Academic staff
The Chair of Renewable and Sustainable Energy Systems at the Technical University of Munich (TUM) is seeking a research assistant (up to TV-L E13, fixed-term) with the opportunity to pursue a Ph.D. The focus is on energy modeling, data-driven planning approaches, and the development of innovative data infrastructures for national and municipal energy planning. Candidates should have experience in energy modeling, data analysis, and modern data processing, as well as a passion for teaching and teamwork.
The Chair focuses on energy system modelling across a wide range of temporal and geographical scales to understand technical and organizational transformation. New modelling approaches are developed that satisfy technical and physical constraints while incorporating societal and economic aspects.
We offer a full-time position as a Research Associate with the opportunity to pursue a doctoral degree. The position is initially limited in time. Employment and remuneration are in accordance with the collective agreement for the public service of the German federal states (TV-L), up to pay grade E13.
TUM is committed to increasing the proportion of women in academia. Applications from women are therefore expressly encouraged.
We look forward to receiving your complete and informative application documents. Please send them by e-mail to: with the subject line: NEED2026. Please submit your application by 17 April 2026.
If you submit a written application, please send copies only, as application documents cannot be returned after the completion of the selection process.
Technische Universität München
Lehrstuhl für Erneuerbare und Nachhaltige Energiesysteme
Prof. Dr. rer. nat. Thomas Hamacher
Lichtenbergstraße 4a, 85748 Garching
Tel.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Veröffentlichungsdatum:
19 Apr 2026Standort:
MünchenEinsatzort:
Technische Universität München, Arcisstraße 21, 80333 München, DeutschlandTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
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