Job Board

A three-year PhD Position (possible four years with 25% teaching duties) is available at the Department of Computer Science in Gjøvik. The PhD Position is focused on personalized image quality assessment. In recent years image quality assessment has seen a great improvement and most, if not all, image quality metrics are designed for and tested on an imaginary average observer. Very few observers would be consistent with an average observer, and image quality metrics should therefore be designed to be adapted to each individual. The project is expected to introduce an observer-based image quality metric.
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in computer science, imaging, image processing, or equivalent education with a grade of B or better in terms of NTNU’s grading scale. Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.
Other qualifications:
• Good programming knowledge and experience, preferably in MATLAB.
• Prior knowledge or experience in one or more of the following: image quality assessment, human visual system, subjective experiments and/or deep learning.
• Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving.
• Good written and oral English.

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 479 600 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
Appointment to a PhD position requires that you are admitted to the PhD program in Computer Science (https://www.ntnu.edu/studies/phcos) within three months of employment, and that you participate in an organized PhD program during the employment period.

About the application
Please note that applications are only evaluated based on the information available in the job application portal on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
Applicants must attach the following documents in one single PDF file to their application within the closing date:
• A cover letter where the applicant describes his/her personal motivation and relevance with respect to the requirements of the advertisement.
• Curriculum vitae (CV) which includes information about the candidate’s prior education, work experience, academic merits and any scientific publications.
• A draft research proposal (maximum three pages) for the PhD study, where the candidate presents her/his own ideas for the PhD-work and how it can be applied, based on the project description given in this advertisement. This proposal will be neither final nor binding for the project.
• Certified copies of academic diplomas and certificates. Applicants from universities outside Norway are kindly requested to send a diploma supplement, or a similar document, which describes in detail the study program and grading system.
• Transcripts of grades.
• Certificate of English proficiency exam (IELTS or TOEFL)
• Names and contact information of at least two references.
• Up to three relevant publications in international journals and conferences. Joint works will be considered. If it is difficult to identify the individual applicant's contribution to joint works, the applicant must include a brief description of his or her contribution.
If you have any questions about the position, please contact Dr. Seyed Ali Amirshahi (s.ali.amirshahi@ntnu.no). If you have any questions about the recruitment process, please contact Stine Terese Ruen Nymoen, (stine.t.r.nymoen@ntnu.no).

Application deadline: 15.08.2020

PhD position in computer vision and deep learning: Learning discriminative representations to interpret image recognition models.

The PhD will take place at LIS laboratory within the team QARMA in Marseille, France.
The PhD will be supervised in a collaboration with INRIA Rennes.

Please check the link for the detailed subject and send CV, cover letter, and transcript to the contact e-mail before august 16th.

Best Regards

The Faculty of Geosciences and the Environment (FGSE) of the University of Lausanne invites applications for a professorship in geo-environmental data science, to be based in the Institute of Earth Surface Dynamics (IDYST).

We are looking for a scientist at the intersection of data science and geo-environmental science who complements current strengths of the FGSE. As far as data science, we seek someone able to develop methods/algorithms (such as machine learning, geostatistics, geocomputing, geomodelling, etc.) and tailor them to particular large spatial/temporal datasets or big data. As far as geo-environmental science, the person is expected to analyse and predict the dynamics of the earth surface-environmental system (such as hydrology, geomorphology, vegetation distribution, climate, environmental data time series, soils, etc.). The appointed person will teach GIS along with other geo-environmental data science courses.

Appointment will be at the Assistant Professor level (tenure track). However, exceptionally, we will consider outstanding candidates for direct appointment to the Associate Professor level, notably if this corresponds with our equal opportunity objectives.

Starting date: August 1st, 2021 (or to be agreed upon)
Contract length: 2 years renewable twice (6 years). Tenure and promotion to the rank of Associate Professor expected after 5-6 years, leading to further contracts renewable every 6 years.
Activity rate: 100 %
Workplace: Lausanne campus (Géopolis building)

Your Responsibilities
The successful candidate is expected to i) develop a competitive research program within the Institute of Earth Surface Dynamics, ii) teach courses in the Bachelor of Geosciences and Environment, and Masters programs taught by the FGSE, and, iii) supervise masters and doctoral students.

Your Qualifications
Candidates must demonstrate a capacity to undertake quality research, to obtain competitive research funding, and to publish in peer-reviewed international research journals. A demonstrated potential for teaching GIS, best practice programming skills, data science applied to geo-environmental problems, or algorithms is highly desirable. In addition, the candidate has demonstrated potential for supervising master’s and doctoral theses.

A good command of both French and English language is preferable. If French is not the native language, teaching ability in French has to be acquired within two years of the appointment.

What the position offers you
The Faculty of Geosciences and the Environment (FGSE) of the University of Lausanne was created in 2003 and offers state-of-the-art field and laboratory equipment (e.g., XRD, RockEval, Carlo Erba, SEM, mercury and phosphorus analysis, stable isotopes, compound specific-light isotopes, clumped isotopes, XRF, SIMS and NanoSIMS, Luminescence dating, LA-ICPMS, ICP-OES, Electron Microprobe, X-Ray tomography, GPU and CPU-based supercomputing facilities, remote sensing equipment including a drone lab, as well as instrumented field sites), incentives for projects, and excellent working conditions (https://www.unil.ch/srh/home/menuinst/infos-administratives/donnees-sal…). It consists of three research institutes (Earth Sciences, Geography and Sustainability, and Earth Surface Dynamics) and a School that manages teaching and training across these research domains. The FGSE specifically promotes interdisciplinary research and teaching, within and between the social and natural sciences.

