Bosch PhD Position in Predictive Occupancy World Models for End-to-End Autonomous Driving
Robert Bosch GmbH
Robert Bosch GmbH is recruiting a Ph.D. candidate for the Bosch Research Computer Vision and AI Lab in Hildesheim, Germany. The project develops predictive occupancy world models and end-to-end driving architectures for spatially grounded, transparent and safe autonomous driving. The stated start is September 2026.
Robert Bosch GmbH is recruiting a Ph.D. candidate to join the Bosch Research Computer Vision and AI Lab in Hildesheim, Germany. The official vacancy is a limited contract advertised for full-time or part-time work, with a stated start in September 2026.
The project will develop predictive occupancy world models as a central representation for end-to-end autonomous driving. Research responsibilities include:
- Developing generic predictive occupancy models that represent the geometry and semantics of objects and capture 4D world dynamics.
- Researching, implementing and evaluating end-to-end driving architectures built on predictive occupancy world models.
- Transforming raw sensor data into rich spatial representations and driving actions.
- Designing driving-decision architectures that use predictive occupancy representations for spatially grounded and reliable actions.
- Testing models in simulation and with real-world data to assess safety, transparency and performance.
- Publishing results at leading artificial-intelligence and robotics conferences.
The LinkedIn announcement describes potential academic collaboration with Holger Caesar, Benjamin Risse and Fabian Gigengack. Bosch states that the final Ph.D. topic is subject to the participating university; applicants should confirm the doctoral-awarding institution, supervisory arrangement and enrolment obligations during selection.
Official vacancy: Bosch reference REF293064X, published July 31, 2026. Apply through Bosch's SmartRecruiters page while the vacancy remains open.
Source and verification
Check the current official call before applying
Recorded source check: August 12, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.
Benefits
- Limited Ph.D. employment position with Robert Bosch GmbH in Hildesheim.
- Full-time or part-time working arrangement according to the official vacancy metadata.
- Research within the Bosch Research Computer Vision and AI Lab.
- Access to simulation and real-world autonomous-driving research data and systems.
- Opportunity to publish at leading AI and robotics conferences and collaborate with academic researchers.
Compensation clarification: this is an employment vacancy, but Bosch does not state the salary, contract duration, doctoral tuition or enrolment costs, relocation support, visa assistance or benefits package in the public advertisement. Applicants should obtain the full written employment and university terms before accepting.
Eligibility summary
- Excellent master's degree in Computer Science, Robotics, Artificial Intelligence, Data Science or a related discipline that qualifies the applicant for doctoral study.
- Strong expertise in deep learning and computer vision.
- Hands-on experience with a modern deep-learning framework such as PyTorch.
- Proven Python programming skills.
- Experience in 3D computer vision, occupancy networks, end-to-end driving, world models or sensor fusion is highly desirable.
- Familiarity with autonomous-driving datasets and simulation environments such as CARLA is advantageous.
- Excellent English is required; German is an advantage.
- Applicants should be creative, self-driven and capable of independent research and technical collaboration.
The official advertisement welcomes applications regardless of gender, age, disability, religion, ethnic origin or sexual identity. It does not publish nationality or work-authorisation rules; international candidates should confirm German employment, residence-permit and doctoral-enrolment conditions before accepting an offer.
Requirements
- Apply using the official Bosch SmartRecruiters vacancy.
- Submit all relevant documents, including a curriculum vitae and academic certificates.
- Show evidence of doctoral eligibility and strong preparation in computer vision, deep learning and Python.
- Highlight relevant work in 3D perception, occupancy modelling, end-to-end driving, world models, sensor fusion, autonomous-driving datasets or CARLA.
- Confirm the university, academic supervisors, final doctoral topic and any separate university application or enrolment requirements during selection.
Documents required
- Current curriculum vitae.
- Degree certificates and relevant academic records.
- Any additional research, publication, reference, identity, work-authorisation or university-enrolment documents requested through the Bosch recruitment process.
Language/test requirements
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