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To post new jobs:

Please submit the job post request through this link, and it will normally show up below within a week. If you have any questions, please contact the web chairs: Tianfan Xue (tianfan@google.com) or Tian Lan (tianlan@amazon.com).


Recruiting postdoctoral research fellow on deep learning for event cameras

The Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey seeks to recruit an outstanding postdoctoral researcher in the fields of Computer Vision and Deep Learning. The post is part for 2.5 years as part of EPSRC funded research project.

The project is focussed on developing a new deep-learning toolkit and techniques, to support state-of-the-art deep-learning with modern asynchronous visual sensors (such as event cameras by prophesee.ai or inivation.com). Unlike initial research in this area, we will attempt to avoid intermediary image representations, instead developing techniques that operate on the raw event stream. This will allow the special properties of the sensor (particularly it's low latency) to be preserved. Applications of this research will range from robotics to autonomous vehicles and more.

Successful applicants will work under the supervision of Dr Simon Hadfield, with full access to the resources provided by Surrey’s Centre for Vision Speech and Signal Processing. CVSSP is the largest UK academic research institute focussed on computer vision & machine learning (around 200 active research staff). This role provides the opportunity to work alongside world leading researchers in computer vision and deep learning, while also being able to interact remotely with a wealth of industrial collaborators.

By the start date of the post, the potential applicant should either hold, or have submitted, a PhD in a field closely related Computer Vision and Machine Learning. A strong background in deep-learning is a must, as are strong programming skills. Prior experience with asynchronous visual sensors, or the Robot Operating System are not required, but are advantageous. Furthermore, the potential applicant should be able to drive their own research direction within the scope of the project, and have an interest in PhD co-supervision opportunities on aligned topics.

More info | Contact: Simon Hadfield | Posted on: 2020-05-18

POSTDOCTORAL RESEARCHER- DEEP LEARNING AUTOMATED DOMINANT INTRA PROSTATIC LESIONS FOR IMAGE GUIDED RADIOTHERAPY

One to two openings are now available for a research appointment in the Department of Medical Physics at the postdoctoral level for individuals interested in medical image analysis research. The two-year research projects will focus on the development of advance deep learning-based analysis of multi-parametric MRI images for automated detection and volumetric segmentation of dominant prostatic lesions for aiding in real-time MR guided radiation therapy on the new MRI guided linear accelerator (MR-LINAC) systems. The project entails development of deep learning algorithms for detecting and classifying domain index lesion, volumetric segmentation, and tracking of whole prostate gland and the dominant lesion for real time guidance. This project involves working with multi-disciplinary scientists including computer scientists, MRI physicists, radiation oncologists, and radiologists.

Successful execution on the project is expected to result in high impact publications, as well as implementation of the software prototypes in to the clinical treatment planning workflow in coordination with our team of developers and physicists. Ideal candidates must have strong programming background (python) with knowledge of machine learning applied to computer vision or medical image analysis. Deep learning knowledge and some image registration/segmentation development experience is highly desirable. Candidates are expected to have excellent written and oral communication skills for writing manuscripts and presenting to multi-disciplinary audiences.

The Department of Medical Physics consists of over forty faculty physicists plus support staff working on various physical problems related to the diagnosis and treatment of cancer.

Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, and is recognized as a world leader in clinical cancer care and research.

Interested candidates should send a resume and list of three references by May 31, 2020 via e-mail, including the project title in the application, to:

Christopher Watchman, Ph.D.
Education Director and Associate Attending Physicist
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave.
New York, NY 10065
e-mail: watchmac@mskcc.org

More info | Contact: Christopher Watchman, Ph.D. | Posted on: 2020-05-18

Computer Vision, Perception Software Engineer

Are you inspired by building new technologies to benefit customers? Do you dream of being at the forefront of robotics and autonomous system technology? Would you enjoy working in a fast paced, highly collaborative, start-up like environment? If you answered yes to any of these then you've got to check out the Amazon Scout team.

We’ve been hard at work developing a new, fully-electric delivery system – Amazon Scout – designed to get packages to customers using autonomous delivery devices. These devices were created by Amazon, are the size of a small cooler, and roll along sidewalks at a walking pace. We developed Amazon Scout at our research and development lab in Seattle, ensuring the devices can safely and efficiently navigate around pets, pedestrians and anything else in their path.

The Amazon Scout team shares a passion for innovation using advanced technologies, a love of solving complex challenges, and a desire to impact customers in a meaningful way. We're looking for individuals who like dealing with ambiguity, solving hard, large scale problems, and working in a startup like environment. To learn more about Amazon Scout, check out our Amazon Day One Blog post here: http://amazon.com/scout

As a Software Development Engineer specializing in Computer Vision and Perception, you have the chance to help develop cutting-edge robotic technology by combining perception, computer vision, and deep learning.