Contact for further information
Other useful information is available on the websites of the Faculty (www.unil.ch/gse) and the Institute of Earth Surface Dynamics (www.unil.ch/idyst)

For further information, contact the Chair of the selection committee for this position: Christian Kull, Vice-Dean of the FGSE, and Professor in the Institute of Geography and Sustainability (christian.kull@unil.ch).

Application deadline: September 1st, 2020
(23:59 Swiss time GMT+2)

The PDF application must be shared in several documents not larger than 9.9 MB and can only be submitted through this website:

https://bit.ly/2BBqAfm

and should include:
. a cover letter, addressed to the Dean, explaining the reasons for applying (max. 1 page);
. a full Curriculum Vitae, including previous employment and university training, the date and title of the doctoral thesis, publications, conference presentations / invited lectures, classes taught, and student research supervised;
. a research statement, describing the research the candidate intends to develop (max. 4 pages);
. a teaching statement, describing the candidate’s teaching approach, intentions for teaching and his or her potential contribution to our teaching programs (max. 2 pages);
. PDFs of the five most relevant publications;
. the names and contact information of five referees.

URS(UNIST Research Scientists), Postdoctoral research Position in Computer Vision and Machine Learning

Location: UNIST (Ulsan National University of Science and Technology)
PI: Seungryul Baek (srbaek@unist.ac.kr)

- Main task
○ Research on Computer Vision, Machine Learning
- 3D pose estimation of face/body/hands, 3D reconstruction of single RGB, motion recognition, deep learning, generational hostile network, graph convolution network, data augmentation, active learning, etc.
- Required knowledge
○ Expertise in artificial intelligence, machine learning, computer vision, and software
Required skills
○ Skills for artificial intelligence, machine learning, computer vision, and software
○ Problem solving skills
○ Ability to establish logical thinking, research plans, and report results
○ Ability for laboratory safety
- Attitude
○ Active Collaboration and Attitude to Solve Problems
○ Responsibility and awareness of laboratory safety
○ Understand the school culture and actively adapt to school
- Basic ability
○ Communication ability, mathematical ability, problem solving ability, resource management ability, etc.
- Eligibility
○ Those who have graduated from the doctorate program (those who can graduate from the doctorate program before the first day of work)
○ At least one SCI-level journal article in the last three years (1st or correspondent author) or At least one Top AI conferences paper (CVPR/ECCV/ICCV, NeurIPS/ICML/ICLR, IROS/ICRA, AAAI/IJCAI)

The Robot Interaction Lab at Reykjavik University has an opening for a postdoctoral researcher for a two-year position, in the field of computer vision and robotics. The successful candidate will collaborate on efforts to develop computer vision methods to automatically pick and pack grocery items with minimal manual registration requirement.

The work is done in collaboration with industrial partners in Stavanger (Norway) and Reykjavik, the University of Stavanger, and Eindhoven University of Technology (Netherlands). The job duties for this position are primarily the development and experimental validation of an appropriate computer vision and machine learning methodology.

Qualifications: We are looking for an enthusiastic and motivated individual with good communication skills to join our research team. The candidate should be able to work independently, collaborate with other researchers, and co-supervise students in the area of research, and be willing and able to travel to meet and work with international collaborators. Excellent command of spoken and written English is obligatory.

A Ph.D. degree in Engineering, Computer Science, or related fields, with a good publication record, is required. The research makes extensive use of machine learning techniques. A sound knowledge and understanding of computer vision, machine learning, and robotics is required, as well as proficiency in programming (C++, Python, ROS).

Position summary
Full-time temporary employment.

Application: Interested applicants should submit their application through the recruitment website radningar.hr.is
The application should include:
· A cover letter explaining reason for applying and how you fit the position, based on the description above.
· A personal letter of interest where you introduce yourself and present your qualifications/experience/interests
· Curriculum Vitae (CV)
· Contact information of two references (e.g. academic supervisors, former superiors)
· Attested copies of education certificates, including grade reports
· PhD and Master’s theses
· Research publications
· Links to software repositories with relevant projects, if existent.

Full consideration will be given to applications received before 3 August, 2020. Applications received after this deadline will be considered as long as the post remains open.

Any questions regarding working in Iceland or about Reykjavik University should be sent to mannaudur@ru.is. Questions regarding the research work may be sent to Torfi Thorhallsson at torfith@ru.is or Jón Guðnason at jg@ru.is.

Availability: The position is available from 1 September 2020, although this is negotiable to an extent.

Workplace: Reykjavik University has around 3700 students and 250 faculty and employees in two schools: Technology and Social Sciences. The University is centrally located in Reykjavik, the capital city of Iceland. We offer a welcoming and stimulating environment in which to work and live. The successful applicant will work in our facilities in Reykjavik, take part in experimental validation in Stavanger (Norway), and meetings in Norway and the Netherlands.

