|Funding for:||UK Students, EU Students|
|Funding amount:||circa £15,000 per annum|
|Placed On:||13th March 2019|
|Closes:||20th June 2019|
The Quantification of Surface and Subsurface Damage using Surface Roughness Data
Applications are invited for a fully funded PhD studentship (3 years) to work within the Faculty of Engineering at the University of Nottingham in association with SMT (www.smartmt.com).
The Faculty of Engineering at the University of Nottingham is one of the premier Engineering faculties in the UK. The Faculty conducts research that has been recognised by the last Research Excellence Framework (REF) as being world-leading/internationally excellent, placing Nottingham in the UK’s top five universities for Engineering. The Faculty is a vibrant and supportive environment in which to work. It provides state-of-the art experimental and computational facilities and attracts leading scholars from around the world.
Bearings play a crucial role in the design/operation of many machines and, as the world places greater demands on efficiency and reliability, there develops a tremendous need for the accurate prediction of bearing failure/degradation. A PhD project, supported by SMT, is due to commence at the University of Nottingham in the field of bearing failure prediction and applications are invited from prospective students. More specifically, research is to be conducted in developing, extending, and analytical approaches reported in the literature for the quantification of surface and subsurface damage in rolling element bearings. The work is expected to be largely modelling based/numerical in nature, with only a very limited amount of experimental work conducted in the early stages of the project to determine representative surface profiles. The work will look to:
The studentship is expected to start on 1st October 2019 and will cover PhD tuition fees and a tax-free stipend for three years (circa £15,000 per annum) for UK/EU students.
Students must have a 1st or 2:1 class academic qualification in an Engineering or related subject. A Masters degree in a similar discipline would be an advantage. The successful student will conduct research that is both highly relevant to industry and novel in an academic context. With good progression, it is therefore very likely that the student will be desirable to industry and academic employers upon completion of their postgraduate degree (PhD).
For informal queries, please contact project supervisor James Rouse by sending an email to James.Rouse@nottingham.ac.uk. Formal applications are to be made via www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx. When applying for this studentship, please include the reference number (beginning ENG) within the personal statement section of the application. This will help in ensuring your application is sent directly to the academic advertising the studentship.
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