PhD - Predictive Occupancy World Models for End-to-End Autonomous Driving

Bosch Group

full-time mid Hildesheim, NDS, Germany · More jobs in Hildesheim, Lower Saxony, Germany

This job comes from Bosch Group's own careers page (see the original posting). Apply here to keep track of it, then finish on Bosch Group's site.

Apply now Log in to apply

Prefer a full account with a password? Sign Up to Apply

Job Description

The Corporate Research division is the heart of our innovation. You will be part of the Bosch Research Computer Vision and AI Lab in Hildesheim, Germany, at the forefront of developing the next generation of autonomous systems. We are looking for a passionate and creative PhD candidate to join our team and help shape the future of AI-driven mobility.

• You will develop a generic predictive occupancy model as the core representation of the driving scene, designing architectures that capture the geometry and semantics of all objects to enable an explicit understanding of 4D world dynamics.
• Furthermore, you will research, implement, and evaluate novel end-to-end (E2E) driving architectures based on predictive occupancy world models, ensuring robust situational awareness and safe navigation.
• You will develop state-of-the-art perception systems that seamlessly transform raw sensor data into rich spatial representations and driving actions, bridging the gap between perception and automated driving.
• As part of this role, you will create architectures in which driving decisions are directly based on predictive occupancy world models, ensuring spatially grounded and reliable actions.
• Last but not least, you will rigorously test your models in simulation and with real-world data, demonstrating improvements in safety, transparency, and performance, and you will publish your findings at leading AI and robotics conferences.