Deadline
Value of Scholarship
0
Level of Study
Country Tenable
Renewable
No
Application deadline: 29 March 2013
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Supervisor: Prof David Mba T: +44 (0) 1234 754681 E: d.mba@cranfield.ac.uk Department of Power & Propulsion, School of Engineering, Cranfield University
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Duration of award: 1 Year
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Award type: MSc by Research
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The School of Engineering, Cranfield University is recruiting for the following postgraduate research opportunity in machine condition monitoring. The Department of Power and Propulsion within the School has been involved for several years in the research of machine condition monitoring and diagnosis. An exciting opportunity has arisen for an MSc researcher in an emerging area of machine prognosis; the position is industrially funded by Shell Global Solutions International B.V.Â
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The principal aim of this study is to investigate the use of chaos theory for predicting the performance of rotating machines. Today, a significant amount of performance and operational data can be acquired, and the purpose of this investigation is to explore all possible correlations between measured parameters. A strong background in mathematics would be advantageous.
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Entry Requirements
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Applicants should have a First or Second Class UK honours degree, or equivalent, in a relevant discipline such as mathematics, industrial engineering or mechanical engineering.
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Funding
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This position is industrially funded. Due to funding restrictions this is open to UK/EU applications only.
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How to apply
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Please email your CV and covering letter to Prof David Mba (d.mba@cranfield.ac.uk) no later than 29th March 2013.
Application by e-mail only (no meetings).
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