Doctoral and Postdoctoral Positions in Computer Science @ TUM

Doctoral and Postdoctoral Positions in Computer Science @ TUM

29.09., Academic staff

The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), led by Prof. Martin Bichler, is seeking outstanding candidates to join the newly established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics.

(Please find a German version below the English text.)

The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), led by Prof. Martin Bichler, is seeking outstanding candidates to join the newly established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics.”

About the Project

Market interaction is increasingly automated by artificial learning agents. Examples include pricing agents in electronic retail or bidding agents in display-advertising auctions. The economic properties of such systems are still poorly understood. In general, learning procedures in game-theoretic problems can exhibit cyclic behavior or even lead to chaotic dynamics. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing equilibria.

Positions Available

We invite applications for Doctoral Researchers (Ph.D Candidates) and Postdoctoral Researchers

These full-time positions (%) are initially offered for two years, with the possibility of extension, depending on performance and project needs.

Qualifications

• For Doctoral Candidates: Master’s degree in Computer Science or Mathematics.

• For Postdoctoral Researchers: Ph.D. in Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning

Applicants must demonstrate:

• An excellent academic record, including top grades and, where applicable, peer-reviewed publications.

• 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.

Responsibilities include collaborative research within the team and with external partners, contribution to teaching activities, and 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 onward

• Salary: 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.

Application Procedure

Please submit the requested documents:

1. Motivation letter

2. Curriculum Vitae, including academic transcripts and a list of publications (if applicable)

3. Research statement outlining your interests and goals.

4. If possible, 2–3 academic reference letters

Review of applications will begin October 30th and will continue until the positions are filled.

As an equal opportunity employer, TUM explicitly encourages applications from women and all others who would bring additional diversity dimensions to the university.