PhD Development and Evaluation of World Action Models for Autonomous Driving (f/m/x)
Core
Conduct cutting-edge research on state-of-the-art machine learning methods, specifically Generative AI, world models, and End-to-End Autonomous Driving for behavior prediction and driving policy optimization.
Role type
PhD Researcher (Autonomous Driving / World Models)
Builds
Novel world action model architectures for behavior prediction, reactive scene forecasting, and driving policy learning.
Domain
Autonomous Driving / Generative AI / Machine Learning
Deliverable
research
Required skills
Machine Learning, Computer Vision, Low Level Sensor Fusion, Robotics, PyTorch, TensorFlow, Docker, Git
Responsibilities
Design and develop novel world action model architectures; Investigate methods for modeling interactions between traffic participants; Evaluate and benchmark developed methods on public and proprietary datasets; Collaborate with researchers and engineers on autonomous driving systems.