email: jianming.liang@asu.edu Arizona State University An Equal Opportunity/Affirmative Action Employer

Posted on: 2017-02-01 21:07:56 UTC

PhD Fellowship in Image Analytics and Informatics

Arizona State University|Scottsdale, AZ

A PhD fellowship is available in the Imaging Informatics Laboratory, Department of Biomedical Informatics, at Arizona State University (ASU). The salary is competitive, which is depending on levels of education, experience, and qualification. We are embedded in the world renowned Mayo Clinic for extensive collaborations. Our research, supported by the NIH and ASU-Mayo partnerships, lies at intersections of computer science, informatics, radiology, cardiology, biology, pathology, gastroenterology and ontology. Drawing upon computer vision, computer graphics, machine learning, and mathematics, we are developing and validating novel computational methodologies for the extraction, analysis and quantification of structural, functional, cellular, and molecular information from images acquired through various imaging modalities, and for the integration of image-based information with non-image-based information with the objective of supporting clinical decision making (in diagnosis, therapy, surgery and drug development) and facilitating precision medicine. Our research is focused not only on the development of novel computer algorithms but also on their clinical impact. Candidates must have or soon expect to receive a degree in biomedical engineering, biomedical informatics, computer science, physics, mathematics or another relevant field, must apply or transfer to and be accepted in a graduate program through the normal ASU application process. Strong mathematical and programming skills are expected. Applicants skilled in image analysis, computer vision, computer graphics, and machine learning are especially encouraged to apply. The PhD fellow will work closely with imaging specialists and clinicians, and have opportunities to define the research agenda of the research lab. The student should have strong motivation for conducting high-quality research and publishing in top journals and conferences, strong interpersonal skills, be able to work independently on problems, be an effective team player, and be willing to accept challenges and leadership responsibilities. The initial support is for one year and it is renewable as a research assistantship for up to four years subject to continued availability of funding. Interested candidates should send (preferably as PDFs via e-mail) (1) a copy of their curriculum vitae; (2) a statement of research interests; (3) selected best available publications; and (4) the names of three references to: Jianming Liang, PhD Associate Professor Department of Biomedical Informatics, Arizona State University Johnson Research Building, Mayo Clinic Arizona 13212 East Shea Boulevard, Scottsdale, AZ 85259 Email: jianming.liang@asu.edu Arizona State University An Equal Opportunity/Affirmative Action Employer

Posted on: 2017-02-01 21:04:13 UTC

Visiting Scholarship/Studentship in Image Analytics and Informatics

Arizona State University|Scottsdale, AZ

A visiting scholarship/studentship is available in the Imaging Informatics Laboratory, Department of Biomedical Informatics, at Arizona State University (ASU). The salary is competitive, which is depending on levels of education, experience, qualification, and responsibility. We are embedded in the world renowned Mayo Clinic for extensive collaborations. Our research, supported by the NIH and ASU-Mayo partnerships, lies at intersections of computer science, informatics, radiology, cardiology, biology, pathology, gastroenterology and ontology. Drawing upon computer vision, computer graphics, machine learning, and mathematics, we are developing and validating novel computational methodologies for the extraction, analysis and quantification of structural, functional, cellular, and molecular information from images acquired through various imaging modalities, and for the integration of image-based information with non-image-based information with the objective of supporting clinical decision making (in diagnosis, therapy, surgery and drug development) and facilitating precision medicine. Our research is focused not only on the development of novel computer algorithms but also on their clinical impact. Candidates must have or soon expect to receive a degree in biomedical engineering, biomedical informatics, computer science, physics, mathematics or another relevant field. Strong mathematical and programming skills are expected. Applicants skilled in image analysis, computer vision, computer graphics, and machine learning are especially encouraged to apply. The visiting scholar/student will work closely with imaging specialists and clinicians. The scholar/student should have strong motivation for conducting high-quality research and publishing in top journals and conferences, strong interpersonal skills, be able to work independently on problems, be an effective team player, and be willing to accept challenges and leadership responsibilities. This scholar/student may also be hired through Mayo Clinic in Arizona subject to approval. The initial support is for one year and is renewable for up to two years subject to continued availability of funding. Interested candidates should send (preferably as PDFs via e-mail) (1) a copy of their curriculum vitae; (2) a statement of research interests; (3) selected best available publications; and (4) the names of three references to: Jianming Liang, PhD Associate Professor Department of Biomedical Informatics, Arizona State University Johnson Research Building, Mayo Clinic Arizona 13212 East Shea Boulevard, Scottsdale, AZ 85259 Email: jianming.liang@asu.edu Arizona State University An Equal Opportunity/Affirmative Action Employer

Posted on: 2017-02-01 21:02:44 UTC

Summer Internship positions in Deep Learning/Computer Vision/NLP

Midea Emerging Technology Center|San Jose, CA

Midea Emerging Technology Center (ETC), located in San Jose, CA. Midea Group is a Fortune 500 company and #1 home appliance in China, #2 in the world. In addition to the well-known specialty in home and commercial grade heating, ventilation and air conditioning (HVAC) products (Powering many of the 2016 Rio Olympic stadiums), Midea also produces wide ranges of home appliance, such as lighting, water appliances, home robots, small kitchen appliances, laundry, large cooking appliances, and refrigeration. Midea acquired the German Robot company Kuka (Used by many Industrial Giants like Tesla) in December, 2016 (http://www.reuters.com/article/us-kuka-m-a-mideamidea-group-idUSKBN14J0SP), and enters the Intelligent Manufacturing business. ETC is dedicated to leveraging advanced techniques to improving lives and have many of exciting projects in the field of AI, BI, Robotics, SoC, sensors. Join us for a 3-month internship to work with a group of friendly researchers in the areas deep learning, computer vision, AI power analytics, and NLP. ETC has a variety of intern positions in the following areas: • Deep learning • Computer vision • Speech recognition and NLP Requirements: • Ph. D student in CS, EE or related areas; • Strong research background and hands-on experience in deep learning and its applications to computer vision, NLP; • Experience with various libraries and platform in computer vision, NLP, deep learning, and machine learning; • Strong algorithmic problems solving skills; • Strong programming skills in C++, along with Python or Matlab. CUDA or GPGPU programming is a bonus; If you are interested in. Please email your CV to chen1.xin@midea.com

Posted on: 2017-01-31 05:48:03 UTC

Assistant Professor in Computational Sensing

Arizona State University|Tempe, Arizona

The School of Arts, Media, Engineering and the School of Electrical, Computer, and Energy Engineering at Arizona State University are seeking outstanding candidates for a joint tenure-track position beginning in Fall 2017 in the broad area of Computational Sensing. Ideal candidates will have demonstrated experience in co-design of hardware (optics/materials/sensors etc.) and algorithms (signal processing/optimization/machine learning etc.) for impactful use-inspired applications. Specific application areas may include but not limited to computational imaging, active materials, sensory-motor systems etc. The tenure home is expected to be in the School of Arts, Media, Engineering. But based on specific candidate profiles, we expect the faculty will be jointly appointed in Electrical, Computer and Energy Engineering (ECEE), or one of the other Schools of Engineering such as Computer Science (CIDSE), Materials Science (SEMTE), Biomedical Engineering (SBHSE) etc. We are particularly interested in candidates interested in fostering inter-disciplinary scholarly collaboration: including but not limited to engineering, science, arts, and/or humanities. Send a letter of interest, CV, statement of research, statement of teaching vision (consistent with the transdisciplinary nature at AME), three to five representative publications and/or media products, and names, addresses and telephone numbers for three to five professional references, via one zipped attachment, to: CompSensing-search@asu.edu. Zipped files sent to this email address are limited to 10MB. For larger files, candidates may alternatively provide a URL to which the search committee may access the candidate’s materials. Please note that if a URL is provided, the site must include only the above requested documents in order for the application packet to meet the requirements. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer.

Posted on: 2017-01-30 23:30:12 UTC

Assistant Professor in Expressive Robotics

Arizona State University|Tempe, Arizona

The School of Arts, Media, Engineering (ame.asu.edu) and the School for Engineering of Matter, Transport and Energy at Arizona State University are seeking outstanding candidates for a joint tenure-track position beginning in Fall 2017 in the area of Expressive Robotics. Ideal candidates will have demonstrated experience in development of platforms, architectures, and algorithms, for humanoid or non-humanoid robotics. Specific areas of interest for this position include the design of robotic systems that are capable of non-trivial expressive interaction, including elements of improvisation and creativity, as well as ensembles of animated physical objects. The tenure home is expected to be in the School of Arts, Media, Engineering. But based on specific candidate profiles, we expect the candidate will be jointly appointed in one of the programs in the Fulton Schools of Engineering, such as Mechanical Engineering (SEMTE), Biomedical Engineering (SBHSE), Computer Science (CIDSE), or Electrical Engineering (ECEE). We are particularly interested in candidates interested in fostering inter-disciplinary scholarly collaboration: including but not limited to engineering, science, health, arts, and/or humanities. Send a letter of interest, CV, statement of research, statement of teaching vision (consistent with the transdisciplinary nature at AME), three to five representative publications and/or media products, and names, addresses and telephone numbers for three to five professional references, via one zipped attachment, to: ExpressiveRobotics_search@asu.edu. Zipped files sent to this email address are limited to 10MB. For larger files, candidates may alternatively provide a URL to which the search committee may access the candidate’s materials. Please note that if a URL is provided, the site must include only the above requested documents in order for the application packet to meet the requirements.

Posted on: 2017-01-30 23:27:24 UTC

Senior scientist in computer vision

OSRAM|Munich, Germany

We are seeking a passionate full-time senior scientist in computer vision. Core responsibilities imply research and development in scene understanding and multi-class detection and recognition, with specific focus on outdoor scenes. Previous research expertise in action recognition, pose estimation and tracking are welcome, as well as personal initiative in defining new pathways in smart lighting. We request a strong awareness of state-of-the-art techniques and an international publication record in computer vision or related fields. Ability to program in C/C++ is essential. Other programming languages, communication skills and team play are desirable. We provide equal opportunities to all applicants and favor diversity. Please contact Dr. Fabio Galasso (f.*surname*@osram.com). Send to him CV, cover letter, publication list and contact details of 3 referees.

