This joint university / industry doctorate offers an exciting opportunity to undertake research on novel applications of augmented reality (AR) for non-destructive testing (NDT). AR has the potential to revolutionise the way in which NDT techniques are applied, especially for inspections involving either handheld or robotically scanned probes. AR not only offers the potential for powerful new ways of visualising scanned data, but also could serve as a bridge into advanced defect detection and discrimination algorithms using machine learning. Ultimately, this project seeks to pave the way to fusing digital twin technology to real system and components operating in the field
The successful candidate will join a well-established team of engineers and scientists, with a proven track record of research and technology transfer across a broad range of NDT inspection applications. The research will be split between sites and is likely to involve some travel.
Before you apply
We strongly recommend that you contact the lead supervisor for this project before you apply.
How to apply
To be considered for this project you’ll need to complete a formal application through our online application portal.
When applying, you’ll need to specify the full name of this project, the name of your supervisor, details of your previous study, and names and contact details of two referees.
Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.
If you have any questions about making an application, please contact our admissions team by emailing [Email Address Removed].
Equality, diversity and inclusion
Equality, diversity and inclusion is fundamental to the success of The University of Manchester and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.
We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
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