The project is an international interdisciplinary collaboration between researcher at University of Manchester and ARTC and SIMTech in Singapore. We would investigate the potential of machine learning to exploit the use of hyperspectral X-ray CT with a case study applied to the identification of different phases in metal alloys. Hyperspectral images acquired from different 2D/3D modalities (new 6x2 HEXITEC hyperspectral detector, EDX, EBSD, SIMS or XRF techniques…) will be correlated with X-ray CT images of Additively Manufactured parts and friction welded joints used in the aerospace and medical sector to build a multi-dimensional image dataset for model training.
In Collaboration with ARTC (A*STAR Singapore), application of ML in hyperspectral and tomographic imaging for waste management and remanufacturing will be investigated.
Applicants must have obtained or be about to obtain a First or Upper Second class UK honours degree, or the equivalent qualifications gained outside the UK, in a related subject area.
Many of our students have also undertaken a master's degree, although this is not compulsory.
International applicant eligibility requirements: Some restrictions apply to applicants from certain Asian countries. In general, students from Europe, the Americas, Africa, Australia, New Zealand, Korea and Japan are eligible to apply for the programme. Unfortunately, we cannot accept applications from south-east Asian countries such as Singapore, China and Malaysia.
International applicants must ensure they meet the academic eligibility criteria (including English language) as outlined before contacting potential supervisors to express an interest in their project.
How to Apply
To be considered for this project you MUST submit a formal online application form - full details on how to apply can be found on the A*STAR PhD website https://www.bmh.manchester.ac.uk/study/research/astar/
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. The full Equality, diversity and inclusion statement can be found on the website https://www.bmh.manchester.ac.uk/study/research/apply/equality-diversity-inclusion/