In this job you will:
· Collaborate with top-notch research scientists, software development engineers and hardware engineers to build high-quality production code
· Develop the core software including defining, scoping and launching a highly impactful new service
· Investigate, prototype and deliver innovative system solutions in a start-up like environment
· Work in an Agile/Scrum environment to deliver high quality software

You are a person with a commitment to team work, who enjoys working on complex systems, is customer centric, and thrives on the challenge of prototyping new systems that will eventually operate at Amazon scale.

BASIC QUALIFICATIONS
· Bachelor’s degree (or higher) in Computer Science or a related discipline
· 3+ years of software development experience developing computer vision, perception, and/or deep learning solutions for robots, autonomous cars or similar
· 3+ years of experience developing software with C++ or Python

PREFERRED QUALIFICATIONS
· Strong computer science fundamentals in design, algorithms, and data structures.
· Master’s degree or higher in Computer Science or related field
· Experience building mission critical, highly available systems and operating 24x7 services
· Experience building safety-critical software

Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation/Age.

More info | Contact: Rachel Eddy | Posted on: 2020-05-18

Computer Vision, Perception Scientist

Are you inspired by building new technologies to benefit customers? Do you dream of being at the forefront of robotics and autonomous system technology? Would you enjoy working in a fast paced, highly collaborative, start-up like environment? If you answered yes to any of these then you've got to check out the Amazon Scout team.

We’ve been hard at work developing a new, fully-electric delivery system – Amazon Scout – designed to get packages to customers using autonomous delivery devices. These devices were created by Amazon, are the size of a small cooler, and roll along sidewalks at a walking pace. We developed Amazon Scout at our research and development lab in Seattle, ensuring the devices can safely and efficiently navigate around pets, pedestrians and anything else in their path.

The Amazon Scout team shares a passion for innovation using advanced technologies, a love of solving complex challenges, and a desire to impact customers in a meaningful way. We're looking for individuals who like dealing with ambiguity, solving hard, large scale problems, and working in a startup like environment. To learn more about Amazon Scout, check out our Amazon Day One Blog post here: http://amazon.com/scout
As an Applied Scientist specializing in Computer Vision, you will combine cutting-edge Deep Learning techniques with classical Computer Vision to create intelligent systems.

In this job you will:

· Collaborate closely with Robotics scientists and Hardware teams to develop perception systems for Robots.
· Take responsibility for technical problem solving, including creatively meeting product objectives and developing best practices.
· Interact with teammates in variety of roles to accomplish your goals.
· Identify and initiate investigations of new technologies, prototype and test solutions for product features, and design and validate designs that deliver an exceptional user experience.
· Recruit, hire and develop other Applied Scientists.

You are a person with a commitment to team work, who enjoys working on complex systems, is customer centric, and thrives on the challenge of prototyping new systems that will eventually operate at world-wide scale.

BASIC QUALIFICATIONS
· Ph.D in CS Computer Vision, Machine Learning, Statistics, or in a highly quantitative field
· A thorough understanding of both best practices for practical systems and the state-of-the-art in academic research
· Experience developing software in C++ or Python.

PREFERRED QUALIFICATIONS
· 3+ years of industry experience in robotics
· 3+ years of relevant research experience in computer vision and machine learning.
· Experience as a technical lead on a small team.
· Experience with production computer vision and machine learning systems

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

More info | Contact: Rachel Eddy | Posted on: 2020-05-18

Research Fellow/Assistant Professor (tenure track + welcome package)

The Wallenberg AI, Autonomous Systems and Software Program (WASP) is
Sweden’s largest individual research program ever; a major national
initiative for strategically motivated basic research, education and
faculty recruitment (see https://wasp-sweden.org). WASP comprises five
Swedish full partner universities and a substantial part of Swedish
industry and commerce. The WASP initiative includes among many
instruments an international recruitment program and the present
announcement aims to strengthen Linköping University specifically in
the field of machine learning within the AI focus-area of WASP. The
goal is to complement the existing excellence in, among others, the
area of Computer Vision (Michael Felsberg).

For this purpose, we seek competence in Machine Learning with focus
particularly on methods, algorithms, and mathematical analysis relevant
to Computer Vision. The developed methods and mathematical tools will
aim at a better understanding of the theories and processes within
statistical and deep learning-based systems.

Possible research topics should match one or more of WASP focus
areas 1) Representation learning and grounding, 2) Sequential decision-
making and reinforcement learning, 3) Learning from small data sets,
GANs and incremental learning, and 4) Multi-task and transfer learning.
Examples for such topics are, but are not limited to, handling of
uncertain input data, propagation of confidences, detection of
anomalies, few-shot and model-agnostic learning, robustness to polluted
training data, enforcement of hard constraints, explainability of
complex networks, and explorative data acquisition. The research fellow
will also explore application areas of this research, e.g., within
forestry, agriculture technology, and synthetic environments for
training autonomous driving.