Posted on: 2017-01-28 09:12:45 UTC

Assistant/Associate Research Professorship in Image Analytics and Informatics

Arizona State University |Scottsdale, AZ

An Assistant/Associate Research Professorship is available in the Imaging Informatics Laboratory, Department of Biomedical Informatics, at Arizona State University (ASU). The salary is competitive, which is depending on levels of experience, qualification, and responsibility. We are embedded in the world renowned Mayo Clinic for extensive collaborations. Our research, supported by the NIH and ASU-Mayo partnerships, lies at intersections of computer science, informatics, radiology, cardiology, biology, pathology, gastroenterology and ontology. Drawing upon computer vision, computer graphics, machine learning, and mathematics, we are developing and validating novel computational methodologies for the extraction, analysis and quantification of structural, functional, cellular, and molecular information from images acquired through various imaging modalities, and for the integration of image-based information with non-image-based information with the objective of supporting clinical decision making (in diagnosis, therapy, surgery and drug development) and facilitating precision medicine. Our research is focused not only on the development of novel computer algorithms but also on their clinical impact. Candidates must have a doctorate in biomedical engineering, biomedical informatics, computer science, physics, mathematics or another relevant field. Applicants with a strong record of peer-reviewed publications and experience in machine learning (deep learning, active learning and multiple-instance learning), large-scale optimization, super-resolution imaging, and high-performance computing are especially encouraged to apply. The research professor will work closely with imaging specialists and clinicians at Mayo Clinic, have opportunities to supervise graduate students and determine the research agenda of the research lab. The researcher should have strong motivation for conducting high-quality research and publishing in top journals and conferences, strong interpersonal skills, be able to work independently on problems, be an effective team player, and be willing to accept challenges and leadership responsibilities. The initial appointment is for one year and is renewable for up to five years subject to continued availability of funding. Interested candidates should send (preferably as PDFs via e-mail) (1) a copy of their curriculum vitae; (2) a statement of research interests; (3) selected best publications; and (4) the names of four references to: Jianming Liang, PhD Associate Professor Department of Biomedical Informatics, Arizona State University Johnson Research Building, Mayo Clinic Arizona 13212 East Shea Boulevard, Scottsdale, AZ 85259 Email: jianming.liang@asu.edu Arizona State University An Equal Opportunity/Affirmative Action Employer

Posted on: 2017-01-25 23:36:16 UTC

Vision, vision+control and visualisation in Robotics

Dyson Technology Ltd.|Malmesbury, UK

Dyson Technology Ltd. has 5 new Robotics Research Engineer roles available (details in individual links below). We are looking for practical people that can work well in a dynamic fast-paced R&D environment where their efforts could have a direct impact in mass produced real-world robotic products. Senior Robotics Engineer - Robot Vision https://jobs.dyson.com/jobs/JobDetail/Senior-Robotics-Engineer-Robot-Vision/3577 Senior Robotics Engineer - Visualisation & Simulation https://jobs.dyson.com/jobs/JobDetail/Senior-Robotics-Engineer-Visualisation-Simulation/3576 Senior Robotics Engineer https://jobs.dyson.com/jobs/JobDetail/Senior-Robotics-Engineer/3578 Robotics Engineer - Advanced https://jobs.dyson.com/jobs/JobDetail/Robotics-Engineer-Advanced/3579 Senior Robotics Engineer - Computer Vision and Control https://jobs.dyson.com/jobs/JobDetail/Senior-Robotics-Engineer-Computer-Vision-and-Control/3580 The roles will be part of a research team looking at machine perception and manipulation technologies for future projects working alongside product concept and development teams, situated in the UK between Bristol and Oxford. Please send you CV to: Sarah.Keeling@dyson.com or apply via the web links.

Posted on: 2017-01-23 09:03:53 UTC

3D Computer Vision Researcher

Baidu|Beijing China

There are a number of immediate openings for a new 3D vision group within the Institute of Deep Learning, Baidu, Beijing China (https://www.baidu.com/). We are hiring at all levels, from internship to senior full time positions. Candidates should have a solid background in 3D computer vision with a demonstrated capability to publish in top CV venues (such as CVPR/ICCV). Experiences with point cloud processing, segmentation, scene understanding are strong pluses. While the company is head-quartered in Beijing China, we have an international workforce. Chinese speaking is preferred, but not mandatory. Interested applicants are encouraged to email yangruigang [at] baidu.com with a current CV.

Posted on: 2017-01-23 05:25:50 UTC

3D Computer Vision Researcher

Baidu|Beijing China

Posted on: 2017-01-23 05:17:01 UTC

Postdoctoral positions at Kyoto U: Reconstruction/simulation of neural circuits in the brain

Kyoto University, Integrated Systems Biology Lab|Kyoto, Japan

We invite applications for a post-doc researcher in the area of analyses of fluorescent microscopy images, computational neuroscience, and/or neurophysiology. A new collaborative project with U Tokyo has been launched for large-scale 3D imaging of brains' network of neurons and its reconstruction/simulation. The applicant will analyze microscopic 3D images to extract biological neuronal networks in collaboration with Kasai-lab in U Tokyo (http://www.bm2.m.u-tokyo.ac.jp/english/index.html). The project is a part of "Synaptic optogenetics for memory structures", which is funded by Japan Science and Technology Agency. For this position, basic qualifications include Ph.D. in relevant fields with proven track record of peer-reviewed publications, as well as excellent verbal and written communication skills in English and/or Japanese. You will participate in the project with our tenure track and post-doc researchers from various backgrounds including systems biology, bioinformatics, computational biology, mathematical engineering, and machine learning. Our laboratory is also collaborating on a daily basis with Advanced Telecommunications Research Institute International (ATR), University of Tokyo, Okinawa institute of science and technology (OIST), RIKEN Brain Science Institute, and other laboratories across the country. [Job title and Job description] Title: Full-time Researcher / Full-time Research Engineer Begin Date: April 1st, 2017 or later (negotiable) Location: Yoshida-Honmachi 36-1, Sakyo-Ku, Kyoto-city, Japan. 606-8501 Contract: Annually renewed based on the evaluation. Up to 5 years Salary: Commensurate with qualifications and experience. Based on Kyoto University’s provision for researchers. Benefits:　Standard social insurance, Days off (weekends, public holidays, End of the year and the New Year, Kyoto University Foundation Day, summer vacation), Sick leave Other miscellaneous provisions are in accordance with Kyoto U regulations. [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV (including technical skills [programming languages, platforms, systems, etc]) 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. [Number of openings] One [Deadline for application] February 28th, 2017 (will remain open if positions are not filled) [Application] Applications and/or any questions should be sent via mail or e-mail to: Integrated Systems Biology Laboratory (Shin Ishii-lab), Graduate School of Informatics, Engineering Bldg #1, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: kanae [at] sys.i.kyoto-u.ac.jp http://ishiilab.jp/kyoto/en/ Phone: +81-75-753-4908 Fax: +81-75-753-4907

Posted on: 2017-01-19 07:45:23 UTC

Sr. Applied Research Engineer

Sony Electronics - US Research Center|San Jose, CA.

29834 – Sr. Applied Research Engineer Sony's U.S. Research Center currently has an opening for Senior Applied Research Engineer in our San Jose, California location. This position is responsible for researching and developing algorithms and architectures for integration into advanced multi-media platforms and products. Responsibilities will include investigating and utilizing complex engineering and mathematical principles to develop core technologies, composing algorithm structures and finding solutions to problems. This will include the assessment and improvement of algorithm performance on a variety of platforms. This position also requires the engineer to analyze and determine system standards and test procedures. You will work on problems of diverse scope where analysis of data requires evaluation of identifiable factors and demonstrate good judgment in selecting methods and techniques for obtaining solutions. You will be responsible for networking with senior internal and external personnel in your own area of expertise. • Ph.D. Degree in Electrical Engineering and/or Computer Engineering or Computer Science is required • Strong knowledge of machine learning and fundamentals in computer vision theories is required • Experience in research of deep learning, esp. convolutional neural network or recurrent neural network, is a strong plus • Experience in research of reinforcement learning is a strong plus • Excellent programming skills in C/C++ and Matlab or Python are required • Must be self-motivated and creative, with proven analytical skills, excellent research record, and ability to communicate effectively Sony Electronics is an Equal Opportunity Employer that values employees with a broad cross-cultural perspective. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, citizenship status, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law. We sincerely appreciate and thank you for your interest in Sony Electronics Inc. For a complete list of Sony Electronics Inc. Job Opportunities visit: www.sonyjobs.com To view Sony Electronics Privacy Policy visit: https://products.sel.sony.com/SEL/legal/privacy.html Job Engineering

Posted on: 2017-01-18 19:58:23 UTC

Deep Learning Intern (Computer Vision/Deep Learning)

SAIC USA Innovation Center|San Jose, CA

SAIC Motor is a Fortune 100 company and the largest car manufacturer in China, selling about 6 million cars per year. Located in San Jose, CA, SAIC Innovation Center is its fully owned subsidiary that engages in research and development for cutting edge technologies on Autonomous Driving and Human Computer Interfaces for the next generation vehicles. Currently, SAIC Innovation Center has multiple long-term or short-term intern openings in the areas of deep learning, deep reinforcement learning, computer vision, Lidar perception and path planning. • Job Description: • Develop novel deep learning algorithms for object detection, tracking, segmentation and scene understanding • Work with researchers and engineers to build a complete autonomous driving system • Qualifications: • Graduate student in computer science, electrical engineering, robotics, or a related field • Hands-on experience on designing and training neural networks such as CNN and RNN using TensorFlow or Caffe • Proficient in C++ / Python Qualified candidates are encouraged to apply via email to jyu AT saicusa DOT com

Posted on: 2017-01-18 05:16:42 UTC

Deep Learning Research Engineer (Computer Vision/Deep Learning)

SAIC Innovation Center|San Jose, CA

SAIC Motor is a Fortune 100 company and the largest car manufacturer in China, selling about 6 million cars per year. SAIC Innovation Center is its fully owned subsidiary that engages in research and development for cutting edge technologies on Autonomous Driving and Human Computer Interfaces for the next generation vehicles. Currently, SAIC Innovation Center has multiple openings in the areas of deep learning, deep reinforcement learning, computer vision and Lidar perception and path planning. Job Description: • Develop novel deep learning algorithms for object detection, tracking and scene understanding • Collaborate with team members to build a complete autonomous driving system • Understand the latest technologies and propose innovative research ideas • Innovate and work on algorithms in artificial intelligence and/or autonomous driving Qualifications: • MS/PhD in computer science, electrical engineering, robotics, or a related field, or equivalent practical experience • 5+ years of R&D experience on deep learning and computer vision • In-depth understanding of the state-of-the-art CNN/RNN technologies • Expert knowledge with TensorFlow, Caffe, Theano and/or Torch • Proficient in C++ / Python / Matlab Preferred qualifications: • Experience with integrating camera, lidar and radar sensors • Experience with autonomous driving • Expert knowledge of PCL/VTK/OpenCV libary Candidates with Ph.D. degree or Master degree with working experience in related areas are encouraged to apply via email to jyu AT saicusa DOT com or saicusa.workable.com.

