Doctoral Researcher – Virtual Torque Sensing for Maritime Powertrains

Aalto Startup Center

. Define the accuracy and operational requirements for the torque estimation algorithm .

Posted 10/12/2026full-timeEspoo • FinlandMid-LevelSenior💰 €3,143 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in torque estimation algorithms and torsional vibration modeling, with proficiency in Matlab/Simulink and Python for embedded systems applications. Strong background in mechanical engineering and optimization methods, complemented by excellent communication skills in English.

Highest-signal resume keywords

Torque Estimation Algorithm DevelopmentTorsional Vibration ModelingMatlab/Simulink ProficiencyConvex Optimization MethodsMachine Learning Applications

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Applicant Tracking System Keywords

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Hard Skills

Torque EstimationTorsional VibrationConvex OptimizationKalman FilteringEmbedded Systems ProgrammingMatlabSimulinkPythonCControl Engineering

Soft Skills

Excellent Written CommunicationExcellent Oral Communication

Industry Keywords

Mechanical EngineeringControl EngineeringApplied MathematicsElectrical EngineeringPowertrain DynamicsDrivetrain DynamicsIndustrial Measurement Data

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Define the accuracy and operational requirements for the torque estimation algorithm
Build and verify a torsional vibration model of the powertrain using Wärtsilä data, with a final test environment in Simulink
Develop convex optimization-based and/or physics-informed deep learning approaches to torque estimation
Study the torque estimation framework using simulated measurements and scenarios
Verify the framework against measurements from Wärtsilä's physical powertrain
Test and refine the torque estimation model for implementation in an embedded environment with limited computing capacity
Integrate the estimation method into the embedded engine control system
Conduct work physically at Aalto University campus and Wärtsilä Vaasa STH laboratory

Requirements

What you’ll need

Master's or Bachelor's degree in mechanical engineering, or other relevant field
Excellent written and oral skills in English
Applicants must be able to work full-time
For doctoral studies, meet the official eligibility requirements of the Aalto Doctoral Programme in Engineering during a trial period of 6 months
Background in mechanical engineering, control engineering, applied mathematics, electrical engineering, or a related field (asset, not a strict requirement)
Knowledge of torsional vibration, rotordynamics, or powertrain/drivetrain dynamics (asset, not a strict requirement)
Experience with state estimation or optimization methods, such as Kalman filtering or convex optimization (asset, not a strict requirement)
Interest or experience in machine learning, particularly physics-informed or physics-constrained learning (asset, not a strict requirement)
Programming and modelling skills in Matlab/Simulink, Python, C, or other embedded-systems languages (asset, not a strict requirement)
Interest in embedded systems and control engineering, and in working with industrial measurement data (asset, not a strict requirement)
Finnish language skills are considered a benefit

Benefits

Comp & perks

Employment contract includes occupational health care
Finland has a comprehensive social security system
Strong collaboration with Wärtsilä (access to engines, test rigs, operational data, and industry experts)
International and multidisciplinary research environment with excellent facilities