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

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.

Qualifications :

• Education: excellent masters degree in Computer Science Robotics Artificial Intelligence Data Science or a related field that qualifies you for doctoral studies
• Experience and Knowledge: strong expertise in Deep Learning and Computer Vision (CV) hands-on experience with modern deep learning frameworks (e.g. PyTorch) and proven Python programming skills; experience in 3D Computer Vision Occupancy Networks End-to-End (E2E) Driving World Models or Sensor Fusion is highly desirable; familiarity with autonomous driving datasets and simulation environments (e.g. CARLA) is considered an advantage
• Personality and Working Practice: you are a creative and self-driven researcher who enjoys taking ownership of challenging topics developing innovative ideas comes naturally to you and you thrive both independently and in technical discussions with colleagues
• Enthusiasm: you have a genuine passion for solving fundamental AI challenges and are driven to build systems that are not only intelligent but also trustworthy and safe
• Languages: excellent English skills German is an advantage

Additional Information :

final PhD topic is subject to your university.

Start: September 2026

Please submit all relevant documents (incl. curriculum vitae certificates).

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

Need support during your application
Celina Dannecker (Human Resources)
49 6

Need further information about the job
Holger Janßen (Functional Department)

Fabian Gigengack (Functional Department)

Simon Roesler (Functional Department)
 

Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time