Master Thesis Multi-Targets Distilled End-to-End Autonomous Driving (f/m/x)

Support the research and development of advanced perception and fusion strategies for end-to-end autonomous driving technologies. Conduct literature review, build and evaluate an end-to-end autonomous driving model, and contribute to publishing results.

Requirements

• Studies in computer science, electrical engineering, robotics or a related field
• Strong understanding of Transformer-based models and attention mechanisms
• Proficient programming skills in Python, PyTorch and NumPy
• Experience in configuring environments using docker, conda or python virtual environments
• Good English skills; German is a plus

Benefits

• Comprehensive mentoring & onboarding
• Personal & professional development
• Flexible working hours
• Mobile work
• Attractive & fair compensation
• Apartments for students (subject to availability & only at the Munich location)