The School of Engineering, Mathematics and Physics at the University of East Anglia (UEA) invites applications for a PhD Studentship titled “Design Optimisation of Brushless Doubly Fed Machines.”

Project Overview: Brushless Doubly Fed Machines (BDFMs) are emerging as a promising technology for offshore wind turbine generators due to their fractional-sized power converters, elimination of rotor brushes and slip rings, and simplified gearbox systems compared to high-speed generators. These features offer significant advantages, including lower capital and operational costs, increased reliability, and reduced maintenance demands—which are key for the broader adoption of offshore wind energy. However, several challenges must be addressed, such as the machine’s relatively low power density and power factor, high vibration levels, and complex magnetic field behavior.

This research project aims to propose design optimisations to enhance the performance of BDFMs and position BDFMs as a competitive alternative to direct drive and medium-speed permanent magnet generators, paving the way for more cost-effective and reliable offshore wind energy systems.

Programme & Mode of Study:

• Mode of Study: Available for full-time or part-time study.

• Target Start Date: February 1, 2027.

• Additional Information: Graduates from the UEA alumni community may be eligible for a tuition fee discount.

Eligibility Criteria:

• Minimum academic entry requirement: Upper Second-Class (2:1) Honours degree (or equivalent).

• Funding Status: Offered on a self-funded basis. Open to applicants who are self-funded or who are in the process of securing external funding.

Required expertise/skills:

• Academic background or knowledge in electrical engineering, power systems, electrical machines, or mechanical engineering.

• Interest or experience in electromagnetic design, computational modelling, optimization techniques, or wind energy technology.

• Analytical and computational problem-solving skills suitable for complex magnetic field analysis and machine design optimization.

Salary details: Not Specified / Self-Funded A bench fee is payable in addition to standard tuition fees to cover the cost of specialist equipment and laboratory facilities required for the research. Applicants should contact the primary supervisor for details of the bench fee applicable to this project.

Application Deadline: November 30, 2026

Application Link