REYKJAVÍK UNIVERSITY
The role of Reykjavik University is to create and disseminate knowledge to enhance the competitiveness and quality of life for individuals and society, guided by good ethics, sustainability and responsibility. Education and research at RU are based on strong ties with industry and society. We emphasize interdisciplinary collaboration, international relations and entrepreneurship.

We are seeking two experienced full-time Postdoctoral Research Assistants in Computer Vision to join Professor Victor Adrian Prisacariu's and Professor Philip Torr's research groups at the Department of Engineering Science (central Oxford). This is a fixed-term role until 31 August 2022 with funding provided by industry. Both groups are internationally leading research groups that have numerous scientific awards and have close links with some of the top industrial research labs.

This is a research project that aims to link 3D object reconstruction using SfM and/or depth fusion with 3D deep learning, with a strong focus on accuracy.

You will be required to develop and implement novel computer vision and learning algorithms to reconstruct 3D object geometry whilst also contributing documented software to the group library. You will also write reports on your research, and publish these as papers in leading conferences and journals.

You should possess a doctorate, or be near completion of doctorate, in computer vision, machine learning or a relevant subject, together with a strong publication record at principal computer vision conferences (CVPR, ECCV, ICCV and BMVC), with a background 3D geometry (depth fusion/SLAM/object tracking and reconstruction) and/or deep learning.

Informal enquiries may be addressed to victor@robots.ox.ac.uk or philip.torr@eng.ox.ac.uk

You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

Only applications received before 12.00 midday on the 5 August 2020 can be considered.

Yoti is a global company whose aim is to be the world’s trusted identity system. We have seriously ambitious goals to become the world's most secure and data sensitive company.

This role will be part of our internal R&D Team, who work on a number of exciting projects in the field of computer vision, deep learning and face biometrics. Some of the work the team is doing includes, developing our state-of-the-art age estimation AI model.

Key requirements for this role include:
- PhD (or equivalent) in the areas of computer vision, machine learning or image processing
- Strong knowledge of DNN theory and practical experience of applying DNN in computer vision
- Strong knowledge of deep learning frameworks such as Tensorflow/Theano/PyTorch etc
- Good Python coding skills
- Experience working with Git inside a team
- Ability to write clean and well maintained code
- Attention to detail
- Strong analytical and problem solving skills with the capability of implementing academic papers into functional prototypes

This is a highly innovative team within Adobe working on solving real-world technical challenges and building mobile applications. We are looking for a machine learning engineer/scientist who has
(1) strong expertise at image generation, image processing, and computer vision algorithms;
(2) strong programming skills;
(3) passion to solve real-world problems.

Zhejiang Labs | Hangzhou city, Zhejiang, China
Multiple Postdoctoral researcher positions are available at the Intelligent Robotics Center of the Zhejiang Labs, Hangzhou city, China.

The positions are set aiming at prototyping a multi-sensor robot research platform. The researchers will work in a multidisciplinary research environment closely collaborating and publishing with the other robot sensing and electrical engineers of the center.

Specifically, we are looking for highly motivated individuals who have deep expertise in one or more of the following areas:

-Deep learning for 3D Perception and Sensor Fusion (LiDAR\camera\IMU\Odometer\GPS)
-Localization and Mapping (SLAM)
-Path and Motion Planning, and Decision Making
-Deep Reinforcement Learning

Qualifications:
Successful candidates should have a PhD (or equivalent) in Computer Vision, Artificial Intelligence, Machine Learning, or related field, and should have demonstrated academic excellence, including publications in top-class journals and conferences in computer vision, robotics, and deep learning. Expertise in developing a real-world robot application or platform is a plus. Also, PhD candidates are required below 35 years old.

Application:
Please send application (curriculum vita, research interests, recommendation letter) or questions to the email address below.

Contact information:
Ms Xu,
Phone number: (+86)571-56393361
email:postdoctor@zhejianglab.com

Zhejiang Labs | Hangzhou city, Zhejiang, China
Multiple Postdoctoral researcher positions are available at the Intelligent Robotics Center of the Zhejiang Labs, Hangzhou city, China. The positions are set aiming at prototyping a multi-sensor robot research platform. The researchers will work in a multidisciplinary research environment closely collaborating and publishing with the other robot sensing and electrical engineers of the center. Specifically, we are looking for highly motivated individuals who have deep expertise in one or more of the following areas:

-Deep learning for 3D Perception and Sensor Fusion (LiDAR\camera\IMU\Odometer\GPS)
-Localization and Mapping (SLAM)
-Path and Motion Planning, and Decision Making
-Deep Reinforcement Learning

Qualifications:
Successful candidates should have a PhD (or equivalent) in Computer Vision, Artificial Intelligence, Machine Learning, or related field, and should have demonstrated academic excellence, including publications in top-class journals and conferences in computer vision, robotics, and deep learning. Expertise in developing a real-world robot application or platform is a plus.

