Research Associate in Motor-twin Development and Validation

Overview

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.

Main duties and responsibilities

• 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.

Person Specification

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. Please ensure that you reference the application criteria in the application statement when you apply.

Criteria | 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 | Application/interview

Ability to plan own workload and prioritise conflicting deadlines. | Essential | Application/interview

Effective time management skills. | Essential | Application/interview

Ability to plan research tasks and progress work activities, and to monitor and manage the delivery of outcomes. | Essential | Application/interview

Further Information

Grade | 7.3

Salary | £39,560

Work arrangement | Full-time

Duration | Until 31st January 2028

Line manager | Dr Xiao Chen

Right to work in the UK | If you do not currently hold the right to work in the UK, you can find more information here to help determine your visa eligibility. Additional guidance is also available on the UK Visa & Immigration website.

Our website | sheffield.ac.uk

For informal enquiries about this job contact Dr Xiao Chen on xiao.chen@sheffield.ac.uk

Next steps in the recruitment process

The selection process will take place following the closing date. This will consist of an interview and a presentation. We plan to let candidates know if they have progressed to the selection stage following the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact eee-operations@sheffield.ac.uk.

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).

What we offer

• A minimum of 41days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
• Flexible working opportunities, including hybrid working for some roles.
• Generous pension scheme.
• A wide range of discounts and rewards on shopping, eating out and travel.
• A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development access to learning and mentoring schemes, integrated with our Academic Career Pathways.
• A range of generous family-friendly policies
• paid time off for parenting and caring emergencies
• support for those going through the menopause
• paid time off and support for fertility treatment
• and more

More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.