PhD Position in Generative AI for Intelligent Traffic Systems

, Wissenschaftliches Personal
Chair of Robotics, Artificial Intelligence and Real-Time Systems operates a state-of-the-art research infrastructure for intelligent transportation systems in the adjacent urban areas of Garching-Hochbrück near Munich. Building on this foundation, we extend toward generative and multimodal AI methods that connect simulation, perception, and control within large-scale digital twins of urban traffic systems in Munich. The focus lies on advancing semantic interpretation of complex traffic scenes, AI-based control of automated vehicle movements, and adaptive traffic management strategies that enable data-driven understanding and real-time interaction between infrastructure, vehicles, and humans.

Responsibilities

• High-quality research on generative AI methods (LLMs, VLMs, diffusion models) with a strong connection to traffic simulation, autonomous driving, and digital twin systems
• Participation in research projects, execution of project deliverables, and generation of reports
• Maintain and develop the live testbed infrastructure for real-world experimentation and demonstration
• Regular publication of results in high-impact and peer-reviewed journals and conferences
• Assistance and active participation in the drafting of research proposals and participation in periodic academic assignments at the chair

Qualifications

• Completed master’s degree in computer science, transportation, or related engineering fields
• Solid background in generative AI, machine learning, and autonomous systems
• Fluent English (spoken and written); German proficiency is a strong plus
• Ability to work independently, willingness to learn and acquire new competence
• Strong programming skills (Python, C++) and experience with machine learning frameworks
• Exposure to simulation frameworks (SUMO, CARLA) is a strong advantage

Benefits

• A full-time position within a leading research group in autonomous systems and artificial intelligence
• Participation in high-impact and visionary research projects
• Collaboration with leading research institutions in the field of intelligent mobility
• An opportunity to make a visible impact, earn a doctorate degree, and much more

The employment will be as per TV-L E13 on a fixed-term contractual basis. The Chair of Robotics, AI and Real-Time Systems at Technical University of Munich (TUM) strives to increase the proportion of women employees and therefore strongly encourages relevantly qualified women to apply. Severely disabled persons are given preference upon equal suitability and qualification.

Application

Please send your application consisting of a motivation letter, curriculum vitae, copies of your degrees and transcripts, employment certificates and any other relevant documents — all combined into one PDF file not exceeding 10 MB in size — to and latest by October 31, 2025. Please use the text Application RA_ITS_ _A in the subject field of the email and provide your expected earliest starting date. Early applications are encouraged.

Personal information submitted as part of your application will be processed in accordance with Art. 13 of GDPR. Please check the relevant TUM data protection information for details.

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

Hinweis Zum Datenschutz
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

#J-18808-Ljbffr