Master Thesis Automated Driving Systems
Core
Implement, integrate, and evaluate cutting-edge algorithms for perception and planning modules in an Automated Driving System, focusing on Machine Learning, End-to-End systems, and Foundation Models (VLM, VLA) running in real-time on a prototype vehicle.
Role type
Master Thesis Researcher (Automated Driving Systems)
Builds
Real-time perception and planning algorithms for automated driving prototypes
Domain
Automotive / Autonomous Driving / Machine Learning
Deliverable
production ML models
Required skills
Python, C++, ROS, Machine Learning libraries
Preferred skills
End-to-End systems, Foundation Models, Vision Language Models (VLM), Vision Language Agents (VLA), system-in-the-loop simulation
Technologies
ROS, Python, C++, VLM, VLA
Responsibilities
Implement algorithms for perception or function and planning modules; Integrate algorithms into the complete stack of an Automated Driving System; Evaluate algorithms in system-in-the-loop simulation and on reference tracks; Work in an agile research team
Seniority
Master's level (PreMaster/Entry-level Research)