Posted on: 2017-01-18 04:56:57 UTC

Lead Researcher

Center for Intelligent Machines|Montreal, Canada

Tracking and Activity Recognition in Hockey Videos A post-doctoral fellowship is available at McGill University in Montreal, Canada, under the supervision of Professor Martin Levine, in the Department of Electrical and Computer Engineering and the McGill University Research Centre for Intelligent Machines and Dr. Mehrsan Javan, Adjunct Professor in the Department of Electrical and Computer Engineering and the McGill University Research Centre for Intelligent Machines and Chief Technical Officers of SportLogiQ Technology, also in Montreal, Canada. The position will be funded under the MITACS Elevate PDF program, and will involve collaborative research with the industrial partner, SPORTLOGiQ. Information about SPORTLOGiQ can be found http://sportlogiq.com/ SPORTLOGiQ has developed state-of-the-art methods for tracking and activity recognition in videos. Following this line of research, the holder of the PDF will work on the application of Computer Vision to off-line and on-line sport video analytics and will spend at least 50% of their time working at the SPORTLOGiQ office in Montreal, not far from McGill. The fellowship provides a stipend of $55,000 CDN for one year, with a possibility of renewal for a second year. The target date for starting the PDF is June 1, 2017 or as agreed upon by the two parties. Potential applicants must satisfy the following conditions: - Must have fulfilled all degree requirements for their PhD at time of project start date. - Their PhD thesis work should be in the area of computer vision. - Their date of graduation from a PhD program must be no more than 5 years prior to the proposed start date the research project. -Must not have been employed for more than six months in an R&D position outside the university after receipt of their doctoral degree. - Must not have received an offer of employment from the partner organization except an offer of this fellowship or short-term employment of up to six months while awaiting a decision on the fellowship. - Fellows who have held a MITACS Accelerate award as a Masters or PhD student are eligible. Interested candidates should send a C.V. and statement of research experience and interests to: Professor Martin Levine - levine@cim.mcgill.ca.

Posted on: 2017-01-16 21:43:18 UTC

Post-Doctoral Fellow

McGill Unversity|Montreal, Canada

Posted on: 2017-01-14 22:35:53 UTC

Senior Computer Vision Researcher

Neya Systems, LLC|Pittsburgh, PA

Why Neya? Come work for one of the most innovative robotics companies in the world! Don’t believe us? Check out Fast Company who named us one of the top-10 worldwide innovative companies in robotics Neya Systems is a 7-year old robotics and unmanned systems company in Wexford, PA, just north of Pittsburgh. We focus on development of outdoor robotics capabilities. We work on the last 10% of the problem, which means making sure our technology works in all kinds of real world outdoor conditions. We are looking for Senior computer vision researchers who are interested in working in robotics and unmanned systems. This position requires a Ph.D. or an MS in an unmanned systems related field. MS candidates must have at least 5 years of experience. We work with a variety of DoD and commercial customers, solving difficult problems in outdoor navigation, inspection, path planning, and off-road autonomy. We have a great team of existing senior computer vision and machine learning folks, who have decades of experience in solving real-world unmanned systems problems, and we're looking to grow the team. Here's the experience we hope you have: Strong C/C++ software development skills, with experience with the latest toolchains and IDEs, in a Linux environment. Strong, demonstrated experience with multi-threaded and concurrent programming is a requirement. Demonstrated familiarity with statistical machine learning algorithms Demonstrated familiarity with image processing for terrain classification, stereo processing, object recognition Experience working with small and large unmanned ground vehicle platforms is a plus Experience working with path planning algorithms (e.g. receding horizon motion planning) is a plus Here’s a few things that make us unique: We are fully bootstrapped. No VC funding at all. That means we work on what we decide makes sense for the company, and our employee’s personal growth. We focus intensely on customer service. We’re not just a bunch of academics who decided to start a company. We’ve been successful in balancing interesting R&D with core business needs. We have fun. We try hard to maintain a culture of transparency and mutual respect. We’re located just near Pittsburgh, PA. You may be thinking, “but I love the Bay Area!”. Here’s a few things to consider: Cost of living. You can actually afford a house here. Snow. We have lots of it, and great skiing. Pace of life. We’re a great mix of east coast and mid-west. Hard working, but great family values. Steelers! Penguins! And.. Pirates. We offer generous benefit plans, including: Health insurance, with no required employee contribution 401k, with a generous company contribution Vacation and Holidays The ability to share directly in success you generate through a profit sharing program Please email a resume / CV if you are interested.

Posted on: 2017-01-12 20:12:10 UTC

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging)

12 Sigma Technologies|San Diego, CA

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging) Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies （图玛深维）is a well-funded start-up company focused in applying artificial intelligent and deep learning into modern medical image diagnosis and medical data analysis. We also have R&D teams in Beijing and Suzhou, China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits and visa sponsorship. http://www.12sigma.cn/en/ http://www.12sigma.cn/ Job Location: San Diego Job Titles: • Research Scientist with all levels of experience Job Responsibilities: • Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. • Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. Job Qualifications • PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience • Strong expertise in computer vision and machine learning, with solid understanding of neural networks and the underlying math • Publications at top conferences and journals, or successful industry experience • Extensive experience in designing deep convolutional neural networks using Caffe or similar platforms (TensorFlow, Theano, MxNet, etc.) • Proficient programing skills in C/C++ and Matlab, experience with ITK preferred • Excellent communication and presentation skills • Ability to work efficiently both as an individual and as a team member in a fast-pace working environment • Ability to quickly learn new skills and knowledge Send application to career@12sigmamedicalimaging.com

Posted on: 2017-01-12 18:25:40 UTC

Summer Intern positions in Deep Learning / Computer Vision / Medical Imaging

12 Sigma Technologies|San Diego, CA

Summer Intern positions in Deep Learning / Computer Vision / Medical Imaging Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies （图玛深维）is a well-funded start-up company focused in applying artificial intelligent and deep learning into modern medical image diagnosis and medical data analysis. We also have R&D teams in Beijing and Suzhou, China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. http://www.12sigma.cn/en/ http://www.12sigma.cn/ Job Location: San Diego Job Titles: • R&D Intern (summer 2017) Job Responsibilities: • Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. Job Qualifications • Graduate Student in CS/ECE/Statistics or related major • Experience in computer vision and machine learning, especially in deep learning • Hands-on experience in training deep learning models using Caffe or similar libraries • Ability to quickly learn new skills and knowledge Send application to career@12sigmamedicalimaging.com

Posted on: 2017-01-12 18:24:22 UTC

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging)

12 SIGMA Technologies |San Diego, CA

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging) Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies （图玛深维）is a well-funded start-up company focused in applying artificial intelligent and deep learning into modern medical image diagnosis and medical data analysis. We also have R&D teams in Beijing and Suzhou, China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in applied medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits and visa sponsorship. http://www.12sigma.cn/en/ http://www.12sigma.cn/ Job Location: San Diego Job Titles: • Research Scientist with all levels of experience Job Responsibilities: • Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. • Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. Job Qualifications • PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience • Strong expertise in computer vision and machine learning, with solid understanding of neural networks and the underlying math • Publications at top conferences and journals, or successful industry experience • Extensive experience in designing deep convolutional neural networks using Caffe or similar platforms (TensorFlow, Theano, MxNet, etc.) • Proficient programing skills in C/C++ and Matlab, experience with ITK preferred • Excellent communication and presentation skills • Ability to work efficiently both as an individual and as a team member in a fast-pace working environment • Ability to quickly learn new skills and knowledge

Posted on: 2017-01-12 18:20:38 UTC

3D Pose Estimation

OnSiteIQ|New York City

OnSiteIQ is a construction documentation, safety inspection, and progress monitoring startup based in New York City. We are actively seeking full-time software engineers with expertise in 3D pose estimation and modeling. For further information please submit your resume to contact@onsiteiq.io.

Posted on: 2017-01-12 12:00:42 UTC

Computer Vision Engineer

OnSiteIQ|New York City

OnSiteIQ is a construction documentation, safety inspection, and progress monitoring startup based in New York City. Our unique technology leverages computer vision algorithms to improve the efficiency of construction inspection and documentation. We are actively seeking full-time software engineers with expertise in computer vision and machine learning. Interested? Please submit your resume!!!