Application:
Please send applications (curriculum vita and contact information of two references) or questions to postdoctor@zhejianglab.com

HOVER uses patented technology making it possible for anyone with a smartphone camera to create an interactive 3D model, complete with detailed measurements and powerful design features. The data produced is extremely valuable as it generates a single source of truth for the physical world allowing for more veracity throughout the home improvement and insurance processes. We’ve found an incredibly strong product-market fit across exterior home improvement, insurance, and financial services. What's the secret sauce? Cutting edge technology, an exceptional culture, and a commitment to our values (Think. Do. Serve.).

With our team of investors, including Google Ventures and Menlo Ventures, HOVER is committed to continuing our success and facilitating growth. We believe there is strength in diversity so we hire skilled and passionate people from a wide variety of backgrounds.

Why HOVER Wants You:

Computer Vision is at the core of our technology and our future. We’re looking for engineers with deep technical experience (theoretical and applied) in computer vision to expand the core components of our 3D data platform. You'll join a world class team and will help the team fulfill technical, operational, and business requirements.

You Will Contribute By:

Building architecture and developing computer vision solutions in the areas of 3D reconstruction, object detection, scene understanding, and segmentation.
Driving rapid technical prototyping
Bridging the gap between prototype and production-ready software.
Providing technical leadership and guidance to your team members and the broader organization.
Working directly with our leadership team to hone our technical strategy and priorities, as well as implications to HOVER’s corporate strategy.
This role is very much rooted in developing practical applications that can have immediate value to the business. You'll work alongside our team of designers, frontend, backend, graphics, and devops engineers to bring your creations to life. This means that you must not only be able to stay at the forefront of your discipline, but you must also excel at communication and collaboration.

Your Background Includes:

Degree in Computer Science or a related technical field
Experience in one or more of the following areas: 3D Reconstruction, Object detection and localization, Pose estimation, Multi-view geometry, Linear Algebra, Optimization
Fluency in C/C++ or similar languages
Experience working with OpenCV
Exceptional communication skills, both written and verbal
Ability to handle multiple competing priorities in a fast-moving environment
Nice to haves:

Phd in Computer Science or a related technical field
Experience working with a deep learning framework such as TensorFlow
Benefits:

Compensation - Competitive salary and meaningful equity in a fast-growing company
Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
Paid Time Off - Unlimited and flexible vacation policy
Paid Maternity/Paternity Leave - We support work/life balance and offer generous paid parental and new child bonding leave
Learning - We encourage continued education and will help cover the cost of conferences, workshops, or certifications
Transportation - Pre-tax commuter benefits and free parking

An AI scientist at Wadhwani AI will build research-driven solutions to bring AI to the benefit of the underserved billions across the developing world.

ABOUT US

The Wadhwani Institute for Artificial Intelligence (Wadhwani AI) is the world’s first independent nonprofit research institute developing AI solutions for social good. Our mission is to develop AI solutions to overcome challenges of societal importance in domains such as health, agriculture, financial inclusion, and infrastructure.

Our team consists of world-renowned scientists, innovators, and entrepreneurs from Stanford, Yale, Cornell, and the IITs, with experience at companies like Microsoft, Google, Amazon, and DE Shaw. We have research collaborations with Stanford University, Carnegie Mellon University, New York University, University of Southern California, and the University of Washington.

ROLES AND RESPONSIBILITIES

As an AI scientist, you will be responsible for building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in problem definitions and the development and execution of algorithms and solutions to the problems.

In order to apply machine learning and related technologies for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning research, engineering, product and program management, and designers. You will also work closely with social sector organizations, and are encouraged to collaborate with researchers across the world.

You will be encouraged to drive fundamental advances to the technology domains themselves as part of the efforts towards their application, present your work in technical and other forums of interest, and publish in leading conferences and journals.

At Wadhwani AI, excellence as an individual contributor goes hand-in-hand with good teamwork and collaboration. You will mentor junior researchers, post-docs and interns, and participate in recruiting and hiring activities. You will also be expected to interact with external partners of Wadhwani AI when required, and to make periodic visits to the communities from where challenges are derived and where the solutions will be deployed.

REQUIREMENTS

We are looking for AI scientists with experience applying AI, machine learning and data science to real world problems. Ideal candidates should have a strong research background and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualizing data, creating/using algorithms and running simulations.

Candidates should be comfortable working with cross-functional teams, must have excellent communication skills and a track record of driving projects to completion.

Candidates should care about using their technical skills to solve large societally important problems.

We are excited to announce that we are supporting 1 PhD position at the Faculty of Computer Science at the Free University of Bozen-Bolzano (Italy) starting on November 1, 2020.

If you have a passion for Computer Vision and Machine Learning then apply until July 13 at https://www.unibz.it/en/faculties/computer-science/phd-computer-science

About Covision Lab:
Covision Lab is a Computer Vision and AI focused research and application center founded by seven world-leading technology companies. We cooperate with their R&D teams to translate state-of the-art research into technology by harnessing computer vision, sensor fusion and machine learning. We team up with university researchers to delve into disruptive opportunities. Our aim is to accelerate technology adoption in industrial automation through collaborative competitive advantage in Computer Vision and AI. Check out our website for more information at covisionlab.com

Are you looking for a New Mission?

