PhD World Models & Visuo-Tactile Foundation Models for Embodied Robotics & Physical AI (f/m/x)

BMW AG; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Digital offers & mobile working

Apartment offers in Munich

Zusammenfassung

BMW Group invites applications for a Ph.D. researcher position in Counterfactual Machine Learning for Intelligent Interactive Systems at the RoboTac Lab in Munich. You will explore multi-modal learning for smart vehicles and contribute to real-world mobility challenges with cutting-edge AI and robotics.

The program offers mentoring, flexibility, and opportunities to present at major conferences while collaborating with a global research community.

Qualifikationen

• Master's degree in a related field from a top international university.
• Strong mathematical background and interest in robotics and robot learning.
• Experience with PyTorch and TensorFlow frameworks.
• At least one publication in top IEEE conferences or journals.
• Fluent English; German is a plus.

Aufgaben

• Lead research in Counterfactual ML for intelligent interactive systems at RoboTac Lab, BMW Group Research.
• Develop and validate multi-modal perception and learning frameworks for intelligent vehicles.
• Collaborate with an international AI/ML and robotics team to advance BMW's mobility technologies.

Kenntnisse

C/C++

Python

Robotics

Machine Learning

Publications

Ausbildung

Master's degree in Electrical Engineering, Computer Science, Mathematics, Systems & Control

Tools

PyTorch

TensorFlow

Jobbeschreibung

Stellenreferenz: 174306

Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.

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 specialised, 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.

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 : 01/10/2026

Duration : 36 months

Working hours : Full-time

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.