<html><head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head>
<body>
<p>The Weierstrass Institute (WIAS) in Berlin, Germany, is looking
for a postdoc candidate passionate about conducting research in
the intersection of mathematical optimization, machine learning,
optimal control with a focus on robustness under distribution
shift. The position is associated with a third-party funded
research project led by<span> </span><em>Dr. <a href="https://jj-zhu.github.io/" title="Unmangled Microsoft
Safelink">Jia-Jie Zhu</a> (WIAS Berlin)</em><span> </span>and<span> </span><em>Dr.
<a href="https://www.wias-berlin.de/people/hintermueller/?lang=1" title="Unmangled Microsoft Safelink">Michael Hintermüller</a>
(WIAS/ Humboldt-Universität zu Berlin)</em>. The initial funding
period will run for two years, starting January 1st, 2022. The
applicants should have completed their Ph.D. degrees by the
starting date of the project.</p>
<p>
</p>
<p><span>Subject and candidate qualification</span></p>
<p>Motivated by numerous partial differential equation (PDE) related
practical applications, a pressing challenge for data-driven
optimization and control systems is the ubiquitous distribution
shift, which implies higher demand for the robustness of the
learning-for-control design. The project, funded by the Excellence
Cluster MATH+: The Berlin Mathematics Research Center, aims to
address<span> </span><strong>data-driven robust control and
optimization of dynamical systems under data distribution
shifts,<span> </span></strong>using principled tools from
applied mathematics and statistical machine learning as well as
reinforcement learning. We invite candidates whose scholar<span> </span><strong>profiles
are mainly theoretical</strong><span> </span>and exhibit proven
excellence in research. We specifically prefer two types of
mathematical research experiences:</p>
<p>(1) either in principled statistical machine
learning/reinforcement learning theory (related to dynamical
systems, time series, Markov decision process (MDP), principled
control theory). </p>
<p>(2) and/or in applied mathematics, in optimization, numerical
analysis, optimal/robust/stochastic control, dynamical systems
(PDEs and S(P)DEs), data-driven modeling of dynamics, theory of
model predictive control (MPC).</p>
<p><b>To apply or learn more</b></p>
<p>Follow this<span> </span><a href="https://jj-zhu.github.io/postdoc_1/" title="Unmangled
Microsoft Safelink">link</a>. Please direct all inquiries to the
email address<span> <a class="moz-txt-link-abbreviated" href="mailto:doc.berlin.wias@gmail.com">doc.berlin.wias@gmail.com</a></span>, with the
subject containing [inquiry-postdoc-mathplus]. For more
information about WIAS Berlin, see <a href="https://www.wias-berlin.de/" title="Unmangled Microsoft
Safelink" class="moz-txt-link-freetext">https://www.wias-berlin.de/</a>.</p>
<br>
------------------------------<br>
Jia-Jie Zhu<br>
Berlin<br>
------------------------------
</body>
</html>