You want to apply your experience and enthusiasm to the development of innovative solutions?
You want to make a difference at a diverse and exciting job, and accompany your product from conception and development, all the way through to deployment?
Then the Mission Embedded team is right for you. We develop highly reliable embedded systems for professional applications in the fields of transportation, manufacturing, air traffic control, and medical technology.

For our office in Vienna we are currently looking for a
COMPUTER VISION ENGINEER

Your responsibilities with us:
- You design and develop embedded computer vision (2D/3D) systems
- You select appropriate technologies and solution building blocks
- You create and review estimates for development costs
- You enjoy optimizing deep learning models for computer vision applications
- With your expertise, you support both our project managers and customers
- You create and maintain architecture and software documentation

Your skills and qualifications:
- Completed higher technical education in computer engineering, embedded systems, mechatronics / robotics, telematics, or related fields
- Structured work ethic, from conceptualization to successful implementation
- Several years of experience in software development (C, C++, Python, etc.)
- Experience with deep learning in computer vision applications
- Experience with at least one deep learning framework (Tensorflow, PyTorch, etc.)
- Experience with computer vision frameworks (OpenCV, OpenVX, etc.)
- Good knowledge of German and English

We offer you:
- The opportunity to participate in shaping innovations and solutions with your knowledge and skills
- Exciting projects, and a challenging job with great variety
- Teamwork in a highly motivated, multidisciplinary team of experts
- Promotion of your personal and professional development
- Flexible working hours
- An attractive salary and additional benefits

Are you ready for your New Mission? Get in touch with us:

Stefan Mayerhofer
+43 660 8833 901
https://www.mission-embedded.com
career@mission-embedded.com

The minimum salary under the collective agreement is € 42,000. Additional compensation may be offered depending on your qualifications and experience.

We are searching for a Computer Vision Scientist to be part of a dynamic team building the next generation of tools for the development of synthetic data for CV algorithms. The ideal candidate will be a strong software engineer with a deep understanding of ML/DL fundamentals and a passion for understanding, implementing and building upon bleeding-edge algorithms. This role has the potential for enormous growth as we are a well funded young startup looking to establish a new paradigm for computer vision.

ROLE
As a member of the machine learning team, you will play a key role in proving the value of synthetic data to the world. We are applying our technology to a wide range of CV tasks (e.g. detection, tracking, segmentation, pose estimation), and you will help us build out these capabilities.

RESPONSIBILITIES
Train computer vision models across a wide range of tasks (e.g. detection, tracking, segmentation)

Implement new algorithms in PyTorch and integrate into our wider codebase

Perform exploratory data analysis to uncover opportunities to further optimize our synthetic data

Follow the latest deep learning research and participate in team discussion regarding R&D priorities

Write academic papers, client reports and blog posts showcasing our algorithmic capabilities and/or the value of our data

MINIMUM REQUIREMENTS
MS or PhD in Computer Science or related field, or equivalent practical experience

3+ years experience in deep learning and computer vision

Strong software engineering skills (Python, git, linux, etc.)

Experience with at least one deep learning framework (PyTorch, Tensorflow, etc.)

Quick learner who is able to thrive in a fast-paced startup environment

NICE-TO-HAVES
Practical experience with deep reinforcement learning

Programming skills in a compiled language (C++, Java, etc.)

Experience deploying vision models to the edge

WHAT’S IN IT FOR YOU
Competitive Pay

Stock Options

Full Benefits

Unlimited PTO

The chance to work on challenging problems with great people

Several Postdoctoral Fellow positions in advancing brain MRI analysis, including developing deep learning predictors and embedding their findings within a neuroscientific context, are available immediately at the Computational Neuroscience Lab (http://cnslab.stanford.edu), Stanford University. The successful candidate will contribute to research and development in the coherent and robust multi-modal analysis of longitudinal brain MR images collected across multiple sites. The research projects are funded by the NIH, such as the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA; http://www.ncanda.org; 5K MRI sessions). The researcher will work in a multidisciplinary research environment closely collaborating and publishing with imaging, computer, and neuroscientists at Stanford University and SRI International.

Qualifications:
We are seeking highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. Successful candidates should have a PhD (or equivalent) in Computer Science, Neuroscience, or related field. The applicant can either be an expert in machine learning, deep learning, and statistical methods for medical image analysis, or an individual with a strong background in computational or system neuroscience. Expertise in DTI or fMRI is a plus.

Laboratory:
The Computational Neuroscience Lab (http://cnslab.stanford.edu) is federally funded to perform multidisciplinary research focusing on developing deep learning technology to identify biomedical phenotypes specific to substance abuse, sleep, HIV, and adolescent brain. Studies are performed on MR imaging systems on the SRI site and in collaboration with other centers, such as those being part of NCANDA or the Adolescent Brain Cognitive Development (ABCD) Study. The studies are supported by the software platform Scalable Informatics for Biomedical Imaging Studies (SIBIS; https://sibis.sri.com), which is developed by our interdisciplinary team of researchers consisting of clinicians, computer scientists, data scientists, physicists, and psychologists.

Application:
Please send applications (curriculum vita and contact information of three references) or questions to kilian.pohl@stanford.edu.