A successful candidate addressing the area above will be affiliated
with the Computer Vision Laboratory (CVL) at the Department of
Electrical Engineering. Unlike other international universities, thanks
to the teachers' exemption (Lärarundantaget - i.e. the exemption from
employers’ rights to their employees’ patentable inventions),
researchers/academic staff at Swedish universities and colleges of
higher education are given the rights to their own research results.
LiU has support for researchers as inventors, with a unit at the
University that helps the teacher to patent ideas, even fund the
patent application, while the patent is still owned by the researcher.
LiU offers an excellent research environment for you, while you may
choose living in urban or rural environments with commuting distance of
15 min.

Apply before June 23!

More info | Contact: Michael Felsberg | Posted on: 2020-05-11

Postdoc in Computer Vision and Machine Learning

I am looking for a highly motivated postdoc to join my research group at Chalmers. It is a fixed term position (two years) with lots of freedom to pursue basic research in computer vision and machine learning!

More info | Contact: Fredrik Kahl | Posted on: 2020-05-11

Research Engineer - Computer Vision

ABOUT US
Moqi was founded under the belief that true AI innovations come from breakthroughs of the very fundamental level. Our mission is to uncover the fundamental principles of intelligence. We believe that AI devised in this way will ultimately soar past un-enhanced human thinking. The purpose of this endeavor is not to displace us but to amplify our cognitive abilities and ultimately expand the reach of what is already a human-machine civilization.
This is surely a long-term goal, but our world-class researchers and engineers are making exciting progress.
By implementing our research in the application of fingerprint recognition, we were able to create the world's first fully automated large-scale fingerprint identification system, matching complex low-quality fingerprints against billion-scale fingerprint database in real time. We are excited that the system has helped the police solve thousands of crimes that were unsolved in the past, making our society safer.

Responsibilities

* Participate in research of next-generation large scale image searching technologies and machine learning solutions.
* Develop solutions for real-world and billion scale applications

Qualifications

Minimum qualifications

* MS degree in Mathematics, Computer Science or related technical field or equivalent practical experience.
* Experience with one or more general purpose programming languages including but not limited to: C/C++ Python, or Go.
* Knowledge with Calculus, Linear Algebra, Probability.
* Knowledge in Algorithms and Data Structures.
* Experience in Machine Learning.
* Experience in Computer Vision applications.
* Contribution to research communities and/or efforts, including publishing papers at conferences such as CVPR, ICCV, NIPS, ICML,KDD, etc.
* Fluent English.

Preferred qualifications

* PhD in Mathematics, Computer Science, Engineering or other related technical field.
* Strong Computer System experience.
* Large Data Analysis and visualization experience.
* Strong publication record.
* Exposure in Deep Learning, and neural networks for computer vision tasks.
* Proven record of developing truly original research or solutions.
* Experience with stereo vision, structured light or photometrics.
* Strong knowledge in Numerical Algorithms.
* Strong knowledge in Computational Geometry and Computer Graphics.
* GPU programming experience.
* Excellent problem-solving and analytical skills.

You can learn more from : https://fingerid.ai/

More info | Contact: Sarah Qi | Posted on: 2020-05-11

Software Engineer - Machine Learning and Algorithms

ABOUT US
Moqi was founded under the belief that true AI innovations come from breakthroughs of the very fundamental level. Our mission is to uncover the fundamental principles of intelligence. We believe that AI devised in this way will ultimately soar past un-enhanced human thinking. The purpose of this endeavor is not to displace us but to amplify our cognitive abilities and ultimately expand the reach of what is already a human-machine civilization.

This is surely a long-term goal, but our world-class researchers and engineers are making exciting progress.

By implementing our research in the application of fingerprint recognition, we were able to create the world's first fully automated large-scale fingerprint identification system, matching complex low-quality fingerprints against billion-scale fingerprint database in real time. We are excited that the system has helped the police solve thousands of crimes that were unsolved in the past, making our society safer.

Responsibilities

* Participate in research of next-generation large scale image searching technologies and machine learning solutions.
* Develop solutions for real-world and billion scale applications

Qualifications

Minimum qualifications

* MS degree in Computer Science or related technical field or equivalent practical experience.
* Experience with one or more general purpose programming languages including but not limited to: Python, C/C++, or Go.
* Experience in Machine Learning.
* Knowledge in Algorithms and Data Structures.
* Contribution to research and open source community.
* Excellent analytical and problem solving skills.
* Fluent English.

Preferred qualifications

* PhD in Computer Science, Engineering or other related technical field.
* Experience with deep learning, familiar with TensorFlow/Pytorch/MXNet, etc.
* Strong publication record on machine learning, data mining, etc.
* Proven record of developing truly original research or solutions.
* Experience in Computer Vision, NLP applications.
* Large data analysis and visualization experience.

