Technical University of Munich, Computer Science
Position ID:
2960-I18ERC [#27369]
Position Title:
Doctoral and Postdoctoral Positions in Computer Science at the Technical University of Munich (TUM)
Position Type:
Postdoctoral
Position Location:
Garching, Bayern 85748, Germany
Subject Areas:
computer science, optimization, game theory, machine learning
Appl Deadline:
2025/11/30 11:59PM
(posted 2025/10/15, listed until 2026/04/15)
(posted 2025/10/15, listed until 2026/04/15)Position Description:
Position Description
Doctoral and Postdoctoral Positions in Computer Science at the Technical University of Munich (TUM)
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
• 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:
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 available, academic reference letters
2. Curriculum Vitae, including academic transcripts and a list of publications (if applicable)
3. Research statement outlining your interests and goals.
4. If available, academic reference letters
Review of applications will begin October 30th 2025 and will continue until the positions are filled.
If you are interested, please send your complete application via email to dss@in.tum.de.
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) at TUM - Datenschutzhinweise Einstellung und Beschaeftigung. By submitting your application, you confirm to have read and understood the data protection information provided by TUM.
We are not accepting applications for this job through MathJobs.Org right now. Please dss@in.tum.de.
- Contact: M. Bichler
- Email:
- Postal Mail:
- Boltzmannstr. 3
85748 Garching
- Boltzmannstr. 3
- Web Page: www.cs.cit.tum.de/en/dss/home/