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Matthew Nunes

6 months ago

PhD in Spatial Artificial Intelligence for Hyperspectral Image Analysis University of Bath in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Bath

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Keywords

Computer Science
Machine Learning
Signal Processing
Mathematics
Statistical Analysis
Geophysics
Uncertainty Analysis
Computational Mathematics
Clinical Diagnosis
Hyperspectral Imaging
Optimisation
Text Classification
Dimensionality Reduction
Statistics

About this position

This PhD project at the University of Bath, in collaboration with Renishaw Plc, focuses on developing spatial artificial intelligence methods for hyperspectral image analysis. Hyperspectral imaging produces high-resolution images across hundreds of spectral wavelengths, offering significant potential for scientific and industrial applications such as medical diagnosis and geophysical mineral exploration. However, current machine learning approaches often lack spatial awareness and are computationally intensive, limiting their practical use.

The research aims to create efficient, spatially-aware machine learning and mathematical optimisation techniques to enhance hyperspectral image analysis. Key research questions include leveraging spatial information for improved analysis, exploiting spectral correlations, overcoming computational bottlenecks, and quantifying uncertainty to support statistical decision-making. The project will involve aspects of machine learning, statistics, signal processing, and data dimension reduction, with the goal of providing practical guidelines for practitioners.

The successful candidate will have the opportunity to undertake a placement at Renishaw Plc, gaining valuable industry experience and access to technical expertise and data. The Department of Mathematical Sciences at the University of Bath offers a supportive and inclusive research environment, welcoming applicants from diverse backgrounds.

Funding: The position is funded for 4 years, covering tuition fees, an enhanced stipend (£23,805 per annum for 2026/7), and a training support budget. The studentship is open to both Home and International students, though international applicants must cover their own relocation, visa, and healthcare surcharge costs.

Eligibility: Applicants should hold, or expect to receive, a First Class or good Upper Second Class UK Honours degree (or equivalent) in a relevant subject. A master’s degree is advantageous. Non-UK applicants must meet the English language requirement by the application deadline.

Application Process: Apply online for a PhD in Mathematical Sciences at the University of Bath. Select ‘EPSRC-DTG’ as the studentship and quote the project title and lead supervisor’s name. Early application is recommended as the position may close before the advertised deadline if filled. Contact Professor Matthew Nunes for informal enquiries.

Deadline: 30 April 2026. Note that the application system will be unavailable from 11–15 April 2026.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants should hold, or expect to receive, a First Class or good Upper Second Class UK Honours degree (or equivalent) in a relevant subject. A master’s level qualification is advantageous. Non-UK applicants must meet the programme’s English language requirement by the application deadline.

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Professors

Professor at Department of Mathematical Sciences

University Name
Country flag

United Kingdom

Research Interests

Statistics

Biostatistics

Time-varying Systems

Temporal Analysis

Machine Learning