PhD Researcher: Torque Estimation for Maritime Powertrains

Aalto University; Finland; Hybrid; EUR 29,000 - 38,000; Full time

Job summary

Aalto University invites applications for a Doctoral Researcher / Master's Thesis Worker in the Rotor Lab, Mechanical Engineering, Espoo. The project develops torque estimation methods to determine unknown input torque and full torsional response using encoder measurements and optional engine/generator data.

Work is conducted at the university campus and Wärtsilä Vaasa lab, integrating advanced optimization and physics-informed learning.

Qualifications

• Master's or Bachelor's degree in mechanical engineering or related field.
• Excellent written and oral English; Finnish is a plus.
• Able to work full-time; eligible for Aalto Doctoral Programme in Engineering.

Responsibilities

• Define accuracy and operational requirements for the torque estimation algorithm.
• Build and verify a torsional vibration model of the powertrain using Wärtsilä data; finalise a Simulink test environment.
• Develop convex optimization-based and/or physics-informed deep learning approaches for torque estimation.
• Assess the torque estimation framework with simulated measurements and Wärtsilä powertrain data.
• Refine the model for embedded implementation with limited computing capacity.

Skills

Mechanical engineering

Control engineering

Applied mathematics

Electrical engineering

Torsional vibration

Rotordynamics

State estimation

Kalman filtering

Optimization methods

Physics-informed ML

Matlab/Simulink

Python

C / embedded systems

Industrial data

Education

Bachelor's or Master's in mechanical engineering

Tools

Matlab/Simulink

Python

C

Job description

Aalto University invites applications for a Doctoral Researcher / Master's Thesis Worker in the Rotor Lab, Mechanical Engineering, Espoo. The project develops torque estimation methods to determine unknown input torque and full torsional response using encoder measurements and optional engine/generator data.

Work is conducted at the university campus and Wärtsilä Vaasa lab, integrating advanced optimization and physics-informed learning.