Kilian M. Pohl
Associate Professor
Department of Psychiatry and Behavioral Sciences
Stanford University

Program Director of Biomedical Computing
Center for Health Sciences
SRI International

http://cnslab.stanford.edu/personal/kilian-pohl

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 led by computer scientist, Dr. Harini Veeraraghavan and MRI medical physicist, Dr. Neelam Tyagi, will also involve working with radiation oncologists and radiologists. This will be a wonderful opportunity for a computational scientist trying to further develop advanced deep learning methods as well as learn how these techniques can be translated and are applied into clinical patient care.

Successful execution on the project is expected to result in high impact technical and clinical publications, as well as implementation of the software prototype 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 July 30, 2020 via e-mail to:
Harini Veeraraghavan, Ph.D.
Assistant attending computer scientist
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave.
New York, NY 10065
e-mail: veerarah at mskcc.org

TITLE: PHD ON DEEP LEARNING IN LIFELONG LEARNING AND GENERATIVE MODELS IN BARCELONA

ORGANISATION AND LOCATION: Computer Vision Center Barcelona, Spain
WEBSITE: http://www.cvc.uab.es/lamp/

DESCRIPTION OF JOB:
We are seeking a PhD to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The position is for 4 years. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on continual learning, domain adaptation, generative models, self-supervised learning, etc. The position is on an industrially sponsored project with 2 postdocs and four PhD students.
PROJECT SUPERVISOR & HOSTING GROUP
Joost van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC.

CANDIDATE ’S PROFILE
The candidate should hold a Masters degree or equivalent. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. Prior knowledge of deep learning (Tensor Flow, Pytorch) is required.

FUNDING CONDITIONS
Living allowance of 19k€/year (gross salary).

CONTACT AND CONTACT EMAIL:
Interested applicants should email their CV (preferably with contact information of 2 references) and transcript of university course grades to Dr. Joost van de Weijer (joost@cvc.uab.es). Also for any other inquiries please contact Joost van de Weijer.

DATES:
Applicants should submit their application before July 11th. The decision will be communicated by the end of July. Positions should start in the new academic year (Sept, Oct) 2020.

THE COMPUTER VISION CENTER
The selected candidate will work in 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. The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.

The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is seeking candidates for a research associate position to join a machine learning project integrating deep learning and CRISPR genome editing. Applicants are expected to have at least a master’s degree in a relevant field and a publication record in deep learning and/or bioinformatics. Background in bioinformatics is preferred but not required. This position is available immediately and offered for one-year term, subject to renewal based on performance and available funds

Applications are invited for two research positions with full scholarship in the Department of Computing, The Hong Kong Polytechnic University, starting as early from September 2020. These research positions (MPhil) are currently available in the area of deep learning for computer vision related problems.

The applicants for PhD positions should have Master's degree in Computer Science or related areas (or completing Master's degree by August 2020) and excellent academic record. The applicants for MPhil positions should have outstanding academic record with Bachelors degree in Computer Science or related area (or completing Bachelors degree by August 2020). The applicants should have excellent programming skills and candidates with experience in computer vision, pattern recognition or biometrics related work may expect preference.

Successful candidate's are expected to work with Prof. Ajay Kumar (http://www.comp.polyu.edu.hk/~csajaykr) in The Hong Kong Polytechnic University from September 2020. The scholarships offered are highly attractive and competitive (~18,200 HK$ or over 2000 US$ per month).

Please send your detailed CV (including aggregate marks, courses undertaken, project undertaken) to Prof. Ajay Kumar, via email at ajay.kumar@polyu.edu.hk. The applicants who do not receive any response within one week of their application should consider their application as unsuccessful.

Company Description
At Aerovect, we leverage advanced automation to transform logistics and cargo handling at some of the busiest airports and logistics centers in the world. With a focus on bringing self-driving technologies to complex industrial environments, AeroVect is shaping the future of industrial automation, backed by top-tier investors.

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!

Job Description
We’re looking for Engineering interns who are eager to bring autonomous driving systems to life from the ground up. Minimum Internship duration is 2 months, with flexible start and end dates.

In this role, you will help grow our ADS software stack in a fast-paced, early-stage startup environment. You will own and lead the design, simulation, and real-world implementation of a specific autonomy module as part of creating a category-defining ground vehicle system aimed at automating cargo movement at airports and logistics hubs.

Specifically, we are looking for individuals who have deep functional expertise in one or more of the following areas:

-Perception and Sensor Fusion
-Localization and Mapping
-Vehicle Control, Planning, and Decision Making

Your job scope will involve selecting and working with both cutting-edge techniques as well as proven, off-the-shelf technologies to support your specific ADS module, and working with other members of the engineering team to integrate into the overal system architecture… all while creating unprecedented value and functionality for the modern supply chain.

The opportunity offers a technical, hands-on team leader the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model.

This role will work closely with our co-founders and the Autonomy Lead.

What You’ll Do

-Define, lead, and own the hands-on creation of your ADS subsystem module, targeting milestones and working with internal/external partners — expect to spend ~75% of your time performing hands-on development, with the remaining 25% integrating with the overall software stack, working with a team of world-class engineers to target aggressive milestones.

-Design, implement, test, and support ADS module functionality through simulations and real-world test runs in context of the airside airport environment, including vehicle corridors and airport apron.

