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 Operating Theatre Management in Hospitals
in cooperation with a software company and several hospitals of all care
levels (care level I - III) in Bavaria.
The focus of the research work will be the development of optimization
models
and exact solution methods based on linear and mixed integer programming
(LP / MIP)
for the optimized planning and coordination of processes in operating
theatre management, e.g. (online) scheduling 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 multitude of uncertainties and perturbations in optimization
problems in the field of operating theatre management (deviating
surgical procedure durations, incoming medical emergencies, etc.)
will furthermore require the development of robust or stochastic
optimization approaches as well as the use of online optimization
methods.
The PhD candidate will also be part of a consortium that is funded by
the Federal Ministry of Education and Research
within the framework of the funding programme "KI-basierte
Assistenzsysteme für prozessbegleitende Gesundheitsanwendungen",
see
https://www.interaktive-technologien.de/foerderung/bekanntmachungen/kias.
Applicants should have completed their master studies in mathematics,
ideally with specialization in discrete optimization.
Prior experience with MIPs 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 group Analytics & 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 preferrably written in German,
certificates, transcript of records for BSc and MSc courses, copy of
bachelor and master thesis, etc.) in electronic form
until 30 September 2022 to:
Alexander.amr.Mueller@fau.de
Postal address:
Alexander Müller
FAU Erlangen-Nuernberg
Lehrstuhl fuer Analytics & Mixed-Integer Optimization
Cauerstrasse 11
91058 Erlangen, Germany
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