Job Board

Post-doctoral researcher in School of Informatics at the University of Edinburgh

Dr. Hakan Bilen is seeking creative and motivated postdoc candidates to work in Visual Computing Group in the topic of multi-task learning in computer vision. PhD in Computer Vision, Machine Learning, or closely related area and strong publication record at top computer vision and/or machine learning conferences (CVPR, ICCV, ECCV, NIPS, ICML, ICLR) and journals (PAMI, IJCV) are essential.

Please e-mail hbilen@ed.ac.uk your CV with the full publication list with the title [Prospective Postdoc] before Jan 24th 2020. The start date is flexible, the position is available from March 1st 2020 for a year with the possibility of extension.

More info | Contact: Dr. Hakan Bilen | Posted on: 2020-01-20

Research Intern Positions om medical imaging, deep learning and clinical informatics

PAII Inc. or Ping An Technology US Research Labs (located at North Bethesda, Maryland, USA) is one of the core research arms by Ping An Technology and Ping An Insurance Group, ranked 29# in the 2019 global fortune list. The lab mission is developing "clinician lead technology powered novel and effective clinical workflows" to improve patient care quality without increasing cost. The technology focuses are deep learning, medical image analysis and large-scale clinical informatics in the domains of quantitative imaging, precision medicine and preventive medicine. We commit to create an R&D environment where top-tier computer scientists and world-class clinicians can seamlessly collaborate and work together to tackle human health problems. We believe that is the best organic way of moving health forward and we have established in-depth main partnerships with several world leading hospitals and beyond.


We currently have close engagement with four world class clinical centers and a good range of 8~10 core projects covering emergency medicine, preventive rheumatology quantitative imaging, and more heavily on a comprehensive list of precision oncology imaging AI (e.g., liver, pancreas, thorax, OPX, etc.) problems. In 2019, we have contributed to 20+ patents and 10+ top tier publications in MICCAI/RSNA/CVPR/TMI, etc. One of our papers has been invited for MICCAI 2019 MedIA special issue. Recently we have submitted quite several papers to CVPR 2020, all targeted on advanced medical imaging and clinical informatics problems (our 2019 interns contributed approximately half of submissions). 

 

Job Duties: Conducting the state-of-the-art research and development to enable novel clinical applications at the intersection of medical Imaging, clinical informatics, statistical/deep learning. Details include 1) comprehending recent scientific and clinical literature, 2) collaborating with clinicians to form the proposal and ideas on improving a particular problem in preventive emergency medicine, precison rheumatology quantification, and deep learning and information fusion for multimodal oncology imaging, 3) implementing computer codes of algorithms to process, parse and analyze medical imaging data, 4) write inventions, patents and scientific papers.  

 

Qualifications: Candidates should be enrolled PhD students in good standing, in the programs of Computer Science, Electrical Engineering, Biomedical Engineers, or other related fields. Relevant and strong research experience in Deep Learning, Computer Vision, Image Processing (e.g., Detection/Segmentation/Registration/Recognition/Tagging, etc.) are desirable. Direct exerience on medical imaging is a plus but not a must. We solve real world problems with high clinical/techolgical impacts. Hands-on coding skills via deep learning toolkits, such as PyTorch, Tensorflow and strong analytical ability are required. 12 weeks (longer term more preferred) are minimal.

 

Application Procedure: please contact Dr. Le Lu (www.cs.jhu.edu/~lelu) who serves the lab director. www.paii-labs.com Please contact Dr. Le Lu with your brief introduction and a detailed resume, at email_1 or email_2 

More info | Contact: Dr. Le Lu | Posted on: 2020-01-20

PhD positions in Deep Learning for Satellite Image Analysis

Salary: salary grade E 13 TV-L

Post Summary: The Remote Sensing Image Analysis (RSiM) group at the Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, Germany is looking for highly motivated PhD candidates. The research of the PhD candidates will aim at developing innovative machine learning techniques (with a special focus on deep learning) for the analysis of big data from space. The main topics include: 1) developing deep neural network models that can overcome the data imbalance problems for satellite image classification; and 2) developing active learning methods that are applicable to the designed deep neural networks.

Qualifications: MSc degree is required in computer engineering or computer science with experience in computer vision, deep learning for image understanding. Very good command of German and English is required.