Posted on: 2017-01-12 11:55:34 UTC

Fully-funded Postdoc Position on Perception for Highly Automated Driving

Eindhoven University of Technology|Eindhoven, the Netherlands

Project information: The research topic is on Vision-based Simultaneous Localization and Mapping (SLAM) in combination with Deep Learning for Scene Parsing both in the context of Highly Automated Driving. Specifically, we aim for scalable and fully-automated map creation and updating technologies as well as vision-based localization. Also at focus are visual odometry and vision-based detectors and classifiers. Besides fundamental research, strong emphasis will be on getting the technologies working robustly in real-world environments and conditions. • 1 or 2 years fully-funded (depending on performance) • Topics: Deep Learning, Scene Parsing, Visual SLAM, Vision-based Localization • Starting early 2017. • Key project partners: TomTom, Mapscape, NXP, TASS international. Organization information: TU/e is one of Europe's leading research universities. The Eindhoven area, in the southern part of the Netherlands, is one of Europe's top 'innovation ecosystems', with many high-tech companies and institutes. TU/e is intertwined with many of these companies, like TomTom, NXP, ASML, Philips, DAF trucks, and many others. Research at TU/e is characterized by a combination of academic excellence, industrial relevance and societal impact. The postdoc position is funded by the Netherlands’ STW-Perspective program and is in cooperation with many partners from academia and from industry. Below you find more information on the project and on how to apply. Requirements: Below is a list of minimal requirements. Working experience like student jobs, internships, and industry jobs in the field Automotive or Robotics, is an advantage. • A MSc. degree in computer science or a related field (preferably from an EU/US/AU university). • A PhD. degree in computer science or a related field (preferably from an EU/US/AU university). If you are waiting on the formal defense of your PhD. then that is also acceptable • Strong research background in computer vision (preferably visual-SLAM and/or Deep Learning). • Published at IEEE level in relevant conferences/journals. • Good English speaking and writing skills. • Good programming skills in either Matlab or c/c++ (preferably both). • Experience with Linux, OpenCV and other open source tooling. • Good team working skills and pro-active working attitude. How to apply: In order to apply, send an email to g.dubbelman@tue.nl containing: • A motivation letter in pdf. • A detailed CV in pdf, including publications and grades. • Your MSc. thesis. • Your (draft) PhD. thesis. • At least two Letters of Recommendation From all applicants, we will select a few candidates that will be invited for a job interview in Eindhoven (or Skype).

Posted on: 2017-01-11 11:03:39 UTC

Computer Vision Researcher/Engineer

Uru|New York, NY

Company Description Uru (http://www.uruvideo.com) uses computer vision and machine learning technology to create a new and unobtrusive ad unit inside videos. Delivering these ad units at scale is an enormous technical challenge. But the opportunity to create a new pillar of video monetization, at a time when both publishers and social platforms like Facebook are going “video first,” is also colossal. Uru is an engineering-first company founded by two recent Cornell Computer Science graduate students. Computer vision and video are inherently fun to work with, but we have made working with them even more rewarding by fostering a company culture that prizes innovation, openness, and autonomy. At Uru, you will be joining an all-star team. Our current investors include Cornell University and the former CTO of a tech giant. Our advisors include one of the fastest rising professors in the Computer Vision and Machine Learning fields. Responsibilities: *Have a vast knowledge of different ways to solve CV problems and figure out ways to apply that to real situations. *Perform experiments in order to improve current models. *Be able to write production code and work with backend engineers in order to migrate experiments to real modules in the current architecture *Be capable of wearing different hats and flexible to tackle different problems that not always are your top expertise. Your Profile: * PHD in Computer Science OR industry software engineering experience (3 years or more) * Strong programming background in Python and/or C++ * Experience with CNN frameworks such as Caffe and Tensorflow. * Experience with CV open source frameworks, such as OpenCV. * Experience in Image Processing. * Be a team player and be able to translate your research to a generalized solution that can be deployed in production. * (Optional) Experience with video processing * (Optional) Research in the Computer Vision, Machine Learning and Image Processing fields (Published papers, open source tools, etc…) What to expect: We are an early stage, VC-backed Computer Vision startup based in NYC. With a very dynamic and fun environment, we are looking for top notch software engineers, with very strong technical background in both Machine Learning and/or Video. Your day to day will be packed with cool challenges to solve and you will be in a tight loop working with both the founders and customers in order to create an awesome product and get it out there in the market.

Posted on: 2017-01-09 22:45:26 UTC

Summer Research Assistant

NEC Laboratories America, Inc.|Cupertino, CA

The Media Analytics Department of NEC Labs America in Cupertino (CA) is offering internships in computer vision and machine learning for summer 2017. The Media Analytics group provides a vibrant research environment that produces strong research results. In recent years, we have won the Best Paper Award at CVPR, while our monocular SFM, object detection and tracking approaches are among the top performers on public benchmarks. Our research focuses on two major directions - image recognition and 3D scene understanding - with applications such as surveillance and autonomous driving that use and push the state-of-the-art in deep learning. If you are interested in object recognition, detection, semantic segmentation, 3D reconstruction or behavior prediction, then an internship at NEC Labs is an ideal avenue to do high-impact research. Located in the heart of Silicon Valley, our internship programs offer a dynamic environment and competitive stipends. If you are as excited as we are about the rapid advance of computer vision technologies, join us for an exciting summer 2017! Requirements: 1. PhD student in Computer Science (or equivalent) 2. Strong research background in computer vision or machine learning 3. Highly motivated towards solving fundamental but practical problems in computer vision 4. Strong programming skills in C++, along with Python or Matlab

Posted on: 2017-01-03 22:24:15 UTC

Research Scientist

Yahoo Research|New York City

Yahoo Research NYC is looking for junior and senior level Research Scientists in Computer Vision and Deep Learning. Computer Vision at Yahoo Research tackles some of the most interesting real-world problems in image and video understanding. Powered by Yahoo's massive repository of multimedia content, we conduct research and development in a variety of areas including visual recognition, visual saliency detection, vision/language, visual aesthetics and creativity; and, we do so by applying our expertise in computer vision, machine learning, and deep learning. Our work has direct impact on many of Yahoo's flagship products by powering core technologies such as multimedia metadata enrichment, search and recommendation, video highlight detection and summarization, and search by visual content. We will challenge your brain every day, and when you succeed you will change the lives of hundreds of millions of people, allowing them to do things they never dreamed they could do. Come join us and use your scientific background to drive Yahoo-scale innovation! We strongly encourage our team members to stay abreast of novel academic work and publish papers and/or patents when appropriate. We also release open-source projects and datasets. This is an exciting opportunity to apply your computer vision skills to the 10 terabytes of data that Yahoo captures every day. Your Day : (1) Design and carry out both fundamental and applied research in large-scale image and video understanding. (2) Work closely with engineers to develop prototypes and transfer research to new products, new processes, and/or new business areas. (3) Actively participate in the academic community and publish high quality research. (4) Collaborate with academics and students from top universities on novel research ideas. You Must Have : (1) Ph.D. in Computer Vision, Multimedia, Deep Learning, Machine Learning, AI or a related field. (2) 5+ years of research experience in computer vision, multimedia, deep learning, machine learning, and AI methodology. (3) Publications in top-tier conferences and journals in related fields (e.g., CVPR, ECCV, ICCV, NIPS, ICML, ICLR, etc.). (4) Strong algorithmic problem solving and software development skills (C/C++, Python, Java, etc.). (5) Excellent communication & writing skills.

Posted on: 2017-01-03 17:23:12 UTC

Postdocs and Research Assistants

Nanyang Technological University|Singapore

Postdoctoral and research assistant positions are available in Prof. Wang Gang's group (http://www3.ntu.edu.sg/home/wanggang/) at Nanyang Technological University, Singapore. The candidates will be responsible of conducting research in the area of deep learning and high level image analysis and understanding (including image generation, recognition, detection, etc). The candidate is expected to publish high quality conference and journal papers in top publication venues such as CVPR and TPAMI. A strong background in computer vision and machine learning is required. The positions are provided for up to three years with very competitive salary. There is no fixed deadline, applications will be considered until the position is filled. Nanyang Technological University is a top international university with outstanding research environment and facilities.

Posted on: 2017-01-03 03:56:02 UTC

Research Fellow

Biometrics and Forensics Lab|Nanyang Technological University, Singapore

The Biometrics and Forensics Lab (http://forensics.sce.ntu.edu.sg/about/) under the School of Computer Science and Engineering at Nanyang Technological University, Singapore has one Research Fellow opening in the areas of image processing, pattern recognition and computer vision. This is a 12 months position. The position is extendable for another two years. The job will start at the beginning of Feb 2017 and the salary is around S$4000 Singapore dollars The position involves designing and implementing image processing and pattern recognition algorithms and evaluating their performance. The candidate must have a PhD degree in Computer Science, Electrical & Electronics Engineering, or related disciplines. Fluency in Matlab and C++ is required. Knowledge in machine learning, including deep learning, image processing and pattern recognition is a must. Independent research experience and experience in developing and deploying image processing or pattern recognition algorithms are essential. Experience in publishing scientific papers in top quality conferences/ journals is also necessary. If you are interested, please send your CV to adamskong@ieee.org with email title “Research fellow application”

Posted on: 2016-12-29 11:33:22 UTC

PhD Posisition

NTNU|Norway

Fully funded PhD position is available, for more information refer: http://www.nislab.no/content/download/51416/1058229/file/Offer_PhD_Thesis_PAD-161215.pdf

Posted on: 2016-12-27 13:46:54 UTC

Computer Vision Interns

SRI International|Princeton, NJ

SRI International is a nonprofit, independent research center serving government and industry. We work on some of the world’s most important problems, collaborating across technical disciplines to spark new ideas and solutions. From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society. SRI moves R&D from the laboratory to the marketplace to create high value and real innovation. And the platforms we build today are designed to meet tomorrow’s needs. For example, an artificial intelligence project for DARPA led to the development of SIRI for Apple’s iPhone. SRI's, Center for Vision Technologies (located in Princeton, NJ) is comprised of the Vision & Robotics, Vision & Learning, and Embedded Vision Labs, and works in technologies and applications covering the spectrum from low-level vision to high-level vision. We pride ourselves in pushing the frontiers of R&D in Video and Vision Technologies with the goal of “making Vision work in the real world”. If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you. SRI’s Princeton location has a variety of technical staff and intern positions currently open at various levels in the following areas: • Computer Vision • Vision and Robotics Algorithms and Systems • Vision & Learning Algorithms and Systems • Vision Systems • Visual and Multi-Modal Data Mining/Pattern Analysis If you are interested in applying for a position with SRI, please visit the Careers section of our website at https://www.sri.com/careers/search-jobs and search for keyword:Vision. You can also email a resume to erica.saunders@sri.com

