Bosch
Engineering & Manufacturing
PhD - End-to-End Trainable System for Autonomous Driving with Introspection
- Full Time
- Experience not stated
- Renningen
Pay not stated in the adYou can ask for it: EU Directive 2023/970 says the range is shared before the interview.
How this role pays elsewhere
Research, mid-level
See how this kind of role is paid, from 40 salaries published in similar ads: 2 countries.
Sign in Free for students; for companies, included in the paid plans.
About the role
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
The current state of the art in autonomous driving (AD), represented by Vision-Language-Action (VLA) models, has enabled vehicles to link perception with action in a more data-efficient way than classical End-to-End systems. Still, we are reaching the limits of VLAs: short-sightedness due to a lack of long-term prediction capabilities, no physical consistency, and limited coverage of long-tail scenarios. Therefore, another paradigm shift is required.
The aim of this research is to investigate the next generation of AD systems by moving from reactive VLA to predictive, agentic world models. The core thesis is that "imagination before action" is essential for safe and scalable autonomy.
As part of our team, you will develop a framework for integrating VLA, world models, and agentic planners into a cohesive driving system.
Furthermore, you will demonstrate improved performance in long-term prediction, edge-case handling, and verifiable safety through proactive simulation.
You will drive disruptive change in how data is prepared and large systems are trained more efficiently by focusing on unexpected scenarios.
Last but not least, you will contribute to the fundamental shift in the AD field from reactive control to imagination-based, agentic action, paving the way for more capable and trustworthy autonomous systems.
Education: excellent university degree (Master's or equivalent) in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related field
Experience and Knowledge: profound knowledge of machine learning algorithms and principles, preferably deep learning; proven programming skills in Python and C++
Personality and Working Practice: you are an open-minded team player who approaches challenges with a goal-oriented and logical mindset
Languages : fluent in English (written and spoken), German is a plus
— Published by Bosch. Apply on the employer's own posting.
- Contract
- Full Time
- Location
- Renningen, Germany
- Posted
- 10/30/2026
Skills
- machine learning
- deep learning
- simulation
- research
- python
- c++
Tools
- spark
Soft skills
- team player
- autonomy
Languages
- English
The company
Bosch
Engineering & Manufacturing
- 116 open roles here now
- 969 postings since August 2026
More roles at Bosch
- Sales Pricing Manager (w/m/div.) Schweinfurt
- Vertriebsleiter (w/m/div.) Team Bochum-Frankfurt Eschborn
- Pflichtpraktikum in der Produktkommunikation Plochingen
- Promotion - End-to-End Trainable System for Autonomous Driving with Introspection Renningen
On InTransparency your profile shows your skills next to the projects they come from, so whoever opens it sees the source.
How it worksApply on site
You'll finish your application on jobs.smartrecruiters.com