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<p><b>Efficient Deep Learning for Training and Inference</b><br>
Applications are invited for a funded PhD position in computer
vision and machine learning at ETS<br>
Montreal, Canada. The candidate will work under the supervision of
Prof. Marco Pedersoli at ETS<br>
Montreal and Prof. Hakan Bilen at University of Edinburgh. The
position is available immediately after the<br>
candidate passes ETS application requirements. Financial support
is available for the project’s duration<br>
(maximum of 3-4 years).</p>
<p>We are looking for highly motivated doctoral students, who are
interested in performing cutting-edge<br>
research in computationally efficient deep learning models, with a
particular focus on problems regarding<br>
networks training and optimization, compression and fast
inference.</p>
<p>Prospective applicants should have:<br>
● Strong academic record with an excellent M.Sc. degree in
computer science, applied mathematics,<br>
or electrical engineering, preferably with expertise in one or
more of the following areas: machine<br>
learning, deep learning, computer vision;<br>
● A good mathematical background;<br>
● Very good programming skills in languages such as Python, C, C++
and deep learning libraries<br>
such as TensorFlow or Pytorch<br>
</p>
<p>A prior publication in one of the major conferences or journals
in computer vision/machine learning is not<br>
necessary but would be a very desirable.</p>
<p>Application process: For consideration, please send by <b>October
15th</b> a resume, names and contact details<br>
of two references, transcripts for undergraduate and graduate
studies, and a link to a Master thesis (as well<br>
as relevant publications if any) with a title <b>[Prospective PhD
student]</b> to<br>
Marco Pedersoli (<a class="moz-txt-link-abbreviated" href="mailto:Marco.Pedersoli@etsmtl.ca">Marco.Pedersoli@etsmtl.ca</a>) and Hakan Bilen
(<a class="moz-txt-link-abbreviated" href="mailto:hbilen@ed.ac.uk">hbilen@ed.ac.uk</a>)</p>
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