-Work with the engineering team at large to support all aspects of ground vehicle autonomy, including planning, perception, navigation, and infrastructure subsystems

-Collaborate with hardware engineering to create an integrated system, including calibration and integration

-Understand and keep up-to-date with state of the art

Qualifications

Minimum Qualifications

-Strong CS fundamentals (via academic or industry experience)

-Background in developing the autonomy (sensing & decision-making) functions of a deployed, autonomous vehicle

-High-performing engineering experience

-2+ years experience working on software engineering teams

-Comfort with shipping safety-critical software

-Experience shipping a working robotics or vehicle autonomy subsystem

-Candidates with unconventional experiences especially encouraged

-Willingness to get hands-on and have lots of fun

Ideal Qualifications

-Advanced research experience in vehicle autonomy or machine learning

-Background in safety-critical software/system development (preferably a ground robotics functional safety standard such as ISO 26262 or IEC 61508)

-Prior experience developing and supporting all aspects of autonomy for a production ground-vehicle subsystem, or research prototype (end-to-end, full lifecycle development preferred)

-Startup experience

-Experience with ROS, OpenCV

-Experience with Carla, CarSim, or comparable technologies

Additional Information
AeroVect is a technology company that applies the latest advances in autonomous driving systems to create today the airports and logistics centers of the future. We work with airports around the world to bring self-driving tow tractors to life.

Our experienced team of engineers and aerospace industry specialists from Harvard and MIT have collectively spent decades developing cutting-edge autonomy and aerospace technologies. Founded on the principles of safety, efficiency, and reliability, our mission is to create the airport of the future today, making logistics work for millions of people while having lots of fun on the way. Read more on our website at www.aerovect.com .

At Aerovect, we leverage advanced automation to transform logistics and cargo handling at some of the busiest airports and logistics centers in the world. With a focus on bringing self-driving technologies to complex industrial environments, AeroVect is shaping the future of industrial automation, backed by top-tier investors. If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!

We’re looking for an Engineering Leader who knows how to bring autonomous driving systems to life from the ground up. In this role, you'll lead, manage and grow a software team in a fast-paced, early-stage startup environment. In this role, you'll be the engineering lead for a category-defining ground vehicle system aimed at automating cargo movement at airports and logistics hubs.

Your team and job scope will include all aspects of planning, perception, navigation, and infrastructure, and incorporate both cutting-edge techniques as well as proven, off-the-shelf technologies to support all autonomous trucking functions…and create unprecedented value and functionality for the modern supply chain.

The opportunity offers a technical, hands-on team leader the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model.

This role reports directly to our co-founders.

What You’ll Do

-Define, lead, and own the hands-on creation of an ADS stack for the airport, targeting milestones, growing the team, and working with internal/external partners — expect to spend 60-70% of your time performing hands-on development, with the remaining 30-40% managing schedule, removing obstacles, designing/coaching the team to hit aggressive milestones, and building a team of world-class engineers.

-Lead a team of engineers bringing up all components necessary for autonomous driving in the airside airport environment, including vehicle corridors and airport apron.

-Design, implement, test, and support all aspects of ground vehicle autonomy, including planning, perception, navigation, and infrastructure subsystems

-Qualify all subsystems using objective measures

-Collaborate with hardware engineering to create an integrated system, including sensor/compute selection and integration

-Understand and keep up-to-date with state of the art

Qualifications
Minimum Qualifications

-Strong CS fundamentals (via academic or industry experience)

-Background in developing the autonomy (sensing & decision-making) functions of a deployed, autonomous vehicle

-High-performing engineering experience

-2+ years experience leading software engineering teams

-Industrial automation experience shipping safety-critical software

-Experience shipping a working robotics or vehicle autonomy system

-Candidates with unconventional experiences especially encouraged

-Willingness to get hands-on and have lots of fun

Ideal Qualifications

-PhD / advanced research experience in vehicle autonomy or machine learning

-Background in safety-critical software/system development (preferably a ground robotics functional safety standard such as ISO 26262 or IEC 61508)

-Prior experience developing and supporting all aspects of autonomy for a production ground-vehicle system, or research prototype (end-to-end, full lifecycle development preferred)

-Startup experience

-Experience with ROS, OpenCV

Additional Information
AeroVect is a technology company that applies the latest advances in autonomous driving systems to create today the airports and logistics centers of the future. We work with airports around the world to bring self-driving tow tractors to life.

Our experienced team of engineers and aerospace industry specialists from Harvard and MIT have collectively spent decades developing cutting-edge autonomy and aerospace technologies. Founded on the principles of safety, efficiency, and reliability, our mission is to create the airport of the future today, making logistics work for millions of people while having lots of fun on the way. Read more on our website at www.aerovect.com .

The Department of Biomedical Engineering, King's College London, seeks a Research Associate to work with Dr Emma C. Robinson on the development of novel Machine Learning and Image Processing for precision registration of multimodality brain scans.

This 3-year post is funded by a Wellcome Trust Collaborative Award (between KCL, Oxford University and the Donder's Institute Nijmegen) targeting clinical translation of automated tools for multimodal Magnetic Resonance Image (MRI) analysis.

