PhD candidate Efficient Deployment of End-to-End Machine Learning Architectures (f/m/x)

Das ist der Job

THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS.

Darum lohnt es sich

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 Artificial Intelligence focusing on the hardware optimization of End-to-End Autonomous Driving. Typically, Autonomous Driving systems are modularly designed, while using human-interpretable interfaces between the different modules.

However, this leads to a loss of information and cascading of errors. In contrast, End-to-End systems, holistically trained, help mitigating this issue. Research on End-to-End models, especially the industrialization of such approaches on edge devices will be your focus of your work. What awaits you?

Research on the deployment and hardware optimization of state-of-the-art Machine Learning methods, particularly End-to-End models, for Autonomous Driving. Hardware-centric design of network topologies to achieve real-time capable systems, using multiple sensor modalities