Posted on: 2016-12-21 16:01:54 UTC

Computer Scientist openings

SRI International|Princeton, NJ

SRI International is a nonprofit, independent research center serving government and industry. We work on some of the world’s most important problems, collaborating across technical disciplines to spark new ideas and solutions. From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society. SRI's Center for Vision Technologies (located in Princeton, NJ) is comprised of the Vision & Robotics, Vision & Learning, and Embedded Vision Labs, and works in technologies and applications covering the spectrum from low-level vision to high-level vision. We pride ourselves in pushing the frontiers of R&D in Video and Vision Technologies with the goal of “making Vision work in the real world”. If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you. SRI’s Princeton location has a variety of technical staff and intern positions currently open at various levels in the following areas: • Computer Vision • Vision and Robotics Algorithms and Systems • Vision & Learning Algorithms and Systems • Vision Systems • Visual and Multi-Modal Data Mining/Pattern Analysis If you are interested in applying for a position with SRI, please visit the Careers section of our website at https://www.sri.com/careers and search keyword: Vision.

Posted on: 2016-12-21 15:57:58 UTC

Postdoctoral fellowship in medical image processing and machine learning

Boston Children's Hospital and Harvard Medical School|Boston,MA, USA

Position description: The Computational Radiology Laboratory (CRL) at Boston Children’s Hospital and Harvard Medical School has an immediate opening for a post-doctoral research fellow to develop automated image analysis and motion-robust quantitative MR imaging techniques to compute imaging markers of disease in abdominal MRI for projects funded by the National Institutes of Health. The researcher will develop highly innovative imaging and image processing techniques and software tools including image segmentation, registration approaches, machine learning, and classification algorithms to analyze images, correct for motion and distortion, and reconstruct high-resolution images and estimate quantitative model parameters to generate marker of disease in abdominal structures using in-vivo MRI and diffusion-weighted MRI. The researchers will have access to radiologists, MR physicists, will have mentorship from an expert team of principal investigators, and will attend courses and seminars offered at Boston Children’s Hospital, Harvard Medical School, and Harvard Catalyst. The researcher will work closely with Dr. Sila Kurugol and will be supervised by Prof. Simon Warfield. About CRL: The mission of CRL is improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations. Opportunities for cross-training and networking are enormous with several top-rank universities (Harvard, MIT, Northeastern, and Boston University), top-rank hospitals and medical research centers, and biotechnology and pharmaceutical companies in the neighborhood. Minimum requirements: • PhD in electrical or biomedical engineering, computer science, medical physics, or a related field with a research focus on biomedical image processing/medical image computing, machine learning, computer vision, and/or magnetic resonance imaging • Demonstrated record of high-performance scientific programming with C++ /python • Demonstrated record of high-quality publications in the field • Demonstrated analytical, verbal, and scientific writing skills Highly desired qualifications: • Experience in abdominal imaging, diffusion weighted MRI, dynamic contrast enhanced MRI • Experience in biomedical image registration and segmentation • Experience in motion and distortion correction • Experience in MR image reconstruction • Experience in machine learning, computer vision, and pattern recognition • Experience in high performance computing, parallel computing and GPU CUDA programming • Demonstrated record of high-performance scientific programming with C++ To apply: Please send your CV along with a copy of a technical paper, the desired start date, and a brief statement of goals to Dr. Sila Kurugol ( sila.kurugol@childrens.harvard.edu ) and Dr. Simon Warfield ( simon.warfield@childrens.harvard.edu ). Computational Radiology Laboratory, Boston, Massachusetts, USA; http://crl.med.harvard.edu/

Posted on: 2016-12-20 23:09:01 UTC

Post-doctoral computer vision scientist

OSRAM GmbH|Munich, Germany

We are seeking a passionate full-time postdoctoral scientist in computer vision. The scientist would collaborate with an international team, university and large industrial partners towards computer vision for autonomous driving and smart cities, with special focus on the city infrastructure. The scientist would take large responsibilities in defining novel R&D pathways and proving them. Expertise in person and object detection, recognition and tracking would be needed. Any other research experience in action recognition, pose estimation and scene understanding are welcome, as well as personal and proactive initiative. We request a strong international publication record. Ability to program in C/C++ is essential. Other programming languages, communication skills and team play are desirable. We provide equal opportunities to all applicants and favor diversity. Application Instructions: Please contact Dr. Fabio Galasso (f.*surname*@osram.com). Send to him CV, cover letter, publication list and contact details of 3 referees.

Posted on: 2016-12-16 10:20:58 UTC

Post-doctoral computer vision scientist

OSRAM GmbH|Munich, Germany

Posted on: 2016-12-16 10:19:47 UTC

Research Scientist - Computer Vision

RetailNext|San Jose, CA

RetailNext is the worldwide market leader and expert in brick-and-mortar retail analytics. We track more than a billion shopping trips per year by collecting data from nearly 100,000 sensors in retail stores and analyze trillions of data points annually. Headquartered in San Jose, CA, RetailNext is a growing global brand operating in more than 40 countries. Cutting-edge Computer Vision is at the core of the RetailNext's suite of proprietary technologies. Our R&D team works on problems ranging from multiple object tracking and facial analysis, to image registration, mosaicking, and 3D reconstruction. We recently branched out from our roots as a software company by designing and building our own cloud-managed stereo sensor, Aurora, that features onboard shopper detection and tracking analytics using video, in addition to WiFi and Bluetooth-based analytics and on-board HD video recording. The need to understand shopper behavior drives us to do novel research in object, action, and gesture recognition, and we are looking for a Computer Vision Research Scientist to join our R&D team to help with those efforts. You will have an enormous opportunity to conduct applied research and development in Computer Vision and Machine Learning, that will become part of real-time applications analyzing visual data across hundreds of thousands of sensors worldwide. In particular, you will be involved in exploring and developing CV/ML techniques to perform object detection; including parts based modeling and inference, and training and using SVM/LSVM classifiers, convolutional neural networks and deep networks as detectors. These techniques will be applied towards solving real world problems like human, upper body, head, and face detection, facial landmark detection, recognition, and pose estimation in challenging “in-the-wild” environments. Your research will create intellectual properties, leading to patents and/or publications in international conferences and peer-reviewed journals. The position requires a Ph.D. in Computer Vision or Machine Learning. The position also requires a proven research track record of peer-reviewed journal/conference publications in top-tier venues. Strong programming skills in C/C++, MATLAB and rapid prototyping experience is required. Responsibilities -Develop state-of-the-art computer vision algorithms for object detection, classification, and recognition -Prototype hardware and software solutions for detection, classification, and recognition -Develop computer vision techniques for object detection: devising discriminative features, parts based modeling, SVM/LSVM classifiers or CNN based detection; and for facial analysis: face detection, landmark detection, -recognition, classification, and pose estimation -Contribute research applicable to RetailNext product development -Develop robust software for integrating multiple sensors and tracking systems Requirements -PhD in Computer Science or Electrical Engineering with a focus on Computer Vision, or Machine Learning -Track record of peer-reviewed journal/conference publications or patents in Computer Vision, or Machine Learning -Hands-on experience with learning based object detection -Working knowledge of supervised and semi-supervised learning, discriminative and generative classification, discrete optimization, and multi-view geometry -Experience with computer vision/machine learning libraries such as OpenCV, Matlab -Experience building systems integrating input from multiple sensor modalities

Posted on: 2016-12-14 19:30:06 UTC

Sr Research Scientist & 2 x Research Engineers

Deep Learning / Computer Vision Start-Up |London

I am working in partnership with an exciting firm that have had one of the best seeding rounds in Europe this year. My client is building a self-service deep learning platform that will be able to automate any visual inspection tasks. They are utilising cutting-edge techniques such as one shot learning to minimise the amount of time it will take to train their platform to adapt to the demands of each user. Alongside this, they are also using skills/techniques such as: Tracking, Multi-Target Tracking, Detection, Segmentation, Image Processing, Video Processing, CNNs, RNNS, LSTMs, Reinforcement Learning, Transfer Learning, TensorFlow, Python/C++ etc. This firm are already working with clients and generating revenues across two continents with a pilot scheme alone. A rapid expansion is set in place following swift initial successes. They also have one of the most successful names in Computer Vision working with them as a Scientific Advisor. My client will encourage the publishing of research and attendance of leading conferences to ensure their staff will remain at the forefront of Tech/R&D. They are looking to hire a Sr/Lead Research Scientist from a PhD background with an excellent publication history (NIPS, ICML, CVPR etc). This person will have a background that spans across Deep Learning/Computer Vision with a solid skill-set in Machine Learning too. For their Research Engineers hires, they are looking for people at Masters (and above) level with a strong grounding in both research and implementation. After these hires and further product development, my client has a lot more growth planned through 2017, so now is a fantastic time to join and earn a very competitive salary. If you would like to find out more details on this fantastic company, please apply with a CV to this advert or to my email – s.khelil@westbourne-partners.com

Posted on: 2016-12-13 10:51:32 UTC

Multiple Openings in 3D Pose Estimation and Modeling at HRL

HRL Laboratories|Malibu, CA, USA

Please take a look at the first posting for the other necessary requirements. * Experience Desired: Research and development experience in one or more of the following areas: 3D registration, point cloud processing, 3D modeling, visual structure from motion, and computer vision. Experience in development using sensors such as (stereo) camera, LIDAR, Kinect, etc. and their fusion. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Familiarity with C, C++, Python, OpenCV, ROS, PCL, OpenNI, Matlab/Simulink. * Application Instructions: Please email your resume/CV to [kkim at hrl.com]. Note that applications that don't meet the US residency requirement will be ignored.

