(Department of Data Science and Department of Mathematics,
Friedrich-Alexander University Erlangen-Nuremberg, Germany) is offering a
(Pre- or Post)-Doctoral Position
The group works on modeling and solving complex and very large-scale
planning and decision problems. Key expertise is in developing models
and algorithms which provable solution quality for optimization
problems, in particular under uncertainty. This involves techniques such
as mixed-integer (non-)programming and robust as well as stochastic
optimization, graph algorithms, as well as design and implementation of
global algorithms. The group is also active in third-party funded
research projects.
Your tasks:
You should be interested in doing research on structural properties of
models and in development of algorithms that integrate data-based
methods. You should also like to validate your findings in real-world
applications such as energy, logistics, and the natural sciences. The
positions come with teaching obligations in mathematics and data science.
Your qualifications:
It is expected that candidates have a sound background in one or more of
the following areas: mixed-integer linear and nonlinear optimization,
optimization under uncertainty (especially robust optimization),
discrete mathematics, mathematical data analysis. Implementing and
evaluating the developed approaches is typically required as well. You
should like to teach and to work in teams.
Job Description:
(Pre- or Post-)Doctoral position (up to 100%, German TV-L E 13 / A13)
in the Research Group is headed by Frauke Liers,
https://www.math.fau.de/wirtschaftsmathematik/team/frauke-liers/.
The position is for a period of three years, with possible extension. It
may start as soon as possible.
Your application:
Informal inquiries and applications (including letter of motivation,
CV, certificates) can be sent to frauke.liers@fau.de.
FAU is a member of "the Family in Higher Education institutions" best
practice club and also aims at increasing the number of women in
scientific positions. Female candidates are therefore particularly
encouraged to apply. In case of equal qualifications, candidates with
disabilities will take precedence.
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