About this role
Summary: Conduct cutting-edge research on machine learning methods for autonomous driving, focusing on generative AI, world models, and end-to-end driving policies. Develop novel architectures for behavior prediction and evaluate methods on proprietary datasets while collaborating with engineering teams.
THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS.
PHD AT THE BMW GROUP.
Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with us through your practice-related thesis, promote your chosen specialty from within – and position yourself to secure the career you’ve always wanted.
We, the BMW Group, offer you an interesting and varied Ph.D. program in World Models and World Action Models for behavior prediction, reactive scene forecasting and driving policy optimization in the field of autonomous driving.
What awaits you?
- Conduct cutting-edge research on state-of-the-art machine learning methods, with a focus on Generative AI, world models, and End-to-End Autonomous Driving.
- Design and develop novel world action model architectures for behavior prediction, reactive scene forecasting, and driving policy learning in complex traffic environments.
- Investigate methods for modeling interactions between traffic participants and predicting the consequences of vehicle actions in closed-loop settings.
- Evaluate and benchmark developed methods on public research datasets and large-scale proprietary BMW driving datasets.
- Collaborate closely with researchers and engineers working on next-generation autonomous driving systems and decision-making frameworks.
What should you bring along?
- University degree in Computer Science, Artificial Intelligence or a related field.
- Strong background in Machine Learning, Computer Vision, Low Level Sensor Fusion, and Robotics.
- Strong experience with PyTorch / TensorFlow.
- Experience with modern development tools such as Docker and Git.
- Fluent in written and spoken English. German language skills are a plus.
- Previous publications at top tier conferences are a plus.
You are ready to solve challenging problems, bring your ideas to the team, and want to shape the future of autonomous driving? Apply now!
Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program.
If you make it through to the next round, you’ll receive an invitation to a video interview by email. Please also check your spam folder regularly.
What we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive & fair remuneration.
- Annual special payments such as vacation pay and Christmas bonus.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits - see [bmw.jobs/benefits](https://www.bmwgroup.jobs/de/en/about-us/benefits/benefits-students.html)
Earliest starting date: from now on
Duration: 36 months
Working hours: Part-time
You can find helpful tips on your application and the application process [here](https://www.bmwgroup.jobs/de/en/jobs/apply.html).
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.
Learn more [here](https://www.bmwgroup.jobs/de/en/about-us/diversity.html).