the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen,
Germany with a focus on energy system optimization.
The optimization group at FAU has more than twenty-five 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/ <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 one year
with a longer term perspective and may start as soon as July 2018.
It is expected that during their career, candidates have gained
expertise in one or more of the following areas:
- mixed-integer linear and nonlinear optimization
- optimization under uncertainty, especially robust optimization
- modeling and optimization of energy systems
You should be interested in developing and implementing optimization
algorithms.
You should also like to work in interdisciplinary teams with real-world data.
Please send applications (including cover letter, CV, list of publications, and samples of recent research) to
beate.kirchner@fau.de <mailto:beate.kirchner@fau.de>
Informal inquiries can be directed at
lars.schewe@fau.de <mailto:lars.schewe@fau.de>
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