Doctoral Position at TUM, Deep Reinforcement Learning and Agentic AI

vor 10 Stunden

Munich, Deutschland Technical University of Munich Vollzeit

Doctoral Position at TUM, Deep Reinforcement Learning and Agentic AI 04.12., Wissenschaftliches Personal Der Lehrstuhl für Decision Sciences and Systems an der Technischen Universität München (TUM), geleitet von Prof. Martin Bichler, sucht eine Doktorandinnen oder einen Doktoranden für das neu eingerichtete Forschungsteam im Rahmen des ERC Advanced Grant Projekts „Equilibrium Learning, Uncertainty, and Dynamics“. Schwerpunkte der Forschung liegen auf Deep Reinforcement Learning in Spielen und auf Agentic AI. 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, deep reinforcement learning, and applications in economics. The full-time positions (%) 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 February 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) As an equal opportunity employer, TUM explicitly encourages applications from women and all others who would bring additional diversity dimensions to the university.

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