Research Engineer: AI/ML enhanced control engineering
Core
Develop AI/ML-enhanced control engineering solutions for future dynamics systems, combining artificial intelligence, control theory, and computer science to handle uncertainties and adapt systems during operation.
Role type
Research Engineer (AI/ML & Control Theory)
Builds
Secure approaches for solving complex learning and control engineering problems, minimum viable software products
Domain
Automotive/Industrial technology, Control Systems, Artificial Intelligence
Deliverable
production ML models
Required skills
Control theory (Lyapunov stability, optimal control, adaptive control, robust control), AI/ML methods (Deep learning, GPRs, Bagging & boosting, Surrogate modelling, Reduced order models), Python programming, Simulation tools (MATLAB, Simulink), ODEs and numerical methods, Systems thinking
Preferred skills
C/C++, Tabular foundational models, Transformer architectures, Linear algebra & Matrix theory, High performance computing
