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About the position
The Chair of Decision Sciences and Systems at TUM, led by Prof. Martin Bichler, is seeking candidates to join the newly established research team for the ERC Advanced Grant project "Equilibrium Learning, Uncertainty, and Dynamics" (ELUD). This project investigates the economic properties of automated market interactions driven by artificial learning agents, such as pricing agents in retail and bidding agents in advertising auctions. The project aims to understand the convergence of learning agents to efficient equilibriums and to design new algorithms for computing equilibria.
Positions Available:
Doctoral Researchers (Ph.D. Candidates)
Postdoctoral Researchers
These full-time positions (100%) are initially offered for two years, with the possibility of extension based on performance and project needs.
Responsibilities:
Collaborative research within the team and with external partners.
Contribution to teaching activities.
Active engagement in the broader academic life of the group.
Work Environment:
The successful candidates will join a dynamic, interdisciplinary, and international research community at the TUM Garching campus. TUM's Department of Computer Science is part of the TUM School of Computation, Information and Technology (CIT).
Employment Conditions:
Start Date: Flexible, from January 2026 onward.
Salary: Based on the German public sector pay scale TV-L E13, commensurate with experience and qualifications.
Funding: Available for travel and participation in international conferences and workshops.
TUM is an equal opportunity employer and explicitly encourages applications from women and all others who would bring additional diversity dimensions to the university.
By submitting your application, you confirm that you have read and understood the data protection information provided by TUM. For more details on TUM's privacy policy regarding the collection and processing of personal data during the application process, please refer to the General Data Protection Regulation of the European Union (GDPR).
Requirement
Doctoral Candidates: Master's degree in Computer Science or Mathematics.
Postdoctoral Researchers: Ph.D. in Computer Science or Mathematics, ideally with a background in Optimization, Game Theory, or Machine Learning.
Applicants must demonstrate:
An excellent academic record, including top grades and peer-reviewed publications (if applicable).
Strong motivation, intellectual curiosity, and the ability to work independently and collaboratively.
Solid English communication skills (spoken and written). Proficiency in German is not required.
Application date
The review of applications will begin on October 30, 2025, and will continue until the positions are filled.
How to apply
Please submit the following documents to dss@in.tum.de:
Motivation letter
Curriculum Vitae, including academic transcripts and a list of publications (if applicable)
Research statement outlining your interests and goals
If possible, 2–3 academic reference letters
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