[Opt-Net] Open Post-Doctoral Position at Friedrich-Alexander-Universität Erlangen-Nürnberg

Sebastian Tschuppik Sebastian.Tschuppik at fau.de
Fri Apr 5 09:46:25 CEST 2019


Open Post-Doctoral Position

A post-doctoral position (100%, German TV-L E 14) is available in 
mathematical optimization at the Friedrich-Alexander-Universität 
Erlangen-Nürnberg (FAU), Erlangen, Germany.

The optimization group at FAU has more than 25 years of experience in 
modeling and solving complex and very large-scale planning and decision 
problems from logistics, energy, production, engineering, and the 
natural sciences, see https://www.mso.math.fau.de/de/edom/. Their key 
expertise is in developing and applying models and algorithms, which 
yield proven optimal solutions to optimization problems. This involves 
techniques like linear, nonlinear, and integer programming, robust 
optimization, graph algorithms, polyhedral combinatorics, and the like. 
Furthermore, design of efficient heuristics and exact algorithms 
together with effective implementations is key expertise. The chair EDOM 
- Economics, Discrete Optimization, Mathematics (Chair 
Wirtschaftsmathematik) consists of 20+ PhD students and Postdocs, and is 
headed by Frauke Liers and Alexander Martin. The group participates in 
many projects funded by the German Science Foundation (DFG), the German 
Federal Ministry of Education and Research (BMBF), the Federal Ministry 
for Economic Affairs and Energy (BMWi), the European Union, as well as 
by the industry.

The position is for a period of three years, with possible extension by 
another three years. It may start as soon as possible.

It is expected that during their doctoral research, candidates have 
gained research independence in one or more of the following areas:

- mixed-integer linear and nonlinear optimization,
- optimization under uncertainty, especially robust optimization,
- discrete mathematics,
- nonlinear optimization,
- mathematical data science.

You should be interested in doing research on optimization models and 
methods. You should also like to validate them in real-world 
applications such as energy, logistics, and analytics. You should like 
to work in teams and should like to participate in coordinating research 
projects.

Candidates with background in pure mathematics are also welcome if they 
can prove interest in transfering their theory to solve applied problems.

Informal inquiries and applications (including cover letter and short 
research statement, publications, CV, certificates) can be sent to

edom-office at fau.de



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