University of Hong Kong Featured PhD Programmes
University of Sussex Featured PhD Programmes
University of Edinburgh Featured PhD Programmes

Artificial intelligence for smart engines


Faculty of Engineering and Physical Sciences

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
Dr L. Wang No more applications being accepted Competition Funded PhD Project (European/UK Students Only)

About the Project

Project description

As a part of an European Clean Sky research project (I2BS) that aims to develop smart bearings for next generation aero-engines (the Ultra High Propulsive Efficiency (UHPE) engine), this PhD project focuses on sensor data analysis using artificial intelligence to enable accurate and efficient fault detection and life prediction for engine bearings. This collaborative research project involves University of Southampton in the UK, Schaeffler Technologies in Germany and Safran Aircraft Engines in France. The ‘smart bearings’ in development integrate multiple sensors, including accelerometers, strain gauges, eddy current and thermocouples, together with energy harvesters and wireless communication systems onto a rolling element bearing. A large amount of sensor data has been collected from a series of purposely designed bearing tests on an industrial subscale bearing rig. Tests on a full-scale bearing rig, simulating aero-engine conditions will be conducted providing more data for the development of intelligent bearing monitoring methods using artificial intelligence techniques. A successful candidate, first class graduate with engineering and/or data science background, will join an exciting research team of experts in engineering, electrical and electronics, computing, data science and artificial intelligence from both academia and industry to develop a start-of-the-art technology that will change the future aerospace industry. The smart bearing technologies developed in this project will also be applicable to many other industries including renewable energy, marine and maritime as well as automotive where sophisticated life prediction is required to reduce the cost of materials and energy.

Enhanced stipend (in addition to home student fee) maybe offered to an outstanding applicant.

If you wish to discuss any details of the project informally, please contact Professor Ling Wang, nCATS Research Group, Email: [Email Address Removed], Tel: +44 (0) 2380 59 5076.
Entry Requirements
A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

Closing date: applications should be received no later than 31 August 2020 for standard admissions, but later applications may be considered depending on the funds remaining in place.

Funding: full tuition fees for EU/UK students plus for UK students, an enhanced stipend of £15,009 tax-free per annum for up to 3.5 years.

How To Apply

Applications should be made online here selecting “PhD Eng & Env (Full time)” as the programme. Please enter Ling Wang under the proposed supervisor.

Applications should include:
Research Proposal
Curriculum Vitae
Two reference letters
Degree Transcripts to date
Apply online: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page

For further information please contact: [Email Address Removed]
Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.



FindAPhD. Copyright 2005-2021
All rights reserved.