[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 2021). Financial support is available for 4 years. This project will
explore learning strategies for unsupervisedly out-of-distribution
detection in dense prediction tasks, such as image segmentation. The main
application domain of the devised models will be on neonatal brain
multi-modal imaging, even though we will investigate their use in other
medical applications, as well as in other computer vision problems. The
successful candidate will work under the supervision of Prof. Jose Dolz and
Prof. Christian Desrosiers. Furthermore, the selected student is expected
to work in close collaboration with pediatric clinicians and publish
her/his research on top medical image computing and computer vision
journals (MedIA, IEEE TMI, IJCV) and conferences (MICCAI, IPMI, CVPR,
ECCV,etc).

Prospective applicants should have:

   - Strong academic record with an excellent M.Sc. degree 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 (preferrably PyTorch, or
   Tensorflow).
   - Knowledge of unsupervised models for deep learning such as VAE or
   related models will be highly regarded.
   - Publications in a peer-reviewed journal or conference in a related
   topic are a bonus.


For consideration, please send a CV, a cover letter, 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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