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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | University of Strathclyde |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Sep 29, 2028 |
| Duration | 1,460 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2930782 |
This PhD project will explore the potential uses of hyperspectral imaging and data processing for nuclear decommissioning.
Crucially, the work done in hyperspectral imaging will be underpinned by - and calibrated using - robust ground truth measurement science. Specifically, we will gather ground-truth data using a range of equipment including e.g.
RAMAN, SEM, XRD, Mass Spectrometry and other suitable well-proven and established lab-based quantification and measurement technologies.
The aim of the PhD research is to develop novel data processing algorithms capable of making in-field, in-situ assessments of materials using hyperspectral imaging.
The applications of this research will include detection and quantification of novel coating materials, asbestos detection and salt-deposit detection and quantification; this will support decommissioning efforts by identifying potentially hazardous materials in a non-contact and non-destructive way, enhancing on-site safety during any inspection works.
University of Strathclyde
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