Application Procedure: For more information visit https://tub.stellenticket.de/en/offers/74416/

More info | Contact: Prof. Dr. Begum Demir | Posted on: 2020-01-20

Research Fellow/Post-Doctoral Researcher in Computer Vision and Image Processing Applications

Salary: Appointment will be made on the SFI Post-Doctoral Researcher Level Scale (based on candidates experience) at a point in line with Irish Government Pay Policy.

Post Summary: The ADAPT Centre, the centre for digital content technology, seeks to appoint a Postdoctoral Research Fellow to conduct research in the area of computer vision and image processing in our Industry facing research team ‘Spokes’. We require a highly motivated researcher to join the team in Trinity College Dublin in the school of Computer Science and Statistics to work in collaboration with industry in an exciting programme of applied research. The candidate should have a mature personal research plan in at least one of the relevant following areas: object detection, recognition and segmentation in image data.

Qualifications:Candidates must have a PhD in computer science, statistics or related fields with 4 to 10 years research experience (including PhD studies).

Knowledge & Experience (Essential):

  • Research experience in machine and deep learning for image processing and computer vision or similar areas including 3D point cloud, pattern detection, recognition and geo-location(Essential)

  • Publications in the top conferences (e.g. ICML, CVPR, ICCV) and/or journals (e.g. IEEE Trans. Image Processing, Pattern Analysis and Machine Intelligence, International Journal on Computer Vision) (Essential)

  • Excellent programming skills (e.g. C++, python) with experience using deep learning libraries (e.g. caffe, torch, theano etc.) (Essential)

Application Procedure:

Candidates should submit a cover letter together with a full curriculum vitae including the names and contact details of 3 referees 

(email addresses if possible) to:

Name: Monica Lechea

More info | Contact: Monica Lechea | Posted on: 2020-01-20

Two Postdoctoral Researcher(s) in Innovations in Formalized Learning for Open Worlds

Dr. Boult and his team at UCCS are seeking highly motivated postdoctoral researchers with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning. Classic machine learning and AI make a closed-world assumption, leading to fragile systems that cannot label novel inputs as unknown nor handle novel variations in the world. Very few existing systems can detect novelty and then learn from previous unknowns – almost all systems misclassify the unknown. At the core of intelligence is the ability to recognize when we do not know something, analyze the need to learn about it, and then, when needed, to adapt and learn it – a process we call open-world learning. We seek a candidate to join our multi-institution efforts exploring four main research directions: 1) Formalized models for open world learning with extreme-value theory, 2) Semi-supervised and unsupervised incremental learning 3) Open world learning for object classification and detection, and 4) Open world learning in visual observation of games. The PostDocs are expected to both do research, develop software, write papers, and lead/works with students. Five or more years of Computer vision and/or Machine Learning research and development experience required. Developments will be in Python and C++ on Linux and significant systems/software engineering experience in one or both languages preferred. A Ph.D. is preferred but an MS with significant experience will be considered. International candidates with strong English skills will be considered; we can manage the visa issues. The University of Colorado is an equal opportunity employer; women and underrepresented populations are strongly encouraged to apply. We are expecting to fill two positions to start ASAP 2019, contingent on the project funding.   You can apply at You can apply at https://cu.taleo.net/careerse ction/2/jobdetail.ftl?job=17908&lang=en

More info | Contact: Terry Boult | Posted on: 2020-01-20

Researcher Officer / Senior Research Officer (Visual Place Recognition)

The School of Computer Science and Electronic Engineering at the University of Essex is a large and dynamic department in the Faculty of Science and Health. The School is internationally known for its research in a range of areas and offers excellent education to its students and is now seeking to make two appointments at Research Officer and/or Senior Research Officer level.

You will support the Embedded and Intelligent Systems Laboratory's work on computer/robot vision systems in the School of Computer Science and Electronic Engineering, as part of the recently awarded RICE Project funded by the EPSRC National Centre for Nuclear Robotics Flexible Partnership Fund. The RICE project brings together National Centre for Nuclear Robotics (University of Essex), Australian Centre for Robotic Vision (Queensland University of Technology, Australia), and University of Nevada (Reno, USA) for groundbreaking research in the area of visual place recognition for robotics in extreme environments, more specifically underground mining and nuclear decommissioning. It is a dedicated research programme combined with networking activities, including short-term and longer exchange visits of researchers and student placements.  
 

