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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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<td>Postdoctoral and PhD vacancies in AI at UCL</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Fri, 14 Jan 2022 11:05:35 +0100</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Gabriel Facini <a class="moz-txt-link-rfc2396E" href="mailto:gabriel.facini@cern.ch"><gabriel.facini@cern.ch></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td>lhc-machinelearning-wg (Discussion group for machine
learning at the LHC)
<a class="moz-txt-link-rfc2396E" href="mailto:lhc-machinelearning-wg@cern.ch"><lhc-machinelearning-wg@cern.ch></a></td>
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<div>Dear Colleagues,</div>
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<div>Happy new year! </div>
<div><br>
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<div>The following postdoctoral and PhD opportunities
are available at University College London:</div>
<div>
<ul>
<li style="padding-bottom:0.6001em"><a
href="https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.jasonmcewen.org%2Fopportunities%2F%23postdoc-1&data=04%7C01%7Cg.facini%40ucl.ac.uk%7Ceb4eaddf8d334a98860508d9d6947bf2%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637776755496248388%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=WtDhUOgwYeB8DiC3eyOpzPxfgyltUlH%2BDI9bW5Xr%2FNQ%3D&reserved=0"
target="_blank" moz-do-not-send="true">Research
Fellowship in Artificial Intelligence for
Imaging</a><br>
</li>
<li style="padding-bottom:0.6001em"><a
href="https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.jasonmcewen.org%2Fopportunities%2F%23phd-project-1&data=04%7C01%7Cg.facini%40ucl.ac.uk%7Ceb4eaddf8d334a98860508d9d6947bf2%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637776755496248388%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=Z6zrGgPeOUYcvN%2FvTu%2BBwp2%2B6chXOme8LKQq%2BMYfMus%3D&reserved=0"
target="_blank" moz-do-not-send="true">PhD
vacancy in Geometric Deep Learning for Cosmology
and Beyond</a><br>
</li>
<li style="padding-bottom:0.6001em"><a
href="https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.jasonmcewen.org%2Fopportunities%2F%23phd-project-2&data=04%7C01%7Cg.facini%40ucl.ac.uk%7Ceb4eaddf8d334a98860508d9d6947bf2%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637776755496248388%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=OQUYAxWFDoSvgCMkvcBqjDtCIkizOKj18KbWOGtZvAk%3D&reserved=0"
target="_blank" moz-do-not-send="true">PhD
vacancy in Geometric Deep Learning for
Likelihood-Free Statistical Inference</a><br>
</li>
</ul>
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<div>A brief summary of the Research Fellowship
position is also included below.<br>
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<div><br>
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<div>Please send any inquiries to: </div>
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<div>Jason McEwen <<a
href="mailto:jason.mcewen@ucl.ac.uk"
moz-do-not-send="true"
class="moz-txt-link-freetext">jason.mcewen@ucl.ac.uk</a>></div>
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<div>Professor of Astrostatistics, UCL</div>
<div>Director of Research (Astrophysics),
Centre for Doctoral Training in Data
Intensive Science, UCL</div>
<div>Turing Fellow, Alan Turing Institute<br>
</div>
<div><a
href="https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.jasonmcewen.org%2F&data=04%7C01%7Cg.facini%40ucl.ac.uk%7Ceb4eaddf8d334a98860508d9d6947bf2%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637776755496248388%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=Qu8owwMmpepPlJ3MQqP1Q9C8P8l1ADNiXKRIoTvpNXQ%3D&reserved=0"
target="_blank" moz-do-not-send="true">www.jasonmcewen.org</a></div>
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<div>Cheers,</div>
<div>Gabriel</div>
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Research Fellowship in Artificial Intelligence
for Imaging<br>
<br>
Application deadline: 21 February 2022</div>
<div><br>
</div>
<div>We have a vacancy for a Research Fellowship
in Artificial Intelligence for Imaging to be
hosted in the Department of Computer Science at
UCL. The position is funded by Learned Exascale
Computational Imaging (LEXCI) programme for the
first two years with an option of subsequent
employment as a staff scientist at UCL Advanced
Research Computing (ARC) Centre.<br>
<br>
The goal of LEXCI is to develop a new paradigm
of exascale computational imaging, integrating
hybrid model and data based approaches with
uncertainty quantification at large scale and in
distributed environments. During the project
lifetime the team will focus on applications to
imaging from observations of the next-generation
of radio interferometric telescopes and imaging
of neuronal pathways in the human brain through
diffusion MRI.<br>
<br>
LEXCI is driven by a multi-disciplinary team of
experts in machine learning, statistics, applied
mathematics, physics, high-performance
computing, and software research engineering,
led by Prof. Jason McEwen (UCL MSSL), Assoc.
Prof. Marta Betcke (UCL CS), Rev. Dr Jeremy
Yates (UCL CS), and Assoc. Prof. Marcelo Pereyra
(Heriot-Watt University).<br>
<br>
The successful candidate will be working with
Assoc. Prof. Marta Betcke, Prof. Jason McEwen
and Assoc. Prof. Marcelo Pereyra and will focus
in particular on the development of statistical
and numerical methods and algorithmic challenges
in the context of big data and large scale,
distributed hybrid architectures. They will also
collaborate with Research Software Engineers in
LEXCI team on deployment on modern and future
high-performance computing infrastructure and
with application domain specialists on knowledge
transfer (astronomy, medical imaging and
beyond).<br>
<br>
This post is available to start as soon as
possible but not later than September 2022 and
is funded for 24 months in the first instance
with the option of transitioning to an
open-ended appointment as a staff scientist
within UCL Advanced Research Computing (ARC)
Centre at the end of this period, subject to
satisfactory performance evaluation.<br>
<br>
Further details and the application link
(submission deadline 21 February 2022) are
available
<a
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here</a>.</div>
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