[Job-offers-cs] Doctoral and Postdoctoral Positions in Equilibrium Learning at the Technical University of Munich

[Pekka Orponen]

The Chair of Decision Sciences and Systems at the Technical University 
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 at 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/