Posted on: 2016-12-13 03:28:59 UTC

Multiple Openings in Autonomous Driving at HRL

HRL Laboratories|Malibu, CA, USA

Posted on: 2016-12-13 03:26:00 UTC

Multiple Openings in Machine Learning at HRL

HRL Laboratories|Malibu, CA, USA

Posted on: 2016-12-13 03:08:51 UTC

Deep Learning Research Engineer

NovuMind|Santa Clara, California

NovuMind is dedicated to improving lives through the creation of Thinking Things. Leveraging our bleading edge Artificial Intelligence technology, NovuMind combines big data, high-performance supercomputers, and heterogeneous computing to transform the Internet of Things (IoT) into the Intelligent Internet of Things (I²oT). If you are an ambitious, imaginative, independent self-starter who work well on teams, come join our world class team of scientists and engineers to solve high impact problems. You will be working with/on one of the fastest supercomputers ever built dedicated to solving real world machine learning problems at scale. =============== We have multiple job openings in the following areas: Deep Learning, Reinforcement Learning, CNN, RNN, LSTM, GAN. Computer Vision: Action Recognition, Face Recognition, Image Captioning, Object Detection and Tracking. Speech Recognition: voice commands, microphone beam forming. High Performance Computing, Parallel Computing, Distributed Computing. C/C++, OpenCV, CUDA/OpenCL, CUDNN, Caffe, MXNet, Tensorflow, Torch. =============== Candidates available to start immediately will be given high priority. If needed, US work visa and permanent residency application sponsorship are available for full time candidates. NovuMind is an E-Verify company. Please email your resume to Kar Han Tan at jobs@novumind.com

Posted on: 2016-12-07 18:34:58 UTC

Deep Learning Research Engineer

NovuMind|Santa Clara, California

Posted on: 2016-12-05 19:13:28 UTC

CV Engineer

Anki|San Francisco

Any reader of Bradbury, Asimov, Gibson, Stephenson et al. knows that robots are the future. That’s what we’re building at Anki. We’re dedicated to solving the real, brand-new problems in consumer robotics, making the user experience as natural and intuitive as turning on a light. We’ve started by connecting robots to those tiny supercomputers everyone carries around in their pocket, making it easy for people to have fun with their robo-buddies. Who knows how far we can take it? You will, if you come build robots with us. So make your mark on the future of robotics by working someplace where you can have genuine impact. You’ll lay hands on the most sophisticated uses of artificial intelligence in any consumer product today—and improve them. You’ll work on projects that you can point at in stores and tell people “I helped build that” and it’ll make you feel great. And that’s not all we have to offer: you’ll enjoy all the good parts of a startup (stock options, a chance to create process & culture from the get-go) with all the great parts of a well-funded company (scenic, central office space, competitive salaries & benefits, free food). We’re building the future of entertainment and we need your help to do it well. As a computer vision engineer on our team, you have the ability to make a robot actually see. You understand that a pile of pixels is a far cry from truly understanding the world. You also know that efficiently making sense out of an image and creating actionable information from it requires a certain kind of programming ability. And you’d rather deploy your creations at scale in the real world than build a one-off proof of concept and write a paper about it. We’re looking for engineers who exhibit dual fluency in computer vision and software engineering, who can bridge the gap between the pixels and a robot reliably functioning in thousands of real people’s real living rooms around the world. We want someone who thinks on his/her feet, is curious, creates tools or processes as needed to get the job done, and hates to be bored. You know robotics is multidisciplinary by definition. Robotics mixed with gaming, produced at a consumer scale, is even more so. Our ideal candidate is happy to work on a variety of problems, stepping up as needed to help and interact with people from all parts of the organization. If you’re ready to use the full scope of your expertise, you’ve found the right company. This isn’t every other job you’ve had. This is the one that lets you learn, grow, and stay engaged—while building robots! Duties and Responsibilities Maintaining and extending the capabilities of Anki’s vision platforms and how they interact with and inform the rest of the robotic system. Face and object recognition, visual navigation, obstacle avoidance, 3D structure recovery, illumination compensation, etc, may all land on your plate. Working with an experienced team of robotics, AI, and software engineers Working with game designers/engineers and testers to deliver the best user experience possible Must-Have Qualifications Real-world experience with computer vision, including OpenCV Real-world experience with machine learning techniques for vision Very strong C++ skills Experience with Matlab Strong problem-solving and analytical skills Excellent communication skills Ability to work independently in a fast-paced, iterative development environment Ability to read and understand academic papers and turn them into production code Comfortable diving into a large codebase that spans multiple devices and understanding it quickly not only through sheer awesomeness but also through asking questions early and often Comfortable working in a fluid environment, ripping out or changing code as requirements and needs evolve Comfortable working with complex systems, and trying to tame that complexity for the benefit of both users and your fellow developers Excellent coding and testing habits. Our robots operate in the often unpredictable real world. You take pride in delivering clearly-written, reusable, and well-tested code in a timely fashion. Bachelors degree in Computer Science, Robotics, EE or related field (Masters degree a plus) Qualifications that Make You Extra Special Hands-on experience with robotics Familiarity with Python and/or C# Graduate-level degree Benefits Competitive salaries, stock options and great benefits (health, subsidized public transportation costs, generous vacation) Great San Francisco office with lots of light and great views, convenient to every mode of mass transit – on wheels, on rails and on water Early stage start-up where you’ll help shape the culture and have a huge impact Free catered lunches, snacks and drinks You get to work on innovative products and challenging problems with some amazingly talented (and fun) people!

Posted on: 2016-12-02 23:49:46 UTC

Postdoctoral Associate

Rensselaer Polytechnic Institute (RPI)|Troy, NY, USA

The Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in Troy, NY seeks applicants for a postdoctoral research position in the area of real-time person and object tracking for mass transit environments. The goal is to design real-time algorithms for passenger and baggage tracking at a realistic mock-up of an airport security screening checkpoint. The position is available January 1, 2017 and is expected to last one year from the date of hire. The research will involve the design and calibration of multi-camera networks (both fixed-focus and pan-tilt-zoom); image/video stitching; person tracking and re-identification from above and from the side; object tracking (e.g., luggage on conveyor belts); person-to-object association; and anomaly detection such as lost or stolen bags. The postdoc will work under the supervision of Dr. Rich Radke at Rensselaer, and work closely with other performers on the project from different sites. Please see more info at https://www.ecse.rpi.edu/~rjradke/postdocad.html.

Posted on: 2016-11-26 18:25:44 UTC

Computer Vision Researcher 2017 [Computer Vision / Machine Learning]

Rakuten Institute of Technology|Tokyo, Japan

Join a growing research team in the areas of computer vision and machine learning. Our current areas of interest deep learning, include image recognition and search, visual SLAM, AR, VR, recommender systems, and multimedia processing. Many of our research outputs have been transferred directly to business units and benefit customers world-wide. As a member of the team you will work towards state-of-the-art solutions that can be practically deployed in the business. Academic publications are encouraged. Requirements: You have (or will soon complete) a PhD in computer vision, machine learning, or computer graphics. You enjoy solving problems theoretically as well as building practical solutions. You can code and are fluent in at least one programming language, e.g. C++ or Python, and have expertise in one or more of the areas of interest. Beneficial: You have a strong track record of projects, code contributions, and international publications. Prior relevant work experience is viewed favorably. About RIT: http://rit.rakuten.co.jp/ About Crimson House: http://global.rakuten.com/corp/about/crimsonhouse/ Rakuten Crimson House is located in Futako-Tamagawa, 10 minutes from Shibuya by train, and a popular area in west Tokyo next to the Tama River. Breakfast, lunch and dinner are offered free of charge at the office. The company language is English. How to apply: https://jobs.rakuten.careers/careersection/rakuten_ext_cs/jobdetail.ftl?job=00000217 There is currently no closing date for applications.

Posted on: 2016-11-24 06:14:50 UTC

Computer Vision Researcher

SPORTLOGiQ|Montreal, QC, Canada

SPORTLOGiQ, the leading provider of advanced analytics data for professional hockey teams and broadcast media is looking for highly motivated computer vision and machine learning researchers to build our next generation advanced sport analytics platform. Requirements: PhD with research experience in computer vision and machine learning; Publications in relevant fields in top-tier conferences and journals; High proficiency in C/C++ or Python; Strong working knowledge of software architecture and data structure; Up-to-date knowledge and understanding of recent advances in machine learning, particularly deep learning; Research experience in “multi target tracking” or “activity/interaction recognition” Work environment: we offer competitive salaries in a fun and cooperative environment, flexible work schedule, bonuses, employee stock options, and freedom to publish. More info at: http://sportlogiq.com/#careers Please send your CV to mehrsan [at] sportlogiq.com

Posted on: 2016-11-22 14:03:14 UTC

Computer Vision Researcher

SPORTLOGiQ|Montreal, QC, Canada

Posted on: 2016-11-22 14:01:57 UTC

Summer Research Internship at Yahoo Research NYC

Yahoo Research|Manhattan, New York

The Computer Vision Group at Yahoo Research NYC is looking for an outstanding PhD intern Research Ccientist for the Summer 2017. We are looking for candidates with expertise in Computer Vision and Multimedia, with research experience in the following areas: large-scale visual recognition, video understanding, deep learning, language and vision, video summarization, computational aesthetics and creativity, etc. We are located at the heart of Manhattan, New York -- just a few steps from the Times Square. The candidate will work with a team of Research Scientists and Engineers tackling real-world problems involving Yahoo's web-scale multimedia data (e.g., Flickr, Tumblr, Yahoo Sports, Yahoo News, Yahoo Finance, etc.). The candidate will have a chance to publish at top-tier conferences in Computer Vision and Multimedia. Requirements: - Currently enrolled in PhD program with focus on computer vision or related fields. - Experience with various libraries and platforms in computer vision, deep learning, and machine learning. - Strong algorithmic problem solving skills, and the ability to implement solutions in C/C++, Python, Java, etc. Application Instructions: Send your CV with a link to your academic website to computer-vision-interns@yahoo-inc.com

Posted on: 2016-11-21 17:41:21 UTC

Sr. Machine learning Engineer-System

Emerging Technology Center of Midea Group|San Jose, CA

Emerging Technology Center (ETC) of Midea Corp. , located in San Jose, CA, is one of worldwide research centers that form Midea Corporate Research Center (CRC). https://www.linkedin.com/company/105000?trk=prof-exp-company-name. We are dedicated to leveraging advanced techniques to improving lives and have a number of exciting projects in the field of AI, BI, IOT, Robotics. We are looking for strong candidates of machine learning in system areas. Qualifications: 1. Master or Ph. D degree in CS, EE or related areas; 2. Able to write efficient and clean code in C/C++ for Linux/UNIX Platform. 3. Experiences with high performance computing(HPC) technologies, for example GPUs, high-speed networks, MPI, CUDA ,OpenCL; 4. Know how to map algorithms to parallel hardware and optimize code with SIMD 5: Familiarity with script language, such as shell, Python. 6. Strong written and oral communication skills If you are interested in. Please email your CV to xiaochun.li@midea.com.

