Research Associate: Motor-Twin Modeling & Validation Hybrid

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

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,