[visionlist] PhD position in deep learning for computer vision and medical image analysis

[Jose Dolz]

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

The positions are available after the candidate passes ETS application
requirements and the candidate will start at her/his convenience (latest at
fall 2021). 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 imaging data (computer vision and medical
imaging) efficiently, with a main focus on image segmentation. Particularly,
these learning strategies may include semi-supervised, weakly supervised,
self-training, few-shot and continual learning. 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

-- 
*Jose Dolz*
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