[Opt-Net] PhD Position in Mathematics (Discrete Optimization)

[Andreas Bärmann]

The research group Analytics & Mixed-Integer Optimization at
Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU), Germany,
invites applications for a full-time (100% TV-L E13)

PhD Position in Mathematics (Discrete Optimization)

at the Department of Data Science / Mathematics. The position is to be 
filled as soon as possible for an initial period of three years. The 
successful applicant will work in a research project on the

Optimization of Logistics and Production Processes in the Food Industry

in cooperation with a variety of companies from the food sector. The 
focus of the project will be the development of optimization models and 
exact solution methods from mixed-integer linear and non-linear 
programming (MIP / MINLP) for the optimal allocation of resources in 
food production and transport, such as mixture/pooling problems. The 
mathematical work in this project will focus on the structural analysis 
and algorithm development for these problems, drawing e.g. upon 
polyhedral analysis, graph theory and decomposition methods. The 
treatment of data uncertainties occurring in these problems will likely 
require the development of robust or stochastic optimization approaches. 
The PhD candidate will also be part of the Ada Lovelace Center for 
Analytics, Data and Applications, a research network on artificial 
intelligence founded by Fraunhofer, FAU and LMU Munich, see 
https://www.ada-lovelace-center.de

Applicants should have completed their master studies in mathematics, 
ideally with specialization in discrete optimization. Prior experience 
with MINLPs is desired but not a requirement. Applicants should have 
programming experience, e.g. in Python, and should have experience in 
the use of optimization solvers like Gurobi, CPLEX or SCIP. Fluency in 
both German and English is required. We seek excellent, open-minded and 
team-spirited PhD candidates who are interested in both the theory of 
discrete optimization as well as the practical solution of optimization 
problems in cooperation with industry.

The research groupAnalytics & Mixed-Integer Optimization at FAU focusses 
on the development of mathematical optimization models for industrial 
applications. This includes the theoretical analysis of the models, the 
design and implementation of efficient solution algorithms and their 
transfer into practice. Especially, we use techniques from mixed-integer 
linear and non-linear optimization, combined with methods from robust, 
stochastic, multilevel and combinatorial optimization. Our application 
partners come from all sectors of industry, e.g. logistics and 
production, mobility or energy systems. For further information, e.g. 
about our team and current research projects, see our homepage:
https://www.edom.fau.de

Please send your complete application documents (motivation letter and 
detailed CV written in German, transcript of records for BSc and MSc 
courses, copy of bachelor and master thesis, certificates, etc.) in 
electronic form
until 30 September 2021 to:
Andreas.Baermann at fau.de


Postal address:
Dr. Andreas Baermann
FAU Erlangen-Nuernberg
Lehrstuhl fuer Analytics & Mixed-Integer Optimization
Cauerstrasse 11
91058 Erlangen, Germany

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