Research Associate in Motor-twin Development and Validation

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

Research Associate in Motor-twin Development and Validation

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.

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.

The contract end date of this post is 31st January 2028.

The School of Electrical and Electronic Engineering (EEE) belongs to the prestigious Faculty of Engineering. We are one of the largest academic communities of engineers in the UK, ranked joint 1st for Research Environment in the last Research Excellence Framework (REF 2021)! Our specific field (EEE) is also ranked very highly, which is a marker of our excellence and ambition (QS 2024: 11th in UK, The Guardian 2024: 3rd, The Times Higher 2024: 7th in the UK).

We are home to several national institutes and centres, for example:

The National Epitaxy Facility,

The National 6G Radio Systems Facility,

Rolls-Royce Control, Monitoring and Systems Engineering University Technology Centre.

We strive to conduct fundamental research and innovation to address global challenges, as well as support the education of the next generation of engineers.

The University of Sheffield is a remarkable and inclusive 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 generous annual leave entitlement (with the ability to purchase more), a generous pension scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.

Find out more at www.sheffield.ac.uk/benefits and join us to become part of something special

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.