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<p>-------- Forwarded Message --------</p>
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<td>[DMANET] Postdoc position in Algorithms, Technical
University Munich</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Thu, 18 Nov 2021 11:53:38 +0100</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Andreas Wiese <a class="moz-txt-link-rfc2396E" href="mailto:awiese@dii.uchile.cl"><awiese@dii.uchile.cl></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></td>
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<br>
<br>
Postdoc position in Algorithms<br>
Technical University Munich<br>
<br>
for 2 years, 100%, m/w/d, starting April 1, 2022.<br>
<br>
A postdoc position is available in the new group of Professor
Andreas Wiese at the Technical University of Munich in the
department of mathematics (<a class="moz-txt-link-freetext" href="https://www.ma.tum.de/">https://www.ma.tum.de/</a> which will be
established soon. The group's research focus will be combinatorial
optimization, discrete mathematics, approximation algorithms, and
dynamic algorithms.<br>
<br>
The successful candidate will have the opportunity to work within
a vibrant, interdisciplinary and international research
environment on the Garching Campus of the TU München, with several
groups working in theoretical computer science, discrete
optimization, operations research, engineering, and related fields
and departments. The position is a full-time position for 2 years,
with the possibility of extension, paid according to the Federal
German payment scale TV-L 13 (100% position). The actual salary
depends on academic experience, family situation, tax
classification, etc. Travel support for attending conferences,
workshops, etc. is of course available.<br>
<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 area of efficient algorithms, for
example approximation algorithms or dynamic algorithms. Solid
English skills, both oral and in writing, are expected. In
addition, the successful candidate is highly self-motivated and
has a good ability to work both independently as well as in a
team. Her/his activities will include conducting research with
other group members and external collaborators, teaching, and
participating in other activities of the group. Proficiency in
German is not required.<br>
<br>
We explicitly encourage applications from women as well as from
all others who would bring additional diversity dimensions to the
university's research and teaching strategies. Preference will be
given to candidates with disabilities who have essentially the
same qualifications.<br>
<br>
If you have any question about the position, please feel free to
contact Andreas Wiese <a class="moz-txt-link-abbreviated" href="mailto:a.wiese@vu.nl">a.wiese@vu.nl</a><br>
<br>
Please send your application with the subject line “PostDoc
Algorithms” as a single PDF document to Angelika Hass
<a class="moz-txt-link-abbreviated" href="mailto:hass@ma.tum.de">hass@ma.tum.de</a><br>
<br>
Your applications should include<br>
- a detailed CV with a list of publications and previous teaching
experience<br>
- a 1-2 page research statement describing research interests and
goals<br>
- names and email addresses of 2-3 academic references<br>
<br>
Applications will be reviewed starting from December 8, 2021,
until the position is filled.<br>
<br>
<br>
<br>
<br>
Data protection: As part of your application, you provide personal
data to the Technical University of Munich (TUM). Please view our
privacy policy on collecting and processing personal data in the
course of the application process pursuant to Art. 13 of the
General Data Protection Regulation of the European Union (GDPR) at
<a class="moz-txt-link-freetext" href="https://portal.mytum.de/kompass/datenschutz/Bewerbung/">https://portal.mytum.de/kompass/datenschutz/Bewerbung/</a> By
submitting your application you confirm to have read and
understood the data protection information provided by TUM.<br>
<br>
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