Posted on: 2016-11-14 21:14:20 UTC

Sr. Computer Vision Engineer

Emerging Technology Center of Midea|San Jose, CA

Emerging Technology Center (ETC) of Midea Corp. , located in San Jose, CA, is one of worldwide research centers that form Midea Corporate Research Center (CRC). https://www.linkedin.com/company/105000?trk=prof-exp-company-name. We are dedicated to leveraging advanced techniques to improving lives and have a number of exciting projects in the field of AI, BI, IOT, Robotics. We are looking for strong candidates of computer vision. Qualifications: 1. Master or Ph. D degree in CS, EE or related areas; 2. Requires a minimum of2 plus years experience; or equivalent experience. 3. Hands-on experience with Deep Learning for computer vision; 4. Hands-on experience in Caffe, TensorFlow,Torch or other deep learning toolkit; 5. Excellent problem solving skills; 7. Proficient in C/C++, Python, OpenCV/CUDA 6. High performance computing 7. Experience with fast prototyping 8. Strong written and oral communication skills If you are interested in. Please email your CV to xiaochun.li@midea.com.

Posted on: 2016-11-14 19:34:27 UTC

Sr. Machine Learning Engineer (speech Recongition/NLP)

Emerging Technology Center of Midea Corp.|San Jose, CA

Emerging Technology Center (ETC) of Midea Corp. , located in San Jose, CA, is one of worldwide research centers that form Midea Corporate Research Center (CRC). https://www.linkedin.com/company/105000?trk=prof-exp-company-name. We are dedicated to leveraging advanced techniques to improving lives and have a number of exciting projects in the field of AI, BI, IOT, Robotics. Qualifications: 1. Master or Ph. D degree in CS, EE or related areas; 2. Requires a minimum of over 2 years experience or equivalent experience; 3. Hands-on experience with Deep Learning for NLP; 4. Hands-on experience in Caffe, TensorFlow or other deep learning toolkit; 5. Proficient in C/C++, Python, CUDA; 6. High performance computing; 7. Experience with fast prototyping; 8. Strong written and oral communication skills If you are interested in. Please email your CV to xiaochun.li@midea.com.

Posted on: 2016-11-14 19:26:35 UTC

Permanent R&D position on Artificial Intelligence

Hitachi Europe|Sophia Antipolis, FRANCE

The post holder will be part of a dedicated European R&D team, with specific focus on the development of Artificial Intelligent-based automotive technology. As a Researcher, she/he will be operating in the following key areas – Computer vision, Machine learning such as Deep Learning algorithms, Information Analysis and Software Engineering. It’s about using Software Engineering in the specification and development of an AI platform capable of processing automotive data as well as in the adaptation of the technologies of Hitachi R&D developed in Japan to European requirements. She/he will conceive/specify/develop an AI system which will be the fundamental component of Autonomous Vehicles, and will investigate specific issues on vehicle sensing and vehicle control, keeping into consideration aspects of comfortability for the end user and providing machine learning based technical solutions which are reliable, efficient and flexible. The post holder is expected to present the results of the research activities within Hitachi R&D, as well as follow and participate in EU research activities and consortia. EU trends are reported and discussed with Hitachi R&D centres in Japan. The post holder will need to build and maintain strong relationships with colleagues in other Hitachi R&D sites, which includes eventual temporary travels in different continents. This role offers the opportunity to be involved in a variety of different areas such as projects of global significance and worth, be part of a leading-edge team and to contribute to an increasingly important business division of the Hitachi Group. https://hitachi.taleo.net/careersection/2/jobdetail.ftl?job=34686&lang=fr_FR#.WCmJeWyzmSw.mailto

Posted on: 2016-11-14 10:15:57 UTC

Summer Internships 2017 [Computer Vision /Machine Learning/Graphics]

Rakuten Institute of Technology|Tokyo

Rakuten Institute of Technology is the R&D lab of Rakuten, the prime Japanese Internet services company. We are active in many areas, including e-commerce, travel, finance, media, and, not least, professional baseball. Join us for a 3-month internship to work with a group of friendly researchers in the areas of computer vision and machine learning. You will be paired with a mentor for the duration of the internship (company language is English). In 2017 we have a number of exciting projects in these areas: Visual SLAM, AR, VR, image and video recognition, computer graphics, machine learning, and audio processing. Requirements: You are a PhD student in computer vision / machine learning / computer graphics, enjoy coding, are fluent in at least one language, e.g. C++ or Python, and have expertise in one or more of the areas of interest. Beneficial: You have a strong track record of projects / code contributions / publications. Rakuten Crimson House is located in Futako-Tamagawa, 10min from Shibuya, a popular area in west Tokyo next to the Tama River. Internships are paid, and travel and accommodation support will be provided for overseas candidates. Breakfast, lunch and dinner are offered free of charge at the office. About RIT: http://rit.rakuten.co.jp/ About Crimson House: http://global.rakuten.com/corp/about/crimsonhouse/ Application Deadline: 31 January 2017

Posted on: 2016-11-10 09:05:17 UTC

Computer Vision Architect

Synaptics Inc|San Jose, CA

Synaptics is rapidly expanding its biometric algorithm team focusing on single- and multi-modal biometric authentication. The specific challenges of this work go far beyond the traditional ones associated with fingerprint matching. We are looking for candidates with a combination of expertise in computer vision, pattern recognition and machine learning along with excellent programming and implementation skills. This role involves the design, testing, debugging and optimization of algorithms. Algorithm speed, accuracy and robustness are of paramount importance. Much of the work will be developed in Matlab and C. There will be significant interaction with other members of the team, who are also experts in the field, in the common pursuit of market-leading biometric products. -Required Qualifications PhD in EE/CS with background in computer vision or related field Fluency in developing code in C/C++ Ability to design experiments, analyze data, and debug and optimize algorithms Works well within a multi-discipline development environment Thinks outside the box, strategic and creative -Desired Qualifications Machine learning Matlab (including imaging toolbox) Experience in statistical modeling and regression FPGA emulation and optimization of hardware-accelerated algorithms Knowledge of digital image processing Experience in porting to embedded systems and optimizing code for such platforms

Posted on: 2016-11-08 23:18:01 UTC

Sr. AI Engineer

Emerging Research Center of Midea Corp|San Jose, CA

Emerging Technology Center (ETC) of Midea Corp. , located in San Jose, CA, is one of worldwide research centers that form Midea Corporate Research Center (CRC). https://www.linkedin.com/company/105000?trk=prof-exp-company-name. We are dedicated to leveraging advanced techniques to improving lives and have a number of exciting projects in the field of AI, BI, IOT, Robotics. We are looking for strong candidates. Areas we work on: 1. Large Scale machine learning; 2. Computer vision; 3. NLP; 4. Deep Learning; 5. Semantic Segmentation; 6. Speech recognition; Qualifications: 1. Master or Ph. D degree in CS, EE or related areas; 2. Requires a minimum of over 4 years experience; or equivalent experience. 3. Hands-on experience with Deep Learning for computer vision or NLP; 4. Hands-on experience in Caffe, TensorFlow,Torch or other deep learning toolkit; 5. Strong background in computer vision or NLP algorithms, applied machine learning, deep learning, multimodal learning 6. Excellent problem solving skills; 7. Proficient in C/C++, Python, OpenCV/CUDA 8. High performance computing 9. Experience with fast prototyping 10. Strong written and oral communication skills If you are interested in. Please email your CV to dongyan.wang@midea.com.

