[Master Thesis with Bosch R&D] Reinforcement Learning for Behavior Planning in Automated Driving

11.05.2026, Diplomarbeiten, Bachelor- und Masterarbeiten

Work on cutting-edge AI topics during your thesis and gain hands-on experience in an innovative environment. Ready to make an impact? Apply now and shape the future of automated driving!

Work on cutting-edge AI topics during your thesis and gain hands-on experience in an innovative environment. Ready to make an impact? Apply now and shape the future of automated driving!

>During your thesis, you will review scientific literature on state-of-the-art approaches to behavior planning in automated driving, with a particular focus on Reinforcement Learning (RL).
>You will become familiar with available open-source datasets as well as training and simulation frameworks used in autonomous driving.
>Building on this foundation, you will design novel training methodologies and apply them to train high-performance AI planners for autonomous driving applications.
>By integrating Imitation Learning (IL) and Reinforcement Learning, you will leverage the advantages of both approaches within a combined framework.
>Throughout your work, you will ensure well-structured technical documentation and maintain clean code.

Qualifications
>Education: Master studies in the field of Computer Science, Artificial Intelligence, Robotics, Mechatronics or comparable with very good grades
>Experience and Knowledge:
>>familiarity with behavior planning for automated driving, and in particular, with AI-based planners
>>strong theoretical background in Imitation Learning (IL) and Reinforcement Learning (RL)
>>excellent programming skills in Python
>>knowledge of collaborative coding and software development platforms, such as GitHub
>>C++ skills considered a plus
>Personality and Working Practice: you are highly motivated, open to collaboration and teamwork, and equipped with excellent communication skills
>Work Routine: your on-site presence is required
>Languages: fluent in English

Additional Information

>Start: according to prior agreement
>Duration: 6 months
>Place: Robert-Bosch-Campus 1, 71272 Renningen, Germany

If you are interested, please send a short motivation letter, CV, and transcript of records to: yuan_avs.gao@tum.de

Kontakt: yuan_avs.gao@tum.de