Doctoral Researcher / Master's Thesis Worker - VIcTOR - Virtual Torque Sensing for Maritime Powertrains
Core
Develop a torque estimation procedure using convex optimization and physics-informed learning to replace expensive physical torque sensors in maritime powertrains.
Role type
Doctoral Researcher / Master's Thesis Worker (Control Systems & Estimation)
Builds
Embedded torque estimation algorithms and torsional vibration models for maritime powertrains
Domain
Maritime engineering, control systems, mechanical dynamics
Deliverable
production ML models
Required skills
Convex optimization, Kalman filtering, Physics-informed machine learning, Embedded systems programming, Matlab/Simulink, Torsional vibration analysis
Preferred skills
Deep learning, C programming, Industrial measurement data analysis
Responsibilities
Define accuracy requirements for torque estimation algorithms, Build and verify torsional vibration models using Wärtsilä data, Develop estimation frameworks for simulated and physical validation, Test and refine models for embedded system implementation
Seniority
Early-career researcher (Master's/PhD level)