Connectionists: Funded PhD position at ETS Montreal in machine learning

[Hakan Bilen]

*Efficient Deep Learning for Training and Inference*
Applications are invited for a funded PhD position in computer vision 
and machine learning at ETS
Montreal, Canada. The candidate will work under the supervision of Prof. 
Marco Pedersoli at ETS
Montreal and Prof. Hakan Bilen at University of Edinburgh. The position 
is available immediately after the
candidate passes ETS application requirements. Financial support is 
available for the project’s duration
(maximum of 3-4 years).

We are looking for highly motivated doctoral students, who are 
interested in performing cutting-edge
research in computationally efficient deep learning models, with a 
particular focus on problems regarding
networks training and optimization, compression and fast inference.

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: machine
learning, deep learning, computer vision;
● A good mathematical background;
● Very good programming skills in languages such as Python, C, C++ and 
deep learning libraries
such as TensorFlow or Pytorch

A prior publication in one of the major conferences or journals in 
computer vision/machine learning is not
necessary but would be a very desirable.

Application process: For consideration, please send by *October 15th* a 
resume, names and contact details
of two references, transcripts for undergraduate and graduate studies, 
and a link to a Master thesis (as well
as relevant publications if any) with a title *[Prospective PhD student]* to
Marco Pedersoli (Marco.Pedersoli at etsmtl.ca) and Hakan Bilen 
(hbilen at ed.ac.uk)


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