Research Associate in Motor-twin Development and Validation

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We are inviting applications for a Research Associate to support the University of Sheffield’s contribution to the SMART (Secure Motor AI-Responsive Technology) project funded by Innovate UK. The post will contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation, plus preparing modelling outputs that can be shared with project’s partners.

The successful candidate will work with academic and industrial project partners to generate simulation and experimental validation evidence, using available machine data, dynamometer testing and HIL methods. The role will also involve documenting methods and results for project deliverables, reports and publications.

The post is suited to candidates with a PhD awarded in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline, who is motivated to develop deployable motor-twin methods for intelligent motor drives.

• Develop and implement motor-twin models for BLDC/PMSM drives, including parameters and state estimation.
• Deliver reduced-order high-fidelity electrical machine modelling methods suitable for simulation, HIL and real-time controller.
• Support validation using HIL platforms, dynamometer testing and environmental characterisation data, as required by the project plan.
• Work collaboratively with academic and industrial project partners, present progress, and maintain clear technical records, code, data and documentation. Contribute to project deliverables for the University of Sheffield work package.
• Contribute to dissemination activities, including preparation of technical reports, conference or journal papers.
• Carry out other duties, commensurate with the grade and remit of the post.

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply.

Essential or desirable

Stage(s) assessed at

A PhD or working towards a PhD degree in electrical engineering (or equivalent experience).

Essential

Application

Experience in modelling, simulation or analysis of electrical machines or electric drives, such as BLDC/PMSM systems.

Essential

Application/interview

Experience using engineering software or programming tools for modelling and data analysis, such as MATLAB/Simulink, Python, finite-element tools or equivalent.

Essential

Application/Interview

Awareness/knowledge of field-oriented control, FPGA-based control, GaN inverter technologies, or adaptive-control concepts.

Desirable

Application

Good written and verbal communication skills, including experience writing reports and presenting your findings.

Essential

Application/interview

Ability to work effectively within a team environment.

Essential

Applicatio…