[Job-offers-cs] Post doc position in theoretical computer science

[Pekka Orponen]

-------- Forwarded Message --------

Subject: 	[DMANET] Post doc position in theoretical computer science
Date: 	Tue, 9 Nov 2021 10:14:20 +0000
From: 	Kasper Green Larsen <larsen at cs.au.dk>
To: 	dmanet at zpr.uni-koeln.de <dmanet at zpr.uni-koeln.de>



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.

Application Deadline: 15 December 2021.

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, 
https://cs.au.dk/research/algorithms-data-structures-and-foundations-of-machine-learning/ 
and Prof. Ove Christiansen (Theoretical Chemistry, Department of 
Chemistry, Aarhus University, homepage 
https://chem.au.dk/en/research/research-areas-and-research-groups/theoreticalchemistry/midas/ 
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.

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.

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 
(https://doi.org/10.1063/1.5001569 https://doi.org/10.1063/5.0037240 
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.

A link to the application form can be found here:

https://www.au.dk/om/stillinger/job/postdoc-positions-in-theoretical-computer-science-at-aarhus-university>

Best regards
Kasper Green Larsen

Associate Professor, Ph.D.
Head of Algorithms, Data Structures and
Foundations of Machine Learning
Computer Science
Aarhus University, Denmark
-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://list.aalto.fi/pipermail/job-offers-cs/attachments/20211115/35d378fe/attachment.htm