More info | Contact: Sarah Qi | Posted on: 2020-05-11

2 PhD students position with full scholarship

Position description: The research project will focus on developing machine learning/deep learning methods for fundamental computer vision problems including object motion tracking, segmentation, 3D reconstruction, classification and image captioning in 2D/3D images including RGBD images, remote sensing data, 3D CT/MRI medical images and biomedical text. The successful applicant will contribute to research and development of efficient and low cost machine learning/deep learning tools with potential application on autonomous driving cars, large scale 3D scene reconstruction, mapping and localization, video surveillance, human computer interaction, virtual reality, augmented reality, computer-assisted surgery and computer aided disease diagnosis. The group’s works appeared in top journals and conferences including CVPR, ECCV, MICCAI, TPAMI. For a complete list of her works and more information about her research, please visit: https://www.yingyingzhu.net
Qualifications: Successful applicants will have a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics and other related fields, and strong motivation to do cutting edge research in computer vision and machine learning. Additionally, strong quantitative skills and a strong programming background (Python,C++) are desired. Previous research experiences in related fields and scientific publications in journals/conferences are appreciated but not required.

About the department:
UT Arlington Computer Science has top research ranking based on the past ten-year publications at:
Artificial Intelligence (ranks #30 in USA)
Computer Vision (ranks #34 in USA)
Machine Learning & Data Mining (ranks #59 in USA)
Computer Engineering #80, Computer Science #91 [U.S. News & World Report 2019]

Strong enrollment growth in CSE: Currently 1,363 Bachelor’s, 747 Master's, 132 Ph.D.

R1 university [Carnegie Classification of Institutions of Higher Education]

The application materials will be reviewed immediately once received. The expected starting time is Fall 2020 or Spring 2021. Interested candidates should send a cover letter describing your research interests, CV (including undergraduate GPA and ranking, transcripts if applicable), and contact information of three references to Dr. Yingying Zhu: zhuyingying2@gmail.com.
Check here for detailed admission requirements (e.g., GRE and TOEFL scores)
https://catalog.uta.edu/academicregulations/admissions/graduate/

More info | Contact: yingying zhu | Posted on: 2020-05-11

2 PhD students position with full scholarship

Position description: The research project will focus on developing machine learning/deep learning methods for fundamental computer vision problems including object motion tracking, segmentation, 3D reconstruction, classification and image captioning in 2D/3D images including RGBD images, remote sensing data, 3D CT/MRI medical images and biomedical text. The successful applicant will contribute to research and development of efficient and low cost machine learning/deep learning tools with potential application on autonomous driving cars, large scale 3D scene reconstruction, mapping and localization, video surveillance, human computer interaction, virtual reality, augmented reality, computer-assisted surgery and computer aided disease diagnosis. The group’s works appeared in top journals and conferences including CVPR, ECCV, MICCAI, TPAMI. For a complete list of her works and more information about her research, please visit: https://www.yingyingzhu.net
Qualifications: Successful applicants will have a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics and other related fields, and strong motivation to do cutting edge research in computer vision and machine learning. Additionally, strong quantitative skills and a strong programming background (Python,C++) are desired. Previous research experiences in related fields and scientific publications in journals/conferences are appreciated but not required.

About the department:
UT Arlington Computer Science has top research ranking based on the past ten-year publications at:
Artificial Intelligence (ranks #30 in USA)
Computer Vision (ranks #34 in USA)
Machine Learning & Data Mining (ranks #59 in USA)
Computer Engineering #80, Computer Science #91 [U.S. News & World Report 2019]

Strong enrollment growth in CSE: Currently 1,363 Bachelor’s, 747 Master's, 132 Ph.D.

R1 university [Carnegie Classification of Institutions of Higher Education]

The application materials will be reviewed immediately once received. The expected starting time is Fall 2020 or Spring 2021. Interested candidates should send a cover letter describing your research interests, CV (including undergraduate GPA and ranking, transcripts if applicable), and contact information of three references to Dr. Yingying Zhu: zhuyingying2@gmail.com.
Check here for detailed admission requirements (e.g., GRE and TOEFL scores)
https://catalog.uta.edu/academicregulations/admissions/graduate/

More info | Contact: zhuyingying | Posted on: 2020-05-11

Research Engineer in Human Action Recognition

The Institute of High-Performance Computing (IHPC) of the Agency for Science, Technology and Research (A*STAR) Singapore has a Research Engineer opening in the areas of Human Action Anticipation and Action Forecasting. This position is for 24-months with potential extension. The candidate should be able to develop Computer Vision and Machine learning algorithms for human action recognition and action anticipation. This position is research focused and the candidate must have a bachelor or master’s degree in computer science, Electrical & Electronics Engineering, or related disciplines. Fluency in Python and Pytorch or Tensoflow is required. Knowledge of Machine Learning, Deep Learning, Deep Generative models, Motion estimation, and Computer Vision is essential. Candidates who are looking forward to starting PhD are given great exposure and training, with possibly having many scholarship opportunities provided by A*STAR Singapore. Candidates who are Singaporeans and residents are given priority, but we also accept international candidates. The project is funded by AI Singapore and focuses on both theory and applications.

