PhD Embodied AI for Robust Multi-Modal Perception and Learning (f/m/x)

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.

 

Join us as a Ph.D. Researcher in Counterfactual Machine Learning for Intelligent Interactive Systems. At BMW Group, innovation thrives where disciplines intersect. We invite you to embark on an exciting Ph.D. journey at the forefront of Artificial Intelligence, Robotics, and Machine Learning.

What awaits you?

• Take the lead in developing Multi-Modal Perception and Learning for intelligent interactive systems and smart vehicles, ensuring robust performance across diverse conditions.
• Apply your ideas by implementing and validating advanced frameworks in robotic systems and intelligent interactive vehicles.
• Work closely with a highly specialized, international team of AI/ML and robotics experts, sharing knowledge and shaping future technologies.
• Conduct your research at the RoboTac Lab, BMW Group Research – our AI and Robotics Center of Excellence in Munich, Germany.
• Benefit from access to cutting-edge resources, including advanced hardware, robotic platforms, intelligent vehicles, high-performance computing systems, and specialized software.
• Showcase your research at leading international conferences such as ICRA, IROS, CVPR, ICML, and more.

What should you bring along?

• Master's degree in Electrical Engineering, Computer Science Mathematics, Systems, and Control, or a related field from a top international university.
• Strong mathematical background and a strong interest in robotics and robot learning, Transfer Learning, machine learning, Deep Active Learning, Multi-modal Active Perception and Learning, AI-based Control Architecture, Human-Machine Interaction.
• Extensive practical software development experience, preferably in C/C++ and Python required.
• Experience with deep learning frameworks (e.g. PyTorch, Tensorflow).
• Having at least one publication in top IEEE conferences such as ICRA, and IROS or top journals such as T-RO, AURO, RAL, etc.
• Efficient communication skills in English. German is an advantage.

You are enthused by new technologies and an innovative environment? Apply now!

Find out more about Artificial Intelligence at the BMW Group here.

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.

What we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Digital offers & mobile working.
• Attractive, fair remuneration.
• Apartment offers for students (subject to availability & only Munich).
• And many other benefits - see bmw.jobs/benefits

 

Earliest starting date: 01/02/2026

Duration: 36 months

Working hours: Full-time

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.

 

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.