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Click here to search FindAPhD.com for PhD studentship opportunitiesAbout the Project
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.
Candidates should have a 1st or high 2i in a relevant Engineering subject, Physics or Mathematics. The ideal candidate will also have a strong interest in problem solving, an enthusiasm for modelling and hardware application, an ability to convert theoretical understanding into practical solutions and an ability to work in a multidisciplinary team with physicists, application engineers, business managers and end-users.
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).
All appointments are made on merit.
Funding Notes
Candidates must be a UK citizen.

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