Phd Position: Pde-based Optimization of Deep

vor 7 Monaten


Munich, Deutschland Technische Universität München Vollzeit

**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.**

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 peer-reviewed 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 engineering, applied mathematics or computational science
- Good knowledge of mathematical/numerical optimization methods
- Strong mathematical skills and interest in developing new mathematical methods
- Enthusiasm for challenging mathematical problems and interdisciplinary collaboration
- 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)
- Pursuing a doctorate within the framework of the work at the TUM

**Interested?**

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

**Hinweis zum Datenschutz**:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.



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