Qualification Type: | PhD |
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Location: | Manchester |
Funding for: | UK Students, EU Students |
Funding amount: | £26,000 - please see advert |
Hours: | Full Time |
Placed On: | 28th September 2023 |
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Closes: | 28th December 2023 |
Application: All year round (or as long as possible)
How to apply: www.manchester.ac.uk/study/postgraduate-research/admissions/how-to-apply
This PhD project is an industrially funded study by Rolls Royce.
The successful applicant will receive a generous annual stipend of £26,000 plus payment of their full-time home tuition fees. This 3-year fully funded scholarship is only open to UK home students.
Background
The project is an exciting opportunity to undertake industrially linked research in partnership with Rolls-Royce into condition monitoring of the next generation electrical drive systems needed to support the requirements of more electrified air transportation. With increasingly more electrical machines and drives used to provide vital functionality on board more electric aircrafts it is necessary to develop much improved ways of keeping these operational and diagnosing their state of health to avoid undesirable disturbance to critical aircraft functions.
Project details
Based in the Rolls-Royce UTC in Electrical Systems at the Power Conversion Group at University of Manchester, you will be responsible for undertaking the relevant computer based and laboratory based research under the guidance of Dr Djurovic and his colleagues and in collaboration with relevant Rolls Royce staff.
The work will likely include electromagnetic and thermal modelling and analysis of an aerospace electrical machine/drive operating under fault. The work will also include development, of a laboratory test system to be used for experimental research and verification of fault effects and their analysis. Of interest to this research is also the application of fibre optic sensing technology to assist the device condition monitoring and enable improved measurements of the relevant device parameters and development of condition monitoring algorithms for timely fault detection.
Requirements
We are particularly interested in students with a strong understanding of electromagnetics, electrical machines and drives. A strong interest in condition monitoring of electrical transportation systems and machinery is also desirable. Additional knowledge on electrical machine modelling including finite element analysis and/or laboratory experimentation with electric machinery is welcome, but not a requirement.
Starting date of the PhD is flexible, but ideally we are looking for someone to start as soon as possible, i.e. late 2023/early 2024.
For any further details contact Dr. S Djurovic on sinisa.durovic@manchester.ac.uk
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