PhD candidate Multi-Neural Network Scheduling and Mapping on Neural Signal Processors (f/m/d)
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 the area of "Multi-Neural Network Scheduling and Mapping on Neural Signal Processors“, at the intersection of algorithms, hardware, software and systems integration.
What awaits you?
Analysis of novel mixed-critical scheduling and partitioning techniques for AI systems.
Investigating embedded heterogeneous AI accelerator architectures for autonomous vehicles.
Holistic consideration of HW/SW co-design.
Providing interfaces for co-optimization of algorithms and hardware, working towards optimal scheduling of workloads on the final deployment.
Interdisciplinary development of applications based on in-vehicle image processing algorithms.
What you should bring along?
Very good knowledge in design and training of neural networks for image processing.
Excellent knowledge in HW/SW co-design and scheduling, AI compression techniques, and hardware accelerators.
Good understanding of metaheuristics, search algorithms, and mathematical solvers.
Experience with C++, Tensorflow, Keras, ApacheTVM.
Enthusiasm to efficiently deploy AI applications in vehicles in an interdisciplinary team.
You enjoy working in an international team? Apply now!
At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.