Candidates with prior publications in CVPR, ECCV, ICCV, ICLR, AAAI, BMVC, ACCV, TPAMI, IJCV and TIP etc. are preferred. You will join a diverse team consisting of many scientists and Engineers having expertise in Computer Vision, Machine Learning and NLP. You will be primarily working with Dr. Basura Fernando (https://basurafernando.github.io/ ). If interested, please send your CV.

More info | Contact: Basura Fernando | Posted on: 2020-05-11

(Sr) Computer Vision Engineer

The Company

We are a fast-paced startup building the next generation surgical robot platform. We’re a diverse team dedicated to creating non-invasive solutions that provide clinical value for both patients and doctors. Working here means joining an experienced startup team that is excited and passionate about creating world class products. Founded by a serial entrepreneur with 2 successful exits, the team includes former engineers from top medical robotics companies. We are a well-funded startup and expect talented, motivated, ambitious and interesting co-workers.

Role and Responsibilities

* Work with marketing and users to define and iterate requirements
* Research, prototype, iterate algorithmic solutions to computer vision problems for surgical planning and navigation
* Contribute high quality code to create a medical product that is safe and effective
* Support testing and documentation

Job / Skill Requirements

* MS/PhD degree in Computer Science, Electrical Engineering or other related programs
* Solid foundation on mathematics and analytical skills
* Solid training and hands-on experience in geometric computer vision including camera calibration, stereo reconstruction, pose estimation, structure from motion, SLAM
* Working knowledge and hands-on experience with Machine learning and Deep learning
* Strong development skills using C++, C# and/or Python (and the desire to learn new techniques and tools)
* Object Oriented Programming understanding and experience
* Experience with volumetric medical image segmentation, registration or reconstruction is preferred
* Experience or knowledge with estimation, navigation and sensor fusion is a plus
* Familiarity with tools such as OpenCV, ITK, DL frameworks
Industry experience is preferred but not required

More info | Contact: roboticsredwood@gmail.com | Posted on: 2020-05-11

Computer Vision Intern (CVPR 2020)

As an intern of a computer vision team at Apple, you will use your deep understanding of computer vision, machine learning, and artificial intelligence to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products. You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives.

https://bit.ly/apple-cvpr2020-intern

More info | Contact: Megan Harvey | Posted on: 2020-05-11

Computer Vision Scientist / Engineer (CVPR 2020)

As a member of a computer vision team at Apple, you will use your deep understanding of computer vision, machine learning, and artificial intelligence to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products. You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and attending conferences.

https://bit.ly/apple-cvpr2020

More info | Contact: Jane Luer | Posted on: 2020-05-11

Post-doc in Deep Learning and Computer Vision in Spanish startup

AQUACORP is a Spanish Deep Tech startup looking for a post-doc researcher to lead a small team focused on developing Deep Learning and Computer Vision-based solutions to analyse water quality. The post-doc will work closely with experienced academic researchers from the University of Leon, which will provide the opportunity of publishing papers in relevant journals and conferences.

We are looking for candidates with a strong academic record and a PhD degree in computer science with expertise in machine learning and computer vision. Good programming skills in Python and experience with deep learning frameworks as well as publications in top conferences or journals are a must. The candidate has to be highly motivated, task-oriented and very good teamwork skills are required.

AQUACORP mission is leading the surface water quality remote monitorization, through water images and computer vision. Our main goal is “to help water pollution managers by bringing to the market one scalable, affordable and cost-effective technology to monitor every single effluent, make an adequate water quality management and take care of watery ecosystems´ sustainability”.

AQUACORP is formed by a team of entrepreneurial talent comprised of software and hardware developers and scientific and biology watery ecosystems & wastewater treatment specialist. Our ambition is to become a leading technology enabler on the water quality analysis space by developing an innovative Deep Tech platform, a Water-quality Early Alert System (WEAS), and to disrupt the surface water quality remote analysis and the environment monitoring industry.

OUR GAME-CHANGING SOLUTION: A Water-quality Early Alert System(WEAS) based on water image analysis to remotely and real-time evaluate water pollution levels.

