the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen,
Germany.
The optimization group at FAU has more than fifteen 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, Alexander Martin, Lars Schewe, and Martin
Schmidt. 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), as well as by the industry.
The positions are for a period of at least three years and may start
as soon as January 2018.
It is expected that during their studies, candidates have gained
expertise in one or more of the following areas:
- mixed-integer linear and nonlinear optimization
- optimization under uncertainty, especially robust optimization
- discrete mathematics
You should be interested in developing and implementing optimization
algorithms. You should also like to validate them in real-world
applications.
The positions are available within research projects in different
fields of application, such as energy, logistics, and analytics.
Informal inquiries and applications (including cover letter, CV,
certificates, Transcript of Records) can be sent to
gabriele.elisabeth.bittner@fau.de
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