Motor-Twin Modeling & Validation Research Associate

University of Sheffield; Sheffield; On-site; GBP 36,000 - 48,000; Full time

Benefits offered by this job

Generous annual leave

Pension scheme

Flexible working opportunities

Job summary

The University of Sheffield invites applications for a Research Associate to contribute to the SMART project, focusing on motor-twin modelling and validation for efficient PM synchronous machines. The role involves parameter estimation, simulation, and experimental validation using data, dynamometer testing, and HIL methods.

The post requires a PhD in a closely related engineering discipline and offers a fixed-term contract ending 31 January 2028, with opportunities to publish and collaborate

Qualifications

• PhD awarded in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline.

Responsibilities

• Develop and validate computationally efficient motor-twin models for PM synchronous machines.
• Perform parameter and state estimation to support model accuracy.
• Prepare modelling outputs for sharing with project partners and for reports/publications.
• Document methods and results for project deliverables, reports and publications.
• Collaborate with academic and industrial partners to generate simulation and experimental evidence.

Education

PhD awarded in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline

Tools

HIL methods

Job description

The University of Sheffield invites applications for a Research Associate to contribute to the SMART project, focusing on motor-twin modelling and validation for efficient PM synchronous machines. The role involves parameter estimation, simulation, and experimental validation using data, dynamometer testing, and HIL methods.

The post requires a PhD in a closely related engineering discipline and offers a fixed-term contract ending 31 January 2028, with opportunities to publish and collaborate