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<p>-------- Forwarded Message --------</p>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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<td>[DMANET] 2x Postdoc, University of Bremen, Discrete
Optimization, Uncertainty, Parameterized Complexity</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Fri, 25 Feb 2022 12:51:57 +0100</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Nicole Megow <a class="moz-txt-link-rfc2396E" href="mailto:nicole.megow@uni-bremen.de"><nicole.megow@uni-bremen.de></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:dmanet@zpr.uni-koeln.de">dmanet@zpr.uni-koeln.de</a> <a class="moz-txt-link-rfc2396E" href="mailto:dmanet@zpr.uni-koeln.de"><dmanet@zpr.uni-koeln.de></a></td>
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<br>
<br>
Two Postdoc positions at the University of Bremen, Germany<br>
in Discrete Optimization, Parameterized Complexity and/or
Optimization and Uncertainty<br>
<br>
for 1 year full-time (TV-L 13)<br>
application deadline: April 1, 2022<br>
<br>
Two postdoc researcher positions are available at the University
of Bremen in the Faculty of Mathematics and Computer Science in a
joint project headed by Nicole Megow, Daniel Schmand and Sebastian
Siebertz.<br>
<br>
The three groups' research areas embrace discrete and
combinatorial optimization, approximation algorithms, optimization
under uncertainty such as online, stochastic and robust
optimization as well as learning-augmented methods, algorithmic
game theory, algorithmic graph structure theory, parameterized
complexity and logic in computer science.<br>
<br>
The successful applicant is expected to do innovative research in
the joint project aiming at integrating learning-based methods
into algorithm theory and optimization. It is funded by a seed
grant of the research cluster Minds, Media, Machines
(<a class="moz-txt-link-freetext" href="http://minds-media-machines.de/">http://minds-media-machines.de/</a>><br>
The ideal candidate holds an excellent PhD degree in mathematics,
theoretical computer science or a related area, and should have a
strong publication record in the areas of discrete optimization
and algorithm theory. A background in one or multiple of the
mentioned areas is desirable. In addition, the successful
candidate is highly self-motivated, passionate about her/his work,
and has a good ability to work both independently as well as in a
team. Good communication skills and solid English skills, both
oral and in writing, are expected.<br>
<br>
The position is a full-time position for 1 year (an extension
might be possible), paid according to the Federal German Payment
scale TV-L 13.<br>
<br>
Applications will be reviewed starting from April 1st, 2022, until
the position is filled. The intended starting date is August 1,
2022.<br>
<br>
Please send your application as a single pdf(!) to
<a class="moz-txt-link-abbreviated" href="mailto:seed-mss@uni-bremen.de">seed-mss@uni-bremen.de</a>. The application should include<br>
- a motivation letter describing your background and reasons for
applying for this position<br>
- a detailed CV with a list of publications<br>
- a 1-page research statement describing research interests and
goals<br>
- names and email addresses of two academic references<br>
<br>
Questions regarding the position should be directed to
<a class="moz-txt-link-abbreviated" href="mailto:seed-mss@uni-bremen.de">seed-mss@uni-bremen.de</a> (Nicole Megow, Daniel Schmand, Sebastian
Siebertz).<br>
<br>
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