We offer:
* Work in a global challenge, a 10 years project.
* Work from home / remotely whenever you need to, or want to.
* Competitive salary and equity.
* Fun, energetic work environment, and daily perks - snacks, drinks, catered lunch twice a week
* Opportunity to work with a product-focused on making the world sustainable
* Opportunity for creativity, entrepreneurship and ultimate career happiness.
* Collaborating with people passionate about work, cultivating dedication, motivation, and discipline.
* Strong interpersonal skills and work ethic.
·
And much more!

More info | Contact: Enrique Alegre | Posted on: 2020-05-11

PhD student in Deep Learning applied to Fake News detection

The Group for Vision and Intelligent Systems (GVIS: http://gvis.unileon.es) at the University of León is looking for PhD candidates interested in a fully funded position to do her/his PhD thesis in Deep Learning applied to Fake News detection, which will include Computer Vision or Natural Language Processing. GVIS group collaborate with INCIBE (Spanish National Cybersecurity Institute, https://www.incibe.es/en) in developing tools to fight against cybercrime. INCIBE is the leading cybersecurity institute in Spain and this research position will be focused on providing new solutions to detect fake news in social media and the Internet. New algorithms developed will be integrated into INCIBE tools.

We are looking for candidates with a strong academic record and an M.Sc. degree in computer science or very close fields, preferably with expertise in machine learning, computer vision or natural language processing. Good programming skills in Python and experience with deep learning frameworks as well as publications in top conferences or journals are a bonus.

We offer a competitive salary and to work in a flexible and international research environment with close interaction with industry, what will provide the possibility of both filing patents and publishing papers in relevant journals when obtaining your PhD.

More info | Contact: Enrique Alegre | Posted on: 2020-05-11

PhD position in Computer Vision

The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is having openings for PhD positions in computer vision and image processing. Topics of interest include fundamental topics in AI like multi-task learning, complex and hypercomplex neural networks, self-supervised learning, and their applications in diverse areas like healthcare, multimedia processing, and remote sensing. A master's degree in computer vision, image processing, or a related field is required. Successful candidates are expected to have published in leading computer vision conferences and/or journals.

More info | Contact: Hasan AlMarzouqi | Posted on: 2020-05-11

Deep Learning and SLAM Research Intern

SLAMcore is a London-based startup founded by visual SLAM algorithm pioneers and specialists. With generous funding from top venture companies, we are developing breakthrough Spatial AI solutions for next generation robots and other smart devices by harnessing computer vision, sensor fusion and machine learning. Our aim is to greatly reduce the time and cost for companies to deploy advanced robotic solutions whilst delivering performance they could never achieve on their own.

We are looking for an intern to work on the next generation of Spatial AI systems that combine deep learning and SLAM to overcome some of the limitations of more standard approaches. You will be exploring new deep learning methods to learn how to fuse depth and semantics into volumetric data structures that will be used for robot planning and navigation. There will be opportunities to publish your research into relevant scientific conferences and potentially fill a patent.

The length of the internship will be 4 months and the work will be carried out in our offices in central London with flexibility to work some days from home. The ideal starting date will be July 2020.

Please check more information in the link below:
https://careers.slamcore.com/jobs/874411-deep-learning-and-slam-researc…

More info | Contact: Pablo F. Alcantarilla | Posted on: 2020-04-29

COMPUTER VISION RESEARCH SCIENTIST AND RESEARCH ENGINEER

SmartMore is a fast-growing AI company founded by a world-class research and development team, and is also backed by top-tier international institutional investors. With its blood in deep learning and computer vision, SmartMore sets its overarching mission as empowering enterprises and individuals with smart, affordable and ever-evolving AI technologies and services from day one. We cannot be more excited about this fascinating and transformative journey.

www.smartmore.com

Responsibilities

- Analyze and improve performance of advanced algorithms and research in Computer Vision Pattern Recognition, Image Processing, and Computational Imaging, both with traditional algorithms and Deep Learning approaches

- Implement the cutting-edge algorithms and evaluate them with real-life data and challenges

- Develop solutions that can be applied in Intelligent Manufacturing and Ultra HD Video Apps

Qualifications

- Currently has or is in the process of obtaining Ph.D./Master degree in Computer Science, Information Automation, Electrical Engineering, Applied Mathematics and other related majors

- Relevant work in Computer Vision & Machine Learning companies or as a researcher in a lab. Extensive and deep research experience in, and familiarity with, the literature and the state-of-the-art research/practice in related areas

- Papers published in top-tier conferences or journals (CVPR, ICCV, ECCV, NIPS, ICML, AAAI, TPAMI, IJCV, etc.)

- Rich experience on ACM or other coding competitions, or has open source code on GitHub which has a good impact.

If you are the person with passion, creativity and commitment, come and join us!

