Martin Bichler
Top university
2 months ago
PhD and Postdoctoral Positions in Optimization, Game Theory, and Machine Learning at Technical University of Munich Technical University of Munich in Germany
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Positions are fully funded, full-time (100%), initially for two years with possible extension. Salary is based on the German public sector pay scale TV-L E13, commensurate with experience and qualifications. Funding for travel and participation in international conferences and workshops is available.
Deadline
Expired
Country
Germany
University
Technical University of Munich

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Where to contact
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About this position
The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), led by Prof. Martin Bichler, is recruiting outstanding PhD and postdoctoral researchers for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics” (ELUD). The research focuses on automated market interactions, learning agents, and the design of new algorithms for computing equilibria in game-theoretic settings.
The positions are full-time, initially for two years, with the possibility of extension. Doctoral candidates must hold a Master’s degree in Computer Science or Mathematics, while postdoctoral applicants require a Ph.D. in these fields, ideally with expertise in Optimization, Game Theory, or Machine Learning. Applicants should have an excellent academic record, strong motivation, and the ability to work independently and collaboratively.
English proficiency is required; German is not necessary. The work environment is dynamic and international, located at the TUM Garching campus. The salary follows the TV-L E13 scale, and funding is available for travel and conferences.
Application materials include a motivation letter, CV, research statement, and 2–3 reference letters. The review of applications starts October 30, 2025, and continues until the positions are filled. TUM encourages applications from women and individuals who add diversity to the university.
For more information, visit the group’s website or contact [email protected].
Funding details
Positions are fully funded, full-time (100%), initially for two years with possible extension. Salary is based on the German public sector pay scale TV-L E13, commensurate with experience and qualifications. Funding for travel and participation in international conferences and workshops is available.
What's required
For Doctoral Candidates: a Master’s degree in Computer Science or Mathematics is required. For Postdoctoral Researchers: a Ph.D. in Computer Science or Mathematics, ideally with a background in Optimization, Game Theory, or Machine Learning. All applicants must demonstrate an excellent academic record with top grades and, where applicable, peer-reviewed publications. Strong motivation, intellectual curiosity, and the ability to work both independently and collaboratively are essential. Solid English communication skills (spoken and written) are required; proficiency in German is not necessary.
How to apply
Submit a motivation letter, CV with academic transcripts and publication list (if applicable), a research statement, and 2–3 academic reference letters if possible. Apply via the provided link or contact the Chair of Decision Sciences and Systems at TUM. Review of applications begins October 30, 2025, and continues until positions are filled.
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