The automotive, aerospace, offshore wind and manufacturing sectors are looking for much improved performance envelope electrical machines and drives to underpin ambitions plans for market electrification. In addition to improved design, a large part of the required solution will be enabled by the application of improved sensing, monitoring and control management techniques – in variable speed machine/drive systems these could facilitate a much improved understanding of the vicinity of operating points to design limits, and development of advanced routines for appropriate operating point management to deliver increased performance. To achieve these greatly improved monitoring of key operational parameters is required. A PhD studentship is available to undertake research into development of in-situ monitoring solutions for electrical machines and their integration into machine in-service condition monitoring and control routines. The research will explore the application of latest generation fibre optic sensing for variable speed drives, building on Dr Djurovic’s group research track record, to enable improved monitoring network and drive management routine development. You will be expected to undertake considerable experimental research activities in the Power Conversion laboratory at University of Manchester as well as modelling and analysis desk based research work. You will be embedded in a friendly team of other PhD students and postdoctoral researchers. The research will be closely linked with the ongoing multimillion pound EPSRC funded HOME Offshore project (see project website on http://homeoffshore.org/ )providing further opportunities for growth and networking.
This is a fully funded Studentship (fees and stipend), subject to EPSRC requirements, for eligibility see: View Website. Due to funding restrictions, the full studentship is only available to students from the UK or EU who have been normally resident in the UK for at least 3 years. The Studentship is available for 3.5 years, covering full tuition fees and a stipend
Applicants should be educated to at least 1st Class/2:1 (or UK equivalent) BEng (Hons) level and will have a strong numerate, typically 1st, degree in engineering (electrical/electronic), mathematics or physics. The applicants should ideally have a background in/knowledge of electrical motors and drives and their control. Any demonstrable experimental and modelling work experience is also an advantage.
For more information on existing research in this area at Manchester please contact: Dr Siniša Durović at [email protected]
How to apply: If you wish to apply, please email a covering letter, full Curriculum Vitae and the names and contact details of at least two academic referees to Ms Marie B Davies: [email protected]
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