To apply, please email your CV to recruit@smartmore.com

More info www.smartmore.com

More info | Contact: Lancy Zhang | Posted on: 2020-04-29

Research Scientist, Computer Vision

Who we are:

We are Dataminr. We are a mission-driven company committed to the power of AI, public data, and real-time information as a force for good in the world. Over the last decade, our team has established and refined the leading AI platform for real-time event and risk detection. We surface the earliest signals of unfolding events and emerging risks within an increasingly diverse and complex landscape of publicly available information, enabling more effective risk mitigation strategies, faster response, and better crisis management. Dataminr serves thousands of professionals in 70+ countries by delivering timely, relevant, and actionable alerts to public and private sector organizations around the world.

We’ve grown to over 500 talented employees across seven global offices and raised $392 million in funding in our most recent investment round. Our culture promotes cross-team interaction, work-life balance and the sharing of information and ideas because it enables us to do our best work together, make a meaningful contribution, and have fun. Join us and help the world manage risk in real time.

Who you are:

You’re a research scientist who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator.

Responsibilities:

- Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: image and video classification, object recognition, event detection, forensics, caption generation, etc.
- Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
- Contribute to the research community via publications in top tier venues, participation in program committees, etc.
- Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
- Senior candidates are expected to lead technical areas and/or people.

Minimum qualifications:

- Ph.D. in Computer Science or related fields.
- Experience in one or several of the following topics above, with an emphasis on real time and scalability.
- Outstanding publication record (CVPR, ICCV, NIPS, ICML, etc.).
- Experience in Java, Scala, Python, or similar languages.
- Demonstrated ability to work independently, set up experiments and demonstrate progress through principled used of metrics.
- Familiarity with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc)
Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).

Why you should work here:

We recognize and reward hard work with:

- competitive compensation package including company equity.
- paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance.
- 401(k) savings plan with company matching.
- flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses.

We want you to be your best, authentic self by supporting you with:

- a diverse, driven, and passionate team of coworkers who want you to succeed.
- opportunities to own and drive important critical projects.
- individual Learning and Development fund and professional training.
- generous leave and flexible hours.
- daily catered lunch and a fully stocked kitchen.
- And more!

Note: For this role, only candidates with Ph.D.s in the areas above will be considered. If you do not meet that requirement please consider either the Data Scientist or other positions.

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

More info | Contact: Boris Manakhimov | Posted on: 2020-04-29

Postdoctoral Researcher in Medical Image Analysis

We are looking for postdoctoral researcher in the areas of medical image analysis and translational cancer research to join a newly established research lab (https://sites.google.com/view/wuanderson/home). The research themes are center on 1) develop innovative quantitative imaging biomarkers to characterize cancer phenotypes; 2) integrate image with multi-omics data across multiple scales to decipher cancer mechanisms; 3) validate and translate imaging biomarkers to guide clinical practice.

We are looking for candidates who are enthusiastic in cancer research, self-motivated, and determined to improving cancer patient treatment. Candidates from a diverse background are encouraged to apply. This position requires skills of advanced image analysis, e.g., image segmentation, image registration, and image-based feature extraction. Top applicants are required to have training in machine learning/deep learning, and proficiency in Python and MATLAB. The candidates must be fluent in written/spoken English and good at presenting research accomplishments.

We will offer meaningful projects at the forefront of cancer research, where the successful candidates will work in a highly collaborative and diverse, multidisciplinary team. They will have the opportunity to closely interact with world-class radiologists, medical physicists, oncologists, biostatisticians, and scientists. We are dedicated to maintaining a pleasant working environment, mentoring young trainees, and ensuring your career success.

Candidates should submit the following materials electronically to Dr. Jia Wu. Please email JWu11@mdanderson.org the following:
1. A current curriculum vitae.
2. Two publications.
3. The name and contact information for two references who are familiar with your work.

Review of applications will begin immediately and continue until the position is filled. This is an initially 1-year position that is extendable to 3 years, conditional on performance. The salary will be set according to the NIH postdoctoral stipend guidelines.

More info | Contact: Jia Wu | Posted on: 2020-04-29

Research Scientist/Engineer/Intern

Malong Technologies (码隆科技) is an award-winning AI company focusing on computer vision research on product recognition and related technologies, with applications to retail industry for improving efficiency. Founded in 2014, and now with some of the world’s leading retailers as its customers, Malong is at the forefront of the frictionless shopping revolution by merging the science and real-world applications together, both physically in-store and virtually online. VC-backed by Softbank China, Accenture and other leading investors, Malong is fast-growing, well-funded, with 150+ employees hailing from top R&D orgs such as Microsoft Research, Oxford VGG, Tsinghua University, Chinese Academy of Sciences, etc., and in collaboration with the research community, including Microsoft Research Asia, Google Research, and top university labs. The company is actively hiring research scientists, research engineers and interns, strongly supporting researchers to publish papers in top CV conferences and journals, and looking to make a big impact to both the scientific community and industry. More information about Malong research:https://www.malong.com/en/research.html

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Requirements:
• Track record in academia and/or industry that demonstrates deep learning and computer vision expertise.
• Experience optimizing and benchmarking algorithms.
• Rigorous evaluation:
• Experience working with large-scale data sets on image classification, object detection, video object tracking, model compression, edge computing-related applications or video-related tasks.
• Excellent candidates have publications in top conferences/journals (e.g., CVPR, ICCV, ECCV, NIPS, etc. / TPAMI and IJCV.), notable open source contributions, and/or high ranks in national/international competitions.
• Proficient using Python and/or C++.

