Publisher
source

University of East Anglia

PhD Studentship in Design Optimisation of Brushless Doubly Fed Machines University of East Anglia in United Kingdom

Degree Level

PhD

Field of study

Mechanical Engineering

Funding

Full funding available

Deadline

Nov 30, 2026

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Country

United Kingdom

University

University of East Anglia

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Keywords

Mechanical Engineering
Electrical Engineering
Wind Energy
Energy Engineering
Electric Machine
Power Electronic

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About this position

PhD studentship at the University of East Anglia in Norwich, United Kingdom focused on the design optimisation of brushless doubly fed machines (BDFMs) for offshore wind turbine generators.

The project addresses key research challenges in electrical engineering and renewable energy, including low power density, low power factor, vibration, and complex magnetic field behavior. The aim is to improve BDFM performance and help position these machines as a competitive alternative to direct-drive and medium-speed permanent magnet generators for offshore wind applications.

Qualification: PhD. Study mode: full-time or part-time. Entry requirement: minimum 2:1 degree.

Funding: self-funded basis. Applicants must be self-funded or in the process of securing external funding. A bench fee is payable in addition to tuition to cover specialist equipment and laboratory facilities. UEA alumni may be eligible for a tuition fee discount.

Deadline: 30 November 2026. Start date: 1 February 2027.

Interested applicants should review the listing and contact the primary supervisor for details of the bench fee and application process.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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