The specific focus of the post is to aid in the production of the deliverables associated with the RICE Project in conjunction with our partners, the Australian Centre for Robotic Vision (Queensland University of Technology), and University of Nevada (Reno). The project will address the specific research needed for the challenging problem of robust vision to develop robotic vision algorithms to enable robots to perceive their environments and consequently act purposefully under the incredible range of environmental conditions possible, including low light, rain, snow, ice sleet, fog, smoke, dust, wind, glare and heat. You will get a chance to work closely with Prof Michael Milford, Prof Kostas Alexis, Prof Klaus McDonald-Maier and Dr Shoaib Ehsan on the RICE project.

More info | Contact: Dr Shoaib Ehsan | Posted on: 2020-01-20

Post-doctoral, Post-bac, and Research Assistant Opportunities in Cutaneous Imaging and Oncology Measurement

Position:

The Vanderbilt University Medical Center (VUMC) in Nashville, Tennessee is seeking motivated post-doctoral and other academically bound candidates to develop their translational research career in imaging of cutaneous manifestations of cancer and its treatments. Trainees in this well-funded program will enjoy a competitive salary, benefits, and ample resources to advance their career and research. Initial appointment will be for one year with annual renewal options. Multimodal dermatologic imaging techniques including 3D photography, hyperspectral imaging, and confocal microscopy, coupled to image analysis techniques including deep learning neural networks, will be applied in ongoing multicenter clinical trials and basic science research.

Environment:

Candidates will benefit from a personalized research program catered to their goals utilizing resources and mentoring within the Vanderbilt-Ingram Cancer Center (Madan Jagasia), Dermatology (Eric Tkaczyk), Computer Science (Benoit Dawant) and the Biophotonics Center within Biomedical Engineering (Anita Mahadevan-Jansen). This environment brings together clinicians, basic scientists, engineers and statisticians in close collaboration due to its interdisciplinary research and close physical proximity of the School of Medicine to the School of Engineering (100-200 yards).  Example publication: https://www.nature.com/articles/s41409-018-0211-8

Qualifications:

All positions require a B.S. degree.  Post-doc fellows should have a Ph.D. or M.D. with expertise in at least one of the following: clinical translational research, computer science, dermatologic imaging, multivariate data analysis, image processing, optics, clinical device validation, clinical trials and study design, immunology, or biomarkers. The Vanderbilt University Medical Center is an equal opportunities employer.

Application and contact:

Interested applicants are requested to mail their CV, a one-page personal statement, and two letters of recommendation with reference phone numbers and email addresses to:

More info | Contact: Eric Tkaczyk, M.D., Ph.D. | Posted on: 2020-01-20

Tenure Track Faculty Positions

The Department of Computer Science at the University of British Columbia (Vancouver campus) is inviting applications for at least three positions at the rank of Assistant Professor.  We invite applications from candidates of outstanding scientific talent in each of three categories:

  1. artificial intelligence or machine learning; 
  2. systems, including computer architecture, networking and database systems; 
  3. all other areas of computer science. Appointment at a higher rank will be considered for an applicant of exceptional qualifications.

UBC Computer Science ranks among the top departments in North America, with a strong record of excellence in research and in graduate and undergraduate teaching. The anticipated start date is July 1, 2020.

A PhD in Computer Science or a related area is required. Applicants must hold a Ph.D. in Computer Science or a related area by the start date and must demonstrate evidence of research success and a high potential to be leaders in their research field. Successful candidates will develop and maintain an internationally-recognized research program and are expected to effectively supervise graduate students, collaborate with other faculty members, obtain external funding, teach computer science courses for undergraduate and graduate students, and actively participate in departmental activities. The potential of an applicant's research program to complement and extend the existing research and teaching strengths of the department will be an important factor in selection.

Interested applicants should submit a CV, a research statement, a teaching statement, and letters from at least three references. The teaching statement should include a record of teaching interests and experience. Applicants should also include a statement describing your experience working with a diverse student body, as well as your past, present, and/or future contributions to creating/advancing a culture of equity and inclusion on campus or within your discipline.

Applications may be submitted online at https://apps.cs.ubc.ca/fac-recruit/research/apply/form.jsp.  Review of applications will start on December 15, 2019 and continue until the positions are filled.

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the BC Human Rights Code including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit or Indigenous person. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.

For questions about the application process, contact Jim Little, Chair of Faculty Recruiting, at research-recruiting-chair@cs.ubc.ca

More info | Contact: Jim Little | Posted on: 2020-01-20