[Opt-Net] Pre- or Postdoctoral position available

[Frauke Liers]

The Research Group Optimization under Uncertainty and Data Analysis 
(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 at 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.