[Job-offers-cs] PhD or postdoc position on operations research and algorithmic economics at TU Munich, Germany

Pekka Orponen pekka.orponen at aalto.fi
Fri Jan 10 17:05:20 EET 2020


-------- Forwarded Message --------
Subject: [DMANET] PhD or postdoc position on operations research and 
algorithmic economics at TU Munich, Germany
Date: Sun, 5 Jan 2020 10:53:02 +0100
From: Martin Bichler <bichler at in.tum.de>
Organization: Technical University of Munich
To: dmanet at zpr.uni-koeln.de

A PhD or postdoc position is available in the research group of Prof. 
Martin Bichler (http://dss.in.tum.de) at the Technical University of 
Munich, Germany.

We are looking for candidates with a strong interest in 
interdisciplinary research at the intersection of computer science, 
operations research, and economics. The main research themes of the 
group are market design and optimization. The candidate shall either 
work on the computation of competitive equilibria using computational 
optimization (combinatorial, convex, bilevel, etc.) or on equilibrium 
learning via machine learning techniques. Fluency in written and spoken 
English is required. Programming skills are a plus.

The position is for 2 years with the possibility of extension. There is 
sufficient travel money available to support conference and workshop 
attendance as well as research visits to other groups internationally.

The starting date is negotiable; we are interested in filling the 
position as soon as possible. The position is full-time and paid 
according to salary grade 100% TV-L E 13 (the standard rate for junior 
scientific staff at German universities; salary depends on experience 
and amounts to at least 2300 Euro net per month).

Please submit your electronic application as a single PDF file and 
include the reference "Application Equilibrium Computation" in the 
subject line.
For full consideration, apply no later than 16.02.2020 to Martin Bichler
(bi... at in.tum.de).
The official job advertisement can be found at
https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20200105_101305/index_html



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