Job Advertisement: Doctoral Positions
Job Advertisement: Doctoral Positions in Prof. Bichler’s team
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.”
Positions Available
We invite applications for Doctoral Researchers with a strong background in machine learning and an interest in agentic AI, online learning and optimization, and applications in economics. The 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, Information Systems, or Mathematics.
Applicants must demonstrate:
• An excellent academic record, including very good grades.
• 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 a Curriculum Vitae, including academic transcripts and a list of publications (if applicable)
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 portal.mytum.de/kompass/datenschutz/Einstellung_Beschaeftigung/. By submitting your application, you confirm to have read and understood the data protection information provided by TUM.