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
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