AI4Engineering研究科学家_CR
Core
Conduct AI4Engineering research combining first-principles physical modeling with data-driven machine learning for automotive systems.
Role type
Research Scientist (AI/Scientific Machine Learning)
Builds
Production algorithms and models for virtual sensing, state estimation, and functional optimization in real vehicles.
Domain
Automotive engineering, Scientific Machine Learning, Dynamic Systems
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch), Time series modeling, System identification, Control theory, Signal processing, Physics-informed learning, Hybrid modeling
Preferred skills
Publications in top-tier journals/conferences, Experience with industrial-scale deployment
Technologies
PyTorch
Responsibilities
Design and develop algorithms for virtual sensing and state estimation; Collaborate with universities and business teams to validate prototypes; Track and apply frontier AI/Scientific ML techniques to industrial problems.
Seniority
PhD level, Research Scientist