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<p>At the University of Koblenz-Landau, Campus Koblenz, there are
several <br>
research positions available as part of the collaborative research
<br>
project "Interdisciplinary hub for teaching skills in the
development, <br>
handling and application of explainable, trustworthy, resilient
and <br>
secure AI processes" (IH - evrsKI).<br>
<br>
For the working group 'Mathematical Modeling, Simulation and <br>
Optimization of Complex Systems' of Michael Hinze at the
Mathematical <br>
Institute we are looking for a research assistant (m/f/d) (1.0
Egr. 13 <br>
TV-L, 36 months).<br>
<br>
The research focus of this position lies in the development and <br>
communication of mathematical principles and algorithms for
certified <br>
methods of machine learning and complexity reduction. An important
goal <br>
is the development of a corresponding course programme that
bridges the <br>
gap between the effectiveness and the success of the methods. In <br>
addition, it intends to address questions about the quality and <br>
structure of solutions, and also pursues the question of what can
be <br>
learned or reduced at all and under which conditions or at which
speed <br>
algorithms and methods of machine learning and complexity
reduction <br>
converge or can be generalized. An integral part of the research
here is <br>
also the communication of these topics to students from different
<br>
disciplines.<br>
</p>
<p>Requirements:<br>
<br>
Successful candidates require a master degree in Applied
Mathematics, <br>
Mechanical Engineering, Computer Science or Computational Physics,
with <br>
a strong background in numerical methods and nonlinear
programming, <br>
ideally with experience in mathematical complexity reduction, <br>
approximation and/or machine learning. Fluency in both written and
<br>
spoken English and the ability to work in an interdisciplinary
team are <br>
mandatory. Additional knowledge in modern scientific programming
is <br>
desired. Very strong problem-solving skills, willingness to learn,
<br>
ability to work independently, experience/willingness in writing <br>
publications and good presentation skills are essential.<br>
<br>
If you have any questions, Prof. Dr. Michael Hinze is at your
disposal <br>
(<a class="moz-txt-link-abbreviated" href="mailto:hinze@uni-koblenz.de">hinze@uni-koblenz.de</a>, Tel.: +49 261 287-2310). The complete call
for <br>
applications can be viewed at <br>
</p>
<p><a href="https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/2022/ko05-2022." title="Unmangled Microsoft Safelink" class="moz-txt-link-freetext">https://www.uni-koblenz-landau.de/de/uni/organisation/stellen/stellenarchiv/2022/ko05-2022.</a><br>
<br>
<br>
-- <br>
Prof. Dr. Michael Hinze<br>
Modeling, Simulation & Optimization of Complex Systems<br>
<br>
Universit??t Koblenz-Landau<br>
Campus Koblenz<br>
Universit??tsstra??e 1<br>
56070 Koblenz<br>
<br>
F +49+261 287 2310<br>
M +49+160 98510268<br>
<br>
<a class="moz-txt-link-freetext" href="mailto:hinze@uni-koblenz.de">mailto:hinze@uni-koblenz.de</a></p>
<p><a href="https://www.uni-koblenz-landau.de/de/koblenz/fb3/organisation/personen/mathe/hinze" title="Unmangled Microsoft Safelink">https://www.uni-koblenz-landau.de/de/koblenz/fb3/organisation/personen/mathe/hinze<br>
</a><a href="https://www.uni-koblenz-landau.de/de/koblenz/fb3/organisation/personen/mathe/hinze" title="Unmangled Microsoft Safelink"></a></p>
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