PhD Scholarship: Artificial Intelligence for Laser Ultrasonic Polycrystal Imaging
2 days ago
The project aims to develop advanced imaging techniques for material characterization using artificial intelligence and laser ultrasonics. Polycrystals are the building blocks of numerous materials, and understanding their intricate structures is crucial for advancing fields such as aerospace, engineering, and energy. The current search process for determining the structure of polycrystals is laborious and restrictive, and only a handful of measurement techniques are capable of fully imaging material microstructure. This project will combine state-of-the-art laser ultrasonic imaging techniques with advanced artificial intelligence to shortcut the current search process and classify crystallographic orientation.
EnvironmentThis exciting opportunity is based within the Optics and Photonics Research Group at the Faculty of Engineering, University of Nottingham. The Faculty of Engineering provides a thriving working environment for all PGRs, creating a strong sense of community across research disciplines. Community and research culture is important to our PGRs, and the FoE supports this by working closely with our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs.
ApplicantThe suitable candidate should demonstrate an enthusiasm for multidisciplinary research, with a minimum Master's level degree classification of Merit and/or an undergraduate degree of UK 2:1. We welcome candidates from a broad range of disciplines, including Engineering, Physics, Mathematics, and Computer Science. Candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will involve elements of both programming and experimentation, so applicants ideally should have an analytical and computational background, as well as the drive to learn how to operate laser ultrasonic inspection systems.
Funding and SupportFully funded studentship, which includes a minimum tax-free stipend of £19,237, are competitively available for UK home fee eligible students. Note that the funding associated with this role is awarded via an internal competition and is therefore only confirmed sometime after the admission application is approved.
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Nottingham, Nottingham, United Kingdom University of Nottingham Full timeProject OverviewThe University of Nottingham is seeking a highly motivated PhD researcher to work on a project that combines state-of-the-art laser ultrasonic imaging techniques with advanced artificial intelligence to shortcut the current search process in classifying crystallographic orientation.BackgroundPolycrystals are the building blocks of numerous...
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Nottingham, Nottingham, United Kingdom University of Nottingham Full timeProject OverviewThe University of Nottingham is seeking a highly motivated PhD researcher to work on a project that combines state-of-the-art laser ultrasonic imaging techniques with advanced artificial intelligence to shortcut the current search process in classifying crystallographic orientation.BackgroundPolycrystals are the building blocks of numerous...
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