About the Project
The University of Bath is inviting applications for the following project, part-funded by Renishaw Plc, starting in January 2027.
Overview of the Research:
Advances in hyperspectral imaging have resulted in high-quality images at fine spatial resolutions over hundreds of spectral wavelengths. Being able to efficiently make use of this information has the potential to provide scientific and industrial insight in several application areas, from medical diagnosis to geophysical mineral exploration. This project will develop new, efficient, spatially-aware machine learning methods for hyperspectral imaging based on modern mathematical optimisation techniques.
Example research questions we aim to address in this project are:
- How can we harness spatial information to improve hyperspectral analysis?
- How can we take advantage of spectral correlations?
- What are the computational bottlenecks and how do we circumvent them?
- Can we quantify uncertainty to support statistical decision-making?
The mathematical methods developed in this project will involve aspects of statistics, optimisation and signal processing.
The external sponsor for the project will be Renishaw Plc, providing technical expertise on imaging modalities, in particular hyperspectral imagery for clinical (as well as other) applications, including working knowledge of current state-of-the-art data processing techniques and requirements. The joint research and collaboration ensures that the mathematical and AI methods developed are grounded in practical feasibility and tested on real-world data.
It is expected that the successful candidate will spend time based at Renishaw in order to generate real life data to be used in the study and will be fully trained in the use of their instruments and software.
Candidate Requirements:
Applicants should hold, or expect to receive, a First Class or high Upper Second Class UK Honours degree (or the equivalent) in a relevant subject. A master’s level qualification would also be advantageous. Since the project will involve a significant methodological component, applicants will be expected to demonstrate a strong technical background and experience in mathematical methods in their application.
Non-UK applicants must meet the programme’s English language requirement by the application deadline.
Enquiries and Applications:
Informal enquiries are encouraged and should be directed to Professor Matthew Nunes, M.A.Nunes@bath.ac.uk
Formal applications should be submitted via the University of Bath’s online application form for a PhD in Mathematical Sciences prior to the closing date of this advert.
IMPORTANT: When completing the application form:
- In the Funding your studies section, select ‘EPSRC-DTG’ as the studentship for which you are applying.
- In the Your PhD project section, quote the project title of this project and the name of the lead supervisor in the appropriate boxes.
Failure to complete these two steps will cause delays in processing your application and may cause you to miss the deadline.
More information about applying for a PhD at Bath may be found on our website.
PLEASE BE AWARE: Applications for this project may close earlier than the advertised deadline if a suitable candidate is found. We therefore recommend that you contact the lead supervisor prior to applying and submit your formal application as early as possible.
Equality, Diversity and Inclusion:
We value a diverse research environment and aim to be an inclusive university, where difference is celebrated and respected. We welcome and encourage applications from under-represented groups.
If you have circumstances that you feel we should be aware of that have affected your educational attainment, then please feel free to tell us about it in your application form. The best way to do this is a short paragraph at the end of your personal statement.
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