UOB
: Spatial Artificial Intelligence for Hyperspectral Image Analysis
✓ Fully Funded
⏰ Closing Soon
🎓 Computational Mathematics
🎓 Computer Vision
🎓 Data Analysis
🎓 Data Science
🎓 Machine Learning
machine learning
data science
computer vision
hyperspectral imaging
funded PhD
mathematical optimisation
spatial AI
uncertainty quantification
Funded PhD at the University of Bath developing spatially-aware AI and machine learning methods for hyperspectral image analysis across scientific and industrial applications.
Project Description
This PhD project focuses on developing efficient spatially-aware machine learning methods for hyperspectral imaging. The research addresses the challenge of extracting useful information from high-resolution hyperspectral data cubes collected across hundreds of spectral wavelengths.
The project will investigate:
use of spatial information to improve hyperspectral analysis
modelling of spectral correlations
computational bottlenecks in current machine learning methods
uncertainty quantification for statistical decision-making
optimisation techniques for practical and efficient deployment
The work is expected to involve machine learning, statistics, signal processing, and data dimension reduction. The project is part-funded by Renishaw Plc, and the successful applicant is expected to undertake a placement with the company.
Entry Requirements
First Class or good Upper Second Class UK Honours degree or equivalent in a relevant subject
Master’s qualification is advantageous
Non-UK applicants must meet the English language requirement by the deadline
Master’s qualification is advantageous
Non-UK applicants must meet the English language requirement by the deadline
How to Apply
Apply through the University of Bath online application form for a PhD in Mathematical Sciences.
In the “Funding your studies” section, select EPSRC-DTG.
In the “Your PhD project” section, enter the project title and lead supervisor name.
Contact Prof Matthew Nunes for informal enquiries: M.A.Nunes@bath.ac.uk
Apply early because the project may close before the advertised deadline if a suitable candidate is found.
Note:
The application portal will be unavailable from 11 April to 15 April 2026.
Applications are open up to 10 April 2026 and reopen on 16 April 2026
In the “Funding your studies” section, select EPSRC-DTG.
In the “Your PhD project” section, enter the project title and lead supervisor name.
Contact Prof Matthew Nunes for informal enquiries: M.A.Nunes@bath.ac.uk
Apply early because the project may close before the advertised deadline if a suitable candidate is found.
Note:
The application portal will be unavailable from 11 April to 15 April 2026.
Applications are open up to 10 April 2026 and reopen on 16 April 2026
Eligibility
UK/Home
EU
International
Supervisor Profile
PM
Prof Matthew Nunes, Dr Matthias Ehrhardt
University of Bath, Department of Mathematical Sciences
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