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<p>-------- Forwarded Message --------</p>
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<td>[DMANET] Post doc position in theoretical computer
science</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Tue, 9 Nov 2021 10:14:20 +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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<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>
There is an open 21 month post doc position at the Department of
Computer Science Aarhus University. The start date is 01.04.2022
or after mutual agreement.<br>
<br>
Application Deadline: 15 December 2021.<br>
<br>
We are seeking candidates with strong interest and expertise in
algorithm development in relation to a new project on developing
tensor based algorithms for usage in chemistry using a combined
computer science and theoretical chemistry perspective. The
project will involve working in a focused team including Assoc.
Prof. Kasper Green Larsen (Algorithms, Data Structures and
Foundations of Machine Learning, Department of Computer Science,
Aarhus University,
<a class="moz-txt-link-freetext" href="https://cs.au.dk/research/algorithms-data-structures-and-foundations-of-machine-learning/">https://cs.au.dk/research/algorithms-data-structures-and-foundations-of-machine-learning/</a>
and Prof. Ove Christiansen (Theoretical Chemistry, Department of
Chemistry, Aarhus University, homepage
<a class="moz-txt-link-freetext" href="https://chem.au.dk/en/research/research-areas-and-research-groups/theoreticalchemistry/midas/">https://chem.au.dk/en/research/research-areas-and-research-groups/theoreticalchemistry/midas/</a>
and two post docs. This is the job add for one of these postdoc
positions. This team is embedded in the bigger Larsen and
Christiansen groups at the computer science and chemistry
departments at Aarhus University.<br>
<br>
The ideal candidate has a Ph.D. degree in theoretical Computer
Science, Chemistry, Physics, or related disciplines. Important
background includes strong analytical abilities and expert
programming skills. Collaborative skills are necessary as well as
a high level of independence. Other key-words of notice are
numerical linear algebra, sketching, dimensionality reduction,
tensors, iterative algorithms. Previous experience with C++
programming will be considered an advantage.<br>
<br>
The project team will develop, test, and apply methods for tensor
decomposition. A key focus point is the CANDECOMP/PARAFAC (CP)
decomposition. We will develop new and more efficient and accurate
CP based algorithms that can have a large impact in theoretical
chemical computations. One target is supporting efficient
computation of energies, spectra, and wave functions for nuclear
motion (<a class="moz-txt-link-freetext" href="https://doi.org/10.1063/1.5001569">https://doi.org/10.1063/1.5001569</a>
<a class="moz-txt-link-freetext" href="https://doi.org/10.1063/5.0037240">https://doi.org/10.1063/5.0037240</a> Another focus point is the
exploration of novel alternative tensor formats, their
generalizations, and efficient algorithms. Finally, tensor
decomposition as a tool for analysing experimental data will be
considered.<br>
<br>
A link to the application form can be found here:<br>
<br>
<a class="moz-txt-link-freetext" href="https://www.au.dk/om/stillinger/job/postdoc-positions-in-theoretical-computer-science-at-aarhus-university">https://www.au.dk/om/stillinger/job/postdoc-positions-in-theoretical-computer-science-at-aarhus-university</a>><br>
<br>
Best regards<br>
Kasper Green Larsen<br>
<br>
Associate Professor, Ph.D.<br>
Head of Algorithms, Data Structures and<br>
Foundations of Machine Learning<br>
Computer Science<br>
Aarhus University, Denmark<br>
<br>
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