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.