[visionlist] Funded Doctoral Position in Montreal: Deep Learning for Video-Based Expression Recognition
jose.dolz.upv at gmail.com
Tue Mar 13 19:26:58 -05 2018
Applications are invited for a funded PhD position in deep learning for
spatio-temporal expression recognition from facial and vocal modalities.
The candidate will work under the supervision of Prof. Eric Granger and at
the Laboratory of imaging, vision and artificial intelligence (LIVIA), ETS
Montreal (University of Québec) and Prof. Simon Bacon at Concordia
University and the CIUSSS-NIM’s Montreal Behavioural Medicine Centre. The
position is available immediately after the candidate passes ETS
application requirements, and for a maximum duration of 3-4 years.
We are looking for a highly motivated doctoral student who is interested in
performing cutting-edge research in machine learning algorithms applied to
expression recognition based on facial and vocal traits captured in videos,
with a particular focus on deep learning (e.g, convolutional and recurrent
neural network) architectures, domain adaptation and weakly-supervised
learning. Prospective applicants should have:
- Strong academic record with an excellent M.Sc. degree in computer
science, applied mathematics, or electrical engineering, preferably with
expertise in one or more of the following areas: affective computing,
machine learning, neural networks, computer vision, face and speech
processing, and pattern recognition;
- A good mathematical background;
- Good programming skills in languages such as C, C++, Python and/or
- Knowledge of deep learning frameworks would be a plus.
- A prior publication in one of the major conferences or journals in
computer vision/machine learning is not necessary but would be very
Application process: For consideration, please send a resume, names and
contact details of two references, transcripts for under-graduate and
graduate studies, and a link to a Masters thesis (as well as relevant
publications if any) to Eric.Granger at etsmtl.ca.
Further information :
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