The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), under the leadership of Professor Martin Bichler, is recruiting Doctoral Researchers for the ERC Advanced Grant project titled “Equilibrium Learning, Uncertainty, and Dynamics.” This newly established research team will focus on cutting-edge topics in machine learning, agentic AI, online learning, optimization, and their applications in economics. The positions are full-time (100%) and initially offered for two years, with the possibility of extension based on performance and project requirements. Successful candidates will join a vibrant, interdisciplinary, and international research community at the TUM Garching campus, within the Department of Computer Science and the TUM School of Computation, Information and Technology (CIT). Responsibilities include collaborative research within the team and with external partners, contributing to teaching activities, and active engagement in the academic life of the group. Applicants must hold a Master’s degree in Computer Science, Information Systems, or Mathematics, and demonstrate an excellent academic record, strong motivation, intellectual curiosity, and the ability to work independently and collaboratively. Solid English communication skills are required, while proficiency in German is not necessary. Employment conditions include a salary based on the German public sector pay scale TV-L E13, commensurate with experience and qualifications, and funding for travel and participation in international conferences and workshops. The start date is flexible, beginning from January 2026 onward. TUM is an equal opportunity employer and encourages applications from women and individuals who would bring additional diversity to the university. To apply, candidates should submit a Curriculum Vitae, academic transcripts, and a list of publications (if applicable) via email to [email protected]. Review of applications will begin on October 30th, 2025 and continue until the positions are filled. Applicants are advised to review the TUM privacy policy regarding personal data processing as part of the application process.

The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), led by Prof. Martin Bichler, is recruiting outstanding PhD and postdoctoral researchers for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics” (ELUD). The research focuses on automated market interactions, learning agents, and the design of new algorithms for computing equilibria in game-theoretic settings. The positions are full-time, initially for two years, with the possibility of extension. Doctoral candidates must hold a Master’s degree in Computer Science or Mathematics, while postdoctoral applicants require a Ph.D. in these fields, ideally with expertise in Optimization, Game Theory, or Machine Learning. Applicants should have an excellent academic record, strong motivation, and the ability to work independently and collaboratively. English proficiency is required; German is not necessary. The work environment is dynamic and international, located at the TUM Garching campus. The salary follows the TV-L E13 scale, and funding is available for travel and conferences. Application materials include a motivation letter, CV, research statement, and 2–3 reference letters. The review of applications starts October 30, 2025, and continues until the positions are filled. TUM encourages applications from women and individuals who add diversity to the university. For more information, visit the group’s website or contact [email protected].