Research Associate: Pde-based Optimization of Deep - Munich, Deutschland - MathHire

MathHire

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

The
Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy systems on different temporal and spatial scales.

For our new
Research Group Applied Optimization we are looking for a

Research Associate:
PDE-based optimization of deep geothermal systems

starting immediately, in full-time.

Research topic:

Deep geothermal energy is one of the key technologies to decarbonize the heating sector.

To enable efficient, reliable and sustainable use of deep geothermal well doublets, it is essential to optimize them (location, sizing, operation, etc.).

The resulting optimization problems are the so-called PDE-constrained optimization problems, since the physical processes in the underground are governed by PDEs.

To efficiently solve these mathematically challenging problems, new optimization approaches need to be developed.

Tasks:

Work in a team on a national collaborative research project, which deals with the development of a planning and optimization tool for deep geothermal systems.
You will be responsible for developing solutions in terms of methodology (optimization approaches) and implementation of the optimization tool.
Coordination of the cooperation with the project partners
Publication of results in peerreviewed journals and presentation at international conferences
Contribution to the education of students and thus support of our educational mission.

Requirements:

Above average Master's degree in applied mathematics, engineering or computational science
Enthusiasm for challenging mathematical problems and interdisciplinary collaboration
Strong mathematical skills and interest in developing new mathematical methods
Good knowledge of mathematical/numerical optimization methods
Relevant experience with programming languages (preferably Python)
You work independently, in a structured and reliable manner.
You are communicative, flexible and able to work under pressure.
Fluency in English language (writing/speaking)
German language skills are an advantage. Applicants who are already pursuing or hold a doctorate will be automatically disqualified

We offer

An interesting and challenging job in an international and dynamic team at TUM's Garching site
Flexible working hours
Individual opportunities for further training
Employment in accordance with the collective wage agreement for the civil service (TV-L E13)
Opportunity to pursue a doctorate within the framework of the work at the TUM

**Interested?