[visionlist] [job] IDIAP/EPFL (CH): 2 Postdoc positions in deep learning and computer vision

The Perception and Activity Understanding group of the Idiap Research
Institute (www.idiap.ch), a laboratory associated with EPFL
(www.epfl.ch), seeks qualified candidates in computer vision and machine
learning for interaction analysis.

Position 1: Within the context of the project REGENN, the main goal is
to apply deep learning and machine learning techniques (eg adaptation)
for gaze estimation in the 3D space (see project
http://ift.tt/1rjrFO7). The project involves the tech company
Eyeware (http://eyeware.tech/). The candidate is expected to research
and publish the developed methods.

Position 2: Within the context of the MuMMER European project
(http://ift.tt/1W75isC), the goal is to design deep learning
algorithms for 3D pose estimation and interaction analysis in HRI
applications, using both RGB and Depth video streams. Other tasks
(multi-person tracking and Re-identification) might be considered as
well, based on candidates expertise. The postdoc will join a team of
3PhD students and 1 engineer working on the project.

The ideal postdoctoral candidates will have a PhD in computer vision
and/or machine learning. They should have a good background in applied
mathematics and statistics. Excellent software and programming skills in
C/C++ and/or Python are expected. Hands-on experience with deep learning
techniques are a plus.

Annual gross salary is 80,000. The starting date is as soon as possible
for position 1, and up to fall 2017 for position 2. The position is
initially for one year, with possibility of renewal.

Application: for more information, please contact Dr Jean-Marc Odobez
(odobez@idiap.ch, http://www.idiap.ch/~odobez). Interested candidates should
submit a cover letter, a detailed CV, and the names of three references
(or recommendation letters).

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