PhD – Neural 3D scene representations for vehicle interiors (f/m/div.)

Role Summary

At Bosch Research, we are driving the next generation of physical AI: intelligent systems that can perceive their real-world environment, reason about it, and act robustly. As vehicles become increasingly shared, automated and software-defined, understanding what happens inside the vehicle becomes as important as understanding the road in front of the vehicle. The ability to detect the position, posture and movement of occupants is becoming both a regulatory requirement and a key enabler for future safety and comfort functions. However, current perception systems largely treat the vehicle interior and the exterior environment as separate domains, limiting their ability to form a consistent three-dimensional understanding of the interior from the small number of cameras that can realistically be deployed in a vehicle.

In this doctoral project, you will examine neural 3D scene representations, including Neural Radiance Fields, Gaussian Splatting and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike outdoor environments where a moving sensor observes a largely static scene, the vehicle interior presents the opposite scenario: the structure is fixed and known, while the occupants are the primary source of movement and exhibit articulated, deformable and continuously changing movement patterns. You use this asymmetry as an advantage by using the known interior geometry as integrated supervision and incorporating modern 3D-aware diffusion models as learned priors. Her research focuses on reliably reconstructing inmates from just one to three fixed camera perspectives.

A central goal of the project is to create a unified representation of the vehicle interior and the external environment. This will enable future end-to-end ADAS systems to be trained and validated while simultaneously making inferences about passengers and the surrounding traffic situation. As part of Bosch Research, you will work at the forefront of AI innovation while contributing to real-world industrial applications. You will help develop a new capability that combines understanding of indoor and outdoor scenes and work closely with leading experts from academia and industry to translate these advances into future safety-critical products. Her work combines fundamental research in 3D computer vision and generative modeling with the practical goal of making vehicles safer for everyone on board.

Personality and way of working

You combine a proactive and highly motivated attitude with the ability to move confidently in complex technical environments

Languages

Good knowledge of spoken and written English

Requirements

Education

Very good master's degree in computer science or a comparable field of study

Experience and knowledge

• Experience in machine learning with PyTorch, ideally with vision-based models and neural scene representation
• Very good programming skills in Python as well as in-depth knowledge of computer vision and 3D geometry, including camera models, projective geometry and multi-view constraints
• Familiarity with 3D scene representations (e.g. NeRF, Gaussian Splatting, implicit occupancy networks) or depth and 3D estimation methods is strongly desired
• Initial contact with differentiable rendering or the estimation of articulated human poses is an advantage

Benefits

• https: www.bosch-ai.com www.bosch.com Research
• The final doctoral topic (Ph.D.) is determined by the supervising university.

Start: October 2026

• Please submit all relevant documents (including CV, certificates).
• For us, diversity and inclusion are not just trends, they are firmly anchored in our corporate culture. We therefore welcome all applications – regardless of gender, age, disability, religion, ethnic origin or sexual identity.

About the Company

At Bosch, we shape the future by developing high-quality technologies and services that inspire and enrich people's lives. Our promise to our employees is rock solid: We grow together, we enjoy our work and we inspire each other. Welcome to Bosch. Robert Bosch GmbH looks forward to your application!

Do you need further information about the position?

Matthias Wacker (Department)

49 5121 49 2129

Work #LikeABosch starts here: Apply now!

Additional Information

Do you need support during your application?

Celina Dannecker (Human Resources)

49 711 811 21346