[visionlist] PhD positions in deep learning for medical image analysis

[Jose Dolz]

   Applications are invited for a fully funded PhD position at the ETS,
   Montreal, Canada. ETS is the fastest-growing and largest engineering school
   in Quebec, with an expanding team of highly qualified young researchers in
   image analysis, computer vision and deep learning, some of the priority
   areas of the school.

   The position is available after the candidate passes ETS application
   requirements and the candidate will start at her/his convenience (latest at
   winter 2020). Financial support is available for 4 years. This project will
   explore learning strategies when annotated data is scarce, with the goal of
   understanding and interpreting medical image data efficiently, with a main
   focus on image segmentation. The successful candidate will work under the
   supervision of Prof. Jose Dolz.

   Prospective applicants should have:
   - Strong academic record with an excellent M.Sc. degree (or equivalent)
      in computer science, applied mathematics, or electrical/biomedical
      engineering, preferably with expertise in more than one of the following
      areas: medical image analysis, machine learning, computer vision, pattern
      recognition, semi/weakly supervised learning and/or optimization.
      - Experience with a deep learning framework (preferably PyTorch, or
      Tensorflow).
      - Research experience in computer vision, machine learning or image
      processing is also desirable.
      - Publications in a peer-reviewed journal or conference in a related
      topic is a bonus.

   For consideration, please send a full CV, names and contact details of
   two references, transcripts for graduate studies, and a link to a M.Sc.
   thesis (as well as relevant publications if any) to:

   jose.dolz at etsmtl.ca

Link: https://josedolz.github.io/opening/

-- 
*Jose Dolz*
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