More info | Contact: Ailian Luo | Posted on: 2020-04-22

AC3E Postdoctoral Positions 2020

The Advanced Center for Electrical and Electronic Engineering (AC3E) is offering postdoctoral fellowships, in any of the following lines of research of the Center: Control and Automation, Renewable Energy and Power Conversion, Robotics, Electrical Systems, Data Analytics and Computational Intelligence, and Biomedical Systems.

The AC3E is part of Universidad Técnica Federico Santa María (USM), one of the most prestigious universities in Chile and Latin America, being ranked #1 in Latin America in Electronic & Electrical Engineering and in Automation & Control, according to the ARWU Shanghai Ranking by Subject 2019. Created in 2014, AC3E groups individual research efforts into multi- and inter-disciplinary teams and focus research towards industry related problems to spark innovation.

Required Documents
1. Cover letter stating your motivation to join AC3E.

2. Curriculum Vitae, including a list of publications.

3. Documentation providing evidence of the possession of a PhD.

4. Contact details of at least two referees (recent supervisor is encouraged), that may be contacted for a reference letter.

Important Information
· The postdoctoral fellowships are initially for two years (evaluated on a yearly basis).

· Required documents should be provided in English in a single PDF file.

· AC3E is located at UTFSM main campus in Valparaiso, Chile.

· Selected candidates are expected to join AC3E no later than December 2020.

· AC3E is committed to gender diversity and inclusion.

· English proficiency accreditation is welcomed.

· Deadline for application submissions is May 31, 2020, but call will remain open until fulfilling positions.

· Applications should be sent to ac3e@usm.cl with subject POSTDOC POSITIONS 2020-1

· Additional information can be found at www.ac3e.usm.cl and at www.usm.cl

· Further enquiries can be addressed to ac3e@usm.cl

More info | Contact: Jose Delpiano | Posted on: 2020-04-22

Scientist/Senior Researcher/Researcher/Research Intern

Our main business is in the design, development, and sales of LCD main boards, Intelligent Interactive Panel, Medical devices and related Intelligent hardware. CVTE Research is the fundamental and applied research department of CVTE, aiming at supporting the company’s technology novelty and development.******* At CVTE Research, the algorithm is usually combined with the scene, and achievements can often be used in the actual product to directly see the industrial value brought by your results, e.g. Face Recognition, Action Recognition, Computational Photography, Multiple View Geometry, Tomography used in our core products. We offer adequate learning growth opportunities and high-end living welfare.

More info | Contact: Yubing Zhang | Posted on: 2020-04-22

Computer Scientist - Scene Understanding and Navigation

SRI International creates world-changing solutions to make people safer, healthier, and more productive. SRI’s Center for Vision Technologies (CVT) at Princeton, NJ offers end-to-end vision solutions that translate into real-world applications. Our center is a leader in computer vision solutions for defense, security, robotics, and the training marketplace. Our scientists pioneered real-time, real-world computer vision with the early development of pyramid/wavelet processing that enabled analysis with unprecedented speed and precision. They continue today with a broad array of advances in visual navigation, 3D scene modeling, and object and activity recognition.

The Vision & Robotics Lab in CVT is currently searching for a Computer Scientist to work on projects that aim to create next generation scene understanding and navigation technologies, with applications to autonomous robots and augmented reality. You will also help develop algorithms, software and applications in areas such as Multi-Modal Target Detection or Classification, Visual Localization, and Geo-Search and Registration.

Additional Responsibilities of the position include:
• Ability to provide innovative algorithms with high-quality implementation skills.
• Work effectively in a team to achieve the goals of projects and deliver software and systems to external clients.

Qualifications:
• PhD or Masters in Computer Science, Electrical Engineering, or related fields.
• Experience with implementing Deep Learning algorithms for computer vision or robotics applications is required.
• Experience in at least one of the following areas: Multi-Modal Fusion, Deep Reinforcement Learning, Lifelong Learning, Object Detection and Classification, Semantic Segmentation, Depth Estimation, 3D Mapping and Modeling, and Motion Estimation.
• Experience with real-time systems is considered a plus.

Please email your resume to han-pang.chiu@sri.com if you are interested.

More info | Contact: Han-Pang Chiu | Posted on: 2020-04-22