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<p
style="margin-top:6pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US">WIAS invites in the Research Group</p>
<p
style="margin-top:6pt;margin-bottom:12pt;font-family:Arial;font-size:12.0pt"
lang="en-US"><span style="font-weight:bold">“Nonsmooth Variational
Problems and
Operator Equations”</span></p>
<p
style="margin-top:0pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US">(Head: Prof. Dr. M. Hintermüller)<span
style="font-weight:bold;
font-style:italic"> </span>applications for a </p>
<p
style="margin-top:6pt;margin-bottom:0pt;font-family:Arial;font-size:16.0pt"
lang="en-US"><span style="font-weight:bold">PhD student position
(f/m/d) </span></p>
<p style="margin:0in;font-family:Arial;font-size:16.0pt"
lang="en-US"><span style="font-weight:bold">on optimization
methods for deep learning</span></p>
<p
style="margin-top:0pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US"><span style="mso-spacerun:yes"> </span>(<span
style="font-weight:
bold">Ref. 22/34</span>)</p>
<p
style="margin-top:0pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt;color:black"
lang="en-US">to be filled at the earliest possible date. The
position is associated to the MATH+ Cluster of Excellence project
EF1-15
“Robust Multilevel Training of Artificial Neural Networks". The
project
aims to develop novel methods for training nonsmooth artificial
neural networks
with emphasis on their theoretical analysis, algorithmic
implementation and
related applications (e.g. deep learning-based numerical solution
of PDEs and
their optimal control).</p>
<p style="margin:0in;font-family:Arial;font-size:11.0pt"
lang="en-US"><span style="font-weight:bold">We are looking for:</span>
a motivated and
enthusiastic candidate with an above-average master’s degree in
mathematics and
a solid background in mathematical optimization, numerical
analysis, scientific
computing, functional analysis and partial differential equations.
Strong programming
skills are highly desired.</p>
<p
style="margin-top:6pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US">Technical queries should be directed to Prof. Dr.
Michael
Hintermüller (<a
href="mailto:Michael.Hintermueller@wias-berlin.de"
class="moz-txt-link-freetext">Michael.Hintermueller@wias-berlin.de</a>).
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p
style="margin-top:6pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US"><span style="color:red">The position is limited to
three years. </span>The
reduced work schedule is 29,25 hours per week, and the salary is
according to
the German TVoeD Bund scale.</p>
<p
style="margin-top:6pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US">The Institute aims to increase the proportion of
women in this
field, so applications from women are particularly welcome. Among
equally
qualified applicants, disabled candidates will be given
preference.</p>
<p
style="margin-top:6pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US">Please upload your complete application documents
(motivation
letter, detailed CV, certificates, list of MSc courses and grades,
copy of the
master thesis, reference letters, etc.) via our <a
href="https://short.sg/j/22798226">applicant portal</a> using
the button “<a href="https://short.sg/a/22798226">Apply online</a>".</p>
<p
style="margin-top:6pt;margin-bottom:6pt;font-family:Arial;font-size:11.0pt"
lang="en-US"><span style="font-weight:bold">The advertisement is
open with
immediate effect and will remain open until the position will be
filled.</span></p>
<p style="margin:0in;font-family:Arial;font-size:11.0pt"
lang="en-US"><span style="font-weight:bold">We are looking forward
to your application!</span></p>
<p style="margin:0in;font-family:Arial;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Arial;font-size:11.0pt"> </p>
<p style="margin:0in;font-size:11.0pt"><span
style="font-weight:bold;
font-family:Arial">See here for more information:<span
style="mso-spacerun:yes"> </span></span><a
href="https://short.sg/j/22798226"><span
style="font-family:Calibri">https://short.sg/j/22798226</span></a></p>
<pre class="moz-signature" cols="72">--
Administration
Weierstrass Institute for Applied Analysis and Stochastics
Mohrenstrasse 39
10117 Berlin, Germany
Phone: +49 (0)30 20372 557
Fax: +49 (0)30 20372 329
URL: <a class="moz-txt-link-freetext" href="http://www.wias-berlin.de/~sill/?lang=1">http://www.wias-berlin.de/~sill/?lang=1</a>
</pre>
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