Research Associate in Motor-twin Development and Validation

The University of Sheffield invites applications for a Research Associate to support the SMART project funded by Innovate UK within the School of Electrical and Electronic Engineering. The successful candidate will focus on the creation, parameter estimation, and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. Responsibilities include collaborating with academic and industrial partners to generate simulation and experimental validation evidence using machine data and HIL methods. The role requires documenting findings for technical deliverables, reports, and academic publications. The appointment runs until January 31, 2028.

• Develop and validate computationally efficient motor-twin models for permanent magnet synchronous machines
• Conduct parameter and state estimation to enhance model accuracy and performance
• Collaborate with academic and industrial partners to collect simulation and experimental validation evidence
• Perform dynamometer testing and hardware-in-the-loop (HIL) testing to verify simulation results
• Prepare comprehensive technical documentation, project deliverables, reports, and academic publications