[visionlist] PhD position in deep learning for forgery detection

[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 2022). Financial support is available for 4 years. This project will
explore learning strategies for forgery detection under the fully
supervised and unsupervised learning paradigm. The main application domain
of the devised models will be on images of official documents (such as
passport or driver license), even though we will investigate their use in
other application domains, such as color images. 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 an industrial partner and publish her/his research on
top computer vision journals (TPAMI, IJCV) and conferences (CVPR, ECCV,
ICCVetc).

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).
   -

   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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