Technical University of Munich
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Research Associate and Doctoral Candidate in Economically Optimal and Grid-Friendly Battery Energy Storage Operation Technical University of Munich in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 8, 2026
Country
Germany
University
Technical University of Munich

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About this position
Technical University of Munich (TUM), School of Engineering and Design, is advertising a Research Associate and Doctoral Candidate (f/m/d) for a project on the economically optimal and grid-friendly operation of battery energy storage.
The position is based at the Professorship of Energy Management Technologies and focuses on research for the optimal control of large-scale battery storage systems under distribution network constraints. The project is funded by the Federal Ministry for Economic Affairs and Energy and involves companies, cooperatives, and research organizations.
Research topics include energy storage control, optimization, machine learning, energy management systems, and simulation of battery storage and distribution networks. The team develops model-based mathematical optimization and ML-based methods to operate storage systems in a way that is both economically optimal in electricity markets and beneficial for the grid.
The role also includes support for teaching in Bachelor’s and Master’s programs, preparation of teaching materials, assistance in lectures and lab courses, and supervision of student research.
Eligibility highlights: an above-average master’s degree in Electrical Engineering, practical experience in optimization and control of energy systems, good software engineering skills, first experience with machine learning, strong interest in energy technology, very good English, and good German.
Funding/employment: TV-L 13, initially limited to 2 years, with further employment possible and intended. The post supports doctoral dissertation work.
Application deadline: 2026-09-08. Apply by email with one single PDF containing CV, complete transcripts, letters of reference, and Bachelor’s/Master’s thesis documents.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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