Research Associate in Motor-twin Development and Validation

Dunhillmedical; Sheffield; On-site; GBP 34,000 - 45,000; Full time

Benefits offered by this job

Flexible working opportunities

Hybrid working for some roles

Generous pension scheme

Extensive annual leave

Job summary

The University of Sheffield is inviting applications for a Research Associate to support the SMART project, focusing on developing and validating motor-twin models for permanent magnet synchronous machines. You will work with academic and industrial partners to generate simulation and validation evidence using machine data, dynamometer testing and HIL methods.

The role requires a PhD in electrical machines or related area, with expertise in modelling, simulation, and control of electric drives,

Qualifications

• PhD or working towards a PhD in electrical engineering or closely related discipline.
• Experience in modelling, simulation or analysis of electrical machines or electric drives (BLDC/PMSM).
• Experience with engineering software/tools for modelling and data analysis (MATLAB/Simulink, Python, FEA).
• Knowledge of field-oriented control, FPGA-based control, GaN inverter technologies or adaptive-control concepts.
• Strong written and verbal communication; report writing and presenting results.

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 for simulation, HIL and real-time controller.
• Support validation using HIL platforms, dynamometer testing and environmental data.
• Collaborate with academic and industrial partners, maintain clear technical records and contribute to deliverables.
• Prepare technical reports, conference or journal papers.
• Carry out other duties commensurate with the grade and remit of the post.

Skills

Electrical machine modelling

MATLAB/Simulink

Python

Finite-element tools

Field-oriented control / FPGA-based‑控制

Communication skills

Team collaboration

Workload planning

Time management

Research planning & delivery

Education

PhD in electrical engineering or related field

Tools

MATLAB/Simulink

Python

Finite-element tools

Job description

Research Associate in Motor-twin Development and Validation

Working at Sheffield

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

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.

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

https://www.sheffield.ac.uk/eee

For informal enquiries about this job contact Dr Xiao Chen on [e-mail]

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 [e-mail] .

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 41 days 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 mento ring 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

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.

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision ( www.sheffield.ac.uk/vision ) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.

The University of Sheffield
Western Bank
Sheffield
S10 2TN
[phone]