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<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif">~3-year Post-Doctoral Research
Associate on the Mathematics of Deep Learning</p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif"><span style="word-break:break-all;">=================================================================</span></p>
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<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif">Deadline: 12 July 2022</p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif">Link: <a href="https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC9557" title="Unmangled Microsoft Safelink">www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC9557</a></p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif"> </p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif">Description: We are hiring
Post-Doctoral Research Associates to work in the EPSRC Programme
Grant <a href="https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V026259/1" title="Unmangled Microsoft Safelink">EP/V026259/1</a> on the <a href="https://people.bath.ac.uk/mascjb/maths4dl.html" title="Unmangled Microsoft Safelink">"Mathematics of Deep
Learning"</a> jointly run by the University of Cambridge, the
University of Bath and University College London. The successful
candidate will join a close knit team hosted by all three
universities and led by Prof Chris Budd OBE and Dr Matthias
Ehrhardt (Bath), Profs Carola-Bibiane Schönlieb and Richard Nickl
(Cambridge) and Profs Simon Arridge and Bangti Jin (UCL). This is
an exceptional opportunity to conduct ambitious research at the
forefront of mathematics, statistics and machine learning.</p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif"> </p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif">Qualifications: Applicants must
have (or about to receive) a PhD degree in mathematics or
statistics (or a closely related discipline). The ideal candidates
will be experienced in one or more of the following areas:
mathematical or computational analysis, mathematical statistics,
inverse problems, machine learning, mathematical imaging,
optimisation and/or data science. Experience in programming is
desirable (e.g. MATLAB/Python, Tensorflow/PyTorch).</p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif"> </p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif;background: white"><span style="font-size:7.5pt;color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm">-- </span><span style="font-size:13.5pt;color:black"></span></p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif;background: white"><span style="font-size:7.5pt;color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm">Matthias J Ehrhardt, PhD </span><span style="font-size:13.5pt;color:black"></span></p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif;background: white"><span style="font-size:7.5pt;color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm">Reader and Leverhulme Early Career Fellow </span><span style="font-size:13.5pt;color:black"></span></p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif;background: white"><span style="font-size:7.5pt;color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm">Department of Mathematical
Sciences, University of Bath, UK </span><span style="font-size:13.5pt;color:black"></span></p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif;background: white"><span style="font-size:7.5pt;color:black"><a href="https://mehrhardt.github.io/" title="Unmangled Microsoft
Safelink"><span style="color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm">https://mehrhardt.github.io</span></a></span><span style="font-size:7.5pt;color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm"> </span><span style="font-size:13.5pt;color:black"></span></p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif;background: white"><span style="font-size:7.5pt;color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm"> </span><span style="font-size:13.5pt;color:black"></span></p>
<p style="margin: 0cm;font-size: 11.0pt;font-family:
"Calibri",sans-serif"><span style="font-size:7.5pt;color:#7F7F7F;border:none windowtext
1.0pt;padding:0cm"><span style="word-break:break-all;">-----------------------------------------------------------------------------------------------------------------------------------------------------------------</span><br>
I may send my emails outside of normal working hours – please do
not feel obliged to respond outside your working hours<br>
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