[Job-offers-cs] Tenure-track assistant Professor in Combinatorial Optimization at University of Denmark

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [DMANET] (211-0014/18-2N) Tenure-track assistant Professor in 
Combinatorial Optimization at University of Denmark
Date: Fri, 21 Dec 2018 14:55:45 +0100
From: Alan.Wervick at zpr.uni-koeln.de
To: dmanet at zpr.uni-koeln.de

*Tenure-track assistant Professor in Combinatorial Optimization *
*Department of Computer Science *
* Faculty of Science *
*University of Copenhagen *

The position is open from 1 August 2019 or as soon as possible thereafter.

The assistant professor will join the department’s Image Section ( 
https://di.ku.dk/forskning/imagesection/) which hosts experts in image 
analysis, computer vision,, computer simulation, discrete optimization, 
and machine learning. The work ranges from theoretical analyses over 
algorithm development to solving concrete problems for science, industry 
and society. The section offers a research environment with much 
freedom: to a large extent, you shape the research you work on and the 
ideas you pursue. The section aspires to be a top research environment 
that bridges theory and practice.

The successful applicant will perform innovative research in the area of 
combinatorial optimization. The applicant is also expected to contribute 
to ongoing research projects within data science, involving simulation, 
bioinformatics, machine learning and image analysis, where in particular 
solving complex NP-hard problems plays a key role. Moreover, the 
applicant will contribute to basic as well as advanced courses, mainly 
in the area of algorithmic discrete optimization.

Read more about the Department at
http://www.science.ku.dk/english/about-the-faculty/organisation/.

Please find the full job advertisement at http://employment.ku.dk/.
Only electronic applications are accepted.

Application due: 2/17/2019

*Apply
<https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=148630&DepartmentId=18971&MediaId=4642&SkipAdvertisement=true>*