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<p>-------- Forwarded Message --------</p>
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<td>[DMANET] Post doc position in theoretical aspects of
machine learning at Computer Science, Aarhus University</td>
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<td>Mon, 10 Oct 2022 07:06:08 +0000</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Kasper Green Larsen <a class="moz-txt-link-rfc2396E" href="mailto:larsen@cs.au.dk"><larsen@cs.au.dk></a></td>
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<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>
A post doc position in theoretical aspects of machine learning is<br>
available. The post doc is under the supervision of Professor
Kasper<br>
Green Larsen, Aarhus University, Denmark.<br>
<br>
The focus of the research project is on developing and<br>
analyzing machine learning algorithms in terms of their
generalization<br>
performance.<br>
<br>
Candidates with expertise in theoretical computer science<br>
and/or machine learning are preferred.<br>
<br>
The candidate is expected to work on theoretical research
questions in<br>
machine learning. The research is carried out in collaboration
with<br>
Kasper as well as Ph.D. students and post docs in the group.<br>
<br>
The candidate is expected to have a strong theoretical background<br>
to carry out proofs independently or with minor guidance.<br>
<br>
It is not expected that the candidate will do implementations,
however, if the<br>
candidate wishes to do so, and it is natural in the project, then<br>
implementation work is most welcome.<br>
<br>
In addition to research, there may be minor teaching activities,
such as presenting at seminars in the research group or guiding
Ph.D. students in joint projects.<br>
<br>
Candidates must have expertise in machine learning and/or
theoretical<br>
computer science. Publications at top venues in ML, such as ICML
and NeurIPS, or top TCS venues such as STOC, FOCS, SODA, ICALP are
appreciated.<br>
<br>
The daily work will be carried out in the Algorithms, Data
Structures and Foundations of Machine Learning group at Aarhus
University, Denmark.<br>
<br>
The group is headed by Kasper Green Larsen and also includes
faculty members Professor Gerth S. Brodal, Associate Professor
Peyman Afshani and Assistant Professor Chris<br>
Schwiegelshohn as well as Ph.D. students and post docs.<br>
<br>
The group also collaborates closely with the Game Theory and
Complexity group<br>
consisting of faculty members Prof. Iannis Caragiannis, Assoc.
Prof. Srikanth Srinivasan and Assoc. Prof. Kristoffer Arnsfelt
Hansen.<br>
<br>
The project is funded by a DIREC - Digital Research Centre
Denmark.<br>
<br>
The position is available from February 1st, 2023 or earlier (a
later start date may be negotiated). The position is for 1 year.<br>
<br>
The application deadline for the position is December 1st,<br>
2022. Applicants should apply online via our recruitment system by<br>
sending a letter of interest and a CV, as well as indicate at
least<br>
two names of references for recommendations.<br>
<br>
The application must be submitted through the online system at:<br>
<br>
<a class="moz-txt-link-freetext" href="https://international.au.dk/about/profile/vacant-positions/job/post-doc-position-in-theoretical-aspects-of-machine-learning-at-computer-science-aarhus-university">https://international.au.dk/about/profile/vacant-positions/job/post-doc-position-in-theoretical-aspects-of-machine-learning-at-computer-science-aarhus-university</a>><br>
Questions regarding the position should be directed to Professor
Kasper Green Larsen (<a class="moz-txt-link-abbreviated" href="mailto:larsen@cs.au.dk">larsen@cs.au.dk</a>)<br>
<br>
The place of work will be Dept. of Computer Science, Aarhus
University, Aabogade 34, DK8200 Aarhus, Denmark.<br>
<br>
Mvh/Best Regards<br>
<br>
Kasper Green Larsen<br>
Professor, Ph.D.<br>
Head of Algorithms, Data Structures<br>
and Foundations of Machine Learning<br>
<br>
Aarhus University<br>
Department of Computer Science<br>
Aabogade 34, 8200 Aarhus N<br>
Phone: (+45) 2857 0725<br>
<a class="moz-txt-link-freetext" href="https://www.cs.au.dk/~larsen">https://www.cs.au.dk/~larsen</a>><br>
<br>
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