[Todos] Postdoctoral and PhD vacancies in AI at UCL

[Ernesto Arganda Carreras]

-------- Forwarded Message --------
Subject: 	Postdoctoral and PhD vacancies in AI at UCL
Date: 	Fri, 14 Jan 2022 11:05:35 +0100
From: 	Gabriel Facini <gabriel.facini en cern.ch>
To: 	lhc-machinelearning-wg (Discussion group for machine learning at 
the LHC) <lhc-machinelearning-wg en cern.ch>



Dear Colleagues,

Happy new year!

The following postdoctoral and PhD opportunities are available at 
University College London:

  * Research Fellowship in Artificial Intelligence for Imaging
    <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>
  * PhD vacancy in Geometric Deep Learning for Cosmology and Beyond
    <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>
  * PhD vacancy in Geometric Deep Learning for Likelihood-Free
    Statistical Inference
    <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>

A brief summary of the Research Fellowship position is also included below.

Please send any inquiries to:

    Jason McEwen <jason.mcewen en ucl.ac.uk>

    Professor of Astrostatistics, UCL
    Director of Research (Astrophysics), Centre for Doctoral Training in
    Data Intensive Science, UCL
    Turing Fellow, Alan Turing Institute
    www.jasonmcewen.org
    <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>


Cheers,
Gabriel



Research Fellowship in Artificial Intelligence for Imaging

Application deadline: 21 February 2022

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.

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.

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).

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).

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.

Further details and the application link (submission deadline 21 
February 2022) are available here 
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fatsv7.wcn.co.uk%2Fsearch_engine%2Fjobs.cgi%3FSID%3DamNvZGU9MTg4MTE3MCZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xODgxMTcwJnBvc3RpbmdfY29kZT0yMjQ%3D&data=04%7C01%7Cg.facini%40ucl.ac.uk%7Ceb4eaddf8d334a98860508d9d6947bf2%7C1faf88fea9984c5b93c9210a11d9a5c2%7C0%7C0%7C637776755496248388%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=1rQTx0Au%2BpmXga38ZJmwXi%2FfZEhCns9oBdnDGzjhMQ8%3D&reserved=0>.

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