The post is available to be filled as soon as possible, with responsibilities for:

- Exploring discrete optimisation and (deep) learning-based solutions to surface and volume image registration.
- Integrating multimodal imaging sources, including structural, functional and diffusion MRI in order to enhance correspondence across modalities.
- Exploring new techniques for precision modelling of cortical organisation to population modelling of the data.

Applicants will be expected to hold a PhD (or be close to completion) in a relevant numerate/computational domain. A track record in medical image processing and/or machine learning, with strong proficiency in Python, or C/C++ is highly desirable.

This post will be offered on a fixed-term contract for 3 years, or until 31 December 2024

SUMMARY:
Xiaomi’s Technology Planning & Partnerships team is responsible for discovering key strategic technology opportunities for Xiaomi's Smartphone department. More specifically, the team is focused on researching & identifying new camera and computer vision (CV) technologies in order to both differentiate Xiaomi's camera system and to strengthen Xiaomi's brand as a camera innovator. As a key contributor, you will provide expert insight based on your skills and background in 3D/AR/CV technology and produce key technical materials (roadmaps, analysis, prototypes, demos) to support your opinions and direction. In your new role you will be responsible for evaluating and benchmarking new technologies as well as ensuring the final camera feature meets the requirements of a world-class product. Your contributions will be realized through your cooperation with third-party vendors, startups, and researchers and will be highly visible within the company. If you're successful, the results of your cooperation will be launched on Xiaomi's flagship smartphones and experienced by Xiaomi's users at a global scale.

KEY QUALIFICATIONS:
1. 5+ years of relevant mobile computer vision algorithm experience in R&D or Product teams
2. Strong understanding of mobile camera technology including depth sensors
3. Strong understanding of state-of-the-art 3D/AR technology
4. Awareness of global AR/3D/CV ecosystem including suppliers, startups, and conferences
5. Proficiency with relevant software tools and libraries:
a. ARCore, ARKit, OpenCV, Open3D, Matlab, Unity, Python, Android, etc
6. Experience working cross-functionally and building consensus with key stakeholders
7. Strong ability to handle ambiguity and changing requirements

JOB DESCRIPTION:
In this role your core responsibilities will be:
1. Research and identify state-of-the-art 3D/AR/CV algorithms and suppliers
2. Build and maintain relationships with incubators, start-ups and vendors
3. Perform technical evaluations on new algorithms and camera technologies
4. Build a technology roadmap based on expert analysis and present to leaders and executives
5. Define technical specifications, milestones, requirements, key metrics, and create convincing prototypes and concepts
6. Rapidly iterate on design ideas to define short-term and long-term opportunities
7. Domestic & International Travel to technology conferences, R&D sites & Partner locations…etc

RELEVANT SKILLS AND EXPERIENCE:
1. SLAM, 3D reconstruction, depthmap processing, RGBD data processing, semantic segmentation, spatial computing, motion capture, real-time image processing, object recognition, object classification, object tracking, camera calibration, AR, VR, MR, XR

EDUCATION:
BS/MS/PhD in computer science, electrical engineering or similar discipline.

Join AI team in Samsung R&D Institute Brazil and contribute to generate innovative technology for (a) equipping Samsung devices and (b) enabling innovative new services.

Roles and Responsibilities
* Participate on Artificial Intelligence R&D projects, which have the purpose of producing innovative technology for equipping Samsung devices and enabling innovative new services
* Contribute to AI R&D strategy formulation
* Interact continuously with Samsung Headquarters and Samsung Overseas R&D Centers for understanding and aligning AI strategies, and corresponding technology roadmaps and requirements; discussing and negotiating new AI projects; reporting AI project progress; refining/adjusting directions whenever required;
* Contribute to collaboration with top-tier Brazilian R&D groups (open innovation)

Main Requirements:
* Solid Computer Science and/or Electrical Engineering formal education
* Solid knowledge and skills in Machine Learning techniques and fundamentals
* Expertise in Signal Processing, Pattern Recognition, Computer Vision, and Reasoning
* Expertise in classifier and regressor design
* Solid skills in probability, statistics, experiment design and evaluation
* Python, C/C++, R and Java programming skills
* Unix toolset skills
* Proven 5+ years of experience applying Machine Learning/Deep Learning to a meaningful set of R&D projects

Education Degree
* Ph.D in Computer Science or Electrical Engineering obtained from a top-tier university
* M.Sc in Computer Science or Electrical Engineering obtained from a top-tier university with solid professional experience are also welcomed to apply.

Language Requirements
* Written and verbal fluency in Portuguese and English

Skills and Qualifications
* Practical experience in machine learning optimization aiming at reducing complexity of deep neural networks
* Practical experience in executing/deploying machine learning models on mobile devices
* Practical experience in applying machine learning or designing machine learning solutions for sensor data
* Practical experience in applying machine learning or designing machine learning solutions for computer vision problems
* Experience with machine learning approaches that can be updated with user data after deployment (e.g., online learning, reinforcement learning, etc.)
* Software engineering skills, including methodologies, best practices and related tools
* Experience applying machine learning to real-world problems, i.e., dealing with very large amounts of data

Please, apply via LinkedIn:
https://www.linkedin.com/jobs/view/1887418102/