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UOB

: Spatial Artificial Intelligence for Hyperspectral Image Analysis

University of Bath Department of Mathematical Sciences
✓ 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

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

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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