of Munich (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."
**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 (100%) 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 2026 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 to dss@in.tum.de:
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 2025 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.
As part of your application, you provide personal data to the Technical
University of Munich (TUM). Please view our privacy policy on collecting
and processing personal data in the course of the application process
pursuant to Art. 13 of the General Data Protection Regulation of the
European Union (GDPR). By submitting your application, you confirm to
have read and understood the data protection information provided by
TUM.
--
Prof. Dr. Martin Bichler
School of Computation, Information and Technology
Munich Data Science Institute
Technical University of Munich
https://www.cs.cit.tum.de/en/dss/
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