FY27 PhD Internship: Data-Centric AI for End-to-End Autonomous Driving - 6 months, Munich, Unterschleißheim, Germany
Core
Develop data-centric AI techniques to automatically identify model weaknesses and translate real-world driving failures into improved training datasets for end-to-end autonomous driving systems.
Role type
PhD Research Intern (Data-Centric AI for Autonomous Driving)
Builds
Scalable data-flywheel systems connecting vehicle evaluation, failure discovery, intelligent data selection, and model retraining.
Domain
Autonomous Driving, End-to-End AI, Vision-Language Models
Deliverable
research
Required skills
Machine learning, Deep learning, PyTorch, Python, Computer vision, Autonomous driving, Multimodal/Vision-Language Models, Robotics
Preferred skills
End-to-end autonomous driving research, Behavior prediction, Trajectory prediction, VLMs/Foundation models, Large-scale dataset curation, Closed-loop simulation, Publications at top ML/CV venues