Posted on: 2016-11-08 19:10:11 UTC

R&D Researcher

Yoti|London

We are looking for Researchers to join our expanding R&D team. We are working on a number of exciting projects in the field of biometrics and are looking for a R&D Researcher to join our team. You should have strong analytical and problem solving skills with the capability of implementing academic papers into functional prototypes. About you This position operates in a team; self-motivation and a good working ethic/attitude are a must to be successful in this environment. You have a positive approach and a great attitude, always try to face challenges with a smile. Ability to work to tight deadlines and on multiple projects simultaneously. Excellent communicator, open, honest, transparent and inclusive in your communications. Commitment, you’re eager to learn, you never give up, and you find solutions where others see problems. You’re collaborative, both an active participant and listener. Respectful of others, communicate constructively and willingly lend a hand to help others when needed. Skills and experience Required PhD in computer vision, image processing or related fields preferably with application to facial data analysis (e.g. face recognition/verification, pose estimation, face alignment, face behaviour analysis). Good knowledge of pattern recognition and machine learning techniques. Matlab or Python. Git Ability to write clean and well maintained code. Attention to detail. Desirable Experience with deep learning architectures and libraries for vision Caffe and/or Tensorflow. First author publications in top tier journals or conferences (e.g. TPAMI, IJCV, ICCV, ECCV, CVPR) Private Medical Insurance Life Insurance 25 days holiday 5 Selfie Days - for your own personal development: volunteering, charity events etc An open-plan office opposite Trafalgar Square Team events Learning - conferences, events, courses encouraged Yoti is a global technology company whose aim is to be the world’s trusted identity system. Founded in 2014, our passionate team works to improve the way people share their personal information. Innovative products, like the Yoti smartphone app, help people to prove who they are and confirm who other people are, online and in person. Our company has a fantastic modern office situated in central London with a vibrant and friendly atmosphere. For further information and to see how Yoti works, head to our website: https://www.yoti.com/

Posted on: 2016-11-01 11:07:43 UTC

Computer Vision Intern

eBay Inc|San Francisco, CA

The Computer Vision team at eBay New Product Development is seeking a few highly qualified Ph.D candidates for exciting summer internship positions in the area of Computer Vision. We developed the visual search feature on ShopBot (https://shopbot.ebay.com/), a commerce chatbot on Facebook Messenger which is in beta now. Play with it by uploading a product picture. We would like to take it to the next level and looking for strong candidates. Areas we work on: (i) Large Scale Visual Search/Detection/Recognition (ii) Fine Grained Classification (iii) Attribute Discovery and Localization (iv) Weakly Supervised Learning (v) Deep Learning (vi) Semantic Segmentation (vii) OCR Basic Qualifications: (i) Currently enrolled in a PhD program in Computer Science or related disciplines (ii) Publication in at least one top-tier computer vision conference such as CVPR, ICCV. This is mandatory. (iii) Hands-on experience with Deep Learning for computer vision (iv) Mandatory hands-on experience in Caffe, TensorFlow or Torch (v) Strong background in computer vision algorithms, low level vision, applied machine learning, deep learning, multimodal learning (vi) Excellent problem solving skills (vii) Proficient in C/C++, Python, OpenCV/CUDA (viii) Experience with fast prototyping (ix) Strong written and oral communication skills. Email your CV to DL-ebay-erl-vision@ebay.com. Since internships are offered on a rolling basis, the sooner we receive your resume, the higher is the chance of us working together.

Posted on: 2016-10-24 05:01:58 UTC

Computer Vision Intern

eBay, Inc.|San Francisco, CA

Job Description: <img src="http://vision.ebay.com/common/images/ebaySmall.png"/> The Computer Vision team at eBay New Product Development is seeking a few highly qualified Ph.D candidates for exciting summer internship positions in the area of Computer Vision. We developed the visual search feature on <a href="https://shopbot.ebay.com/">ShopBot</a>, a commerce chatbot on Facebook Messenger which is in beta now. Play with it by uploading a product picture. We would like to take it to the next level and looking for strong candidates. eBay hosts one of the largest labeled image inventories on the web, and offers several exciting opportunities in emerging areas of vision research. We actively pursue ideas that result in scalable vision algorithms, while leveraging the scale of labeled image data and world class compute infrastructure that eBay offers. The internship is tailored to help you select a contemporary research problem that is of interest to eBay and work towards results that are publishable in top tier vision conferences. Areas We Work On <ul> <li>Large Scale Visual Search/Detection/Recognition <li>Fine Grained Classification <li>Attribute Discovery and Localization <li>Weakly Supervised Learning <li>Deep Learning <li>Semantic Segmentation <li>OCR </ul> Basic Qualifications <ul> <li>Currently enrolled in a PhD program in Computer Science or related disciplines <li>Publication in at least one top-tier computer vision conference such as CVPR, ICCV. This is mandatory. <li>Hands-on experience with Deep Learning for computer vision <li>Mandatory hands-on experience in Caffe, TensorFlow or Torch <li>Strong background in computer vision algorithms, low level vision, applied machine learning, deep learning, multimodal learning <li>Excellent problem solving skills <li>Proficient in C/C++, Python, OpenCV/CUDA <li>Experience with fast prototyping <li>Strong written and oral communication skills </ul> Email your CV to <a href="mailto:DL-ebay-erl-vision@ebay.com?Subject=Summer Intership 2017 - Computer Vision" target="_top">DL-ebay-erl-vision@ebay.com</a>. Since internships are offered on a rolling basis, the sooner we receive your resume, the higher is the chance of us working together.

Posted on: 2016-10-24 04:55:39 UTC

Internship opportunity at Adobe Research

Adobe Research|San Jose, CA, USA

There is an immediate opening for a deep learning and computer vision research internship position at Adobe Research. Candidates should have a solid background in deep learning and vision. Experience in reinforcement learning is preferred. As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the potential of contributing to Adobe's product line, and consequently impacting millions of computer users worldwide. About Adobe's Internship Program Adobe internships provide valuable work experience to enhance your academic pursuits. As an intern, you'll be involved in exciting team projects with some of the most talented people at Adobe. You will learn from the best while working in a fun and creative environment. For more about Adobe's internship program, visit https://research.adobe.com/internships/ . Application Instructions: Application Instructions: Interested candidates should email a CV to cfang@adobe.com

Posted on: 2016-08-24 17:37:59 UTC

Sr. Research/Software Engineer - HDMap (Deep Learning)

HERE|Chicago, IL, USA

Join a team of highly skilled and innovative engineers to work on large-scale Deep Learning problem for Highly Automated Driving (HAD). Automated Driving industry is rapidly expanding. Join us in building the most precise and detailed map that will make Automated Driving a reality. This is an excellent opportunity to work with an energetic and dedicated team on highly visible, technology-driven problems with a direct connection to the success of the company. No prior experience in the domain of Maps is required. We are looking for people who remain learners throughout their career, and whose inquisitiveness and love of technology will propel our products forward. Qualifications: Fluent in C++ - Experience working with OpenCV, Caffe, Theano or similar deep learning platform, Experience working under Linux platform. Experience working with open source project/enterprise software is a plus â€“ Experience working with Python is a plus. Expert in working with and publishing in Deep Learning(desired) Education: PhD or MS in Computer Science or Electrical Engineering or related field. About HERE: Owned by three Germany premium car makers, AUDI AG, BMW Group and Daimler AG, HERE is the leader in the field of High Definition Map (HDMap) making that enable Highly Automated Driving (HAD). Learn More at (https://company.here.com/automotive/) HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Posted on: 2016-08-24 15:27:56 UTC

Postdoctoral Associate

Duke University|Durham NC, USA

A Postdoctoral Associate position is available in an individual with expertise in machine learning and/or computer vision to join a research laboratory of Dr. Mazurowski at Duke University. The full announcement can be found here here: http://deckard.duhs.duke.edu/~mazurowski/positions/postdoc.html

Posted on: 2016-07-12 17:44:53 UTC

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4 PhD positions in computational brain imaging

Director of Bioimage Analysis Center

Senior Computer Vision Engineer (3D Reconstruction)

Graduate research internships

PhD student and postdoc positions in Deep Learning and 3D Computer Vision

PhD student in Deep Learning at KTH, Stockholm, Sweden

Software Engineer (Computer Vision, Machine Learning)

Funded Post-Doctoral Position in Montreal: Deep Learning in Biological / Medical Image Analysis

Research Engineer: Computer Vision research engineer for autonomous driving

PostDoc: Computer Vision for scene understanding in Degraded Conditions for Autonomous Driving

Research Associate in Deep Learning for 3D Face Recognition

Perception Engineer

Multiple openings in Machine Learning at HRL

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Specialist in 3D reconstruction / SLAM

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computer vision internship position in Algomus Inc

Senior Research Scientist / Research Scientist (Deep Learning / Computer Vision / Medical Imaging)

NCS Research & Development (Full time or Internship

Senior Computer Vision & Deep Learning Engineers / Researchers

SLAM Expert at Iris Automation

Computer Vision Expert at Iris Automation

Two PhD studentships in deep learning and computer vision

Postdoctoral position in 3D Deep Learning (Grenoble – France)

Deep Learning Post-doctoral Fellowship

computer vision research/software interns

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Call for postdoctoral researcher at Kyoto University: Neuro-imaging with endoscope microscopy

Post-doctoral Researcher in Computer Vision

PhD Student Position in Computer Vision

Research Intern - Vision and Deep Learning R&D Posted: January 2, 2018

SRI’s Center for Vision Technology

Post Doc - Computer Graphics and Multimedia Systems Group

Nine Postdoctoral or PhD Positions in Machine Vision and Learning

PhD position for PhD Thesis: “3D Scan Registration Using Projected Fiducial Markers” at Siemens Munich, Germany

Summer Intern positions in Deep Learning / Computer Vision / Medical Imaging

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Medical Image Analysis / Machine Learning Intern

3D Scene Completion

Postdoctoral Position in Deep Learning Applied to Optical Imaging

Assistant Professor of Electrical and Computer Engineering

Associate Professor in Computer Science

Postdoctoral position in computer vision and language (Paris, France)

Computer Vision Research Scientist/Engineer/Interns

Postdoctoral Research Associate – Imaging, Signals and Machine Learning

Computer Vision Research Scientist/Engineer/Interns

Lead Data Scientist – Computer Vision/Deep Learning

OnSiteIQ Job

Computer Vision Corporate Research Engineer, ML and Deep Learning

COMPUTER VISION DEVELOPER

COMPUTER VISION SCIENTIST

[Intern 2018] SLAM and Deep Learning

Autonomy Engineer - Perception

Lead Machine Learning / Computer Vision Engineer

PhD positions at Singapore University of Technology and Design

Tenure-track Assistant/Associate Professor

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Research Associate Video Analysis

Computer Vision PhD for Medical Applications

Postdoctoral Associate in Cardiovascular Imaging and Data Sciences

Postdoctoral Fellowship in Computer Vision

Computer Vision and Deep Learning Research Intern

Computer Vision and Deep Learning Research Engineer/Postdoc/Intern

Research Engineer: Computer Vision/Multimodal Systems

Scientist: Video/Multimodal Data Analytics

Scientist: 3D Computer Vision

Postdoc or Research Scientist

Image Recognition Algorithm Research Engineer-Nuctech Beijing/Boston