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Tom Stanton

11 months ago

Optimising Aerial Image Analysis for Beach Litter Characterisation and Quantification (Ref: CENTA2026-LU09) Loughborough University 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

Loughborough University

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Keywords

Computer Science
Environmental Science
Geography
Artificial Intelligence
Image Processing
Computer Vision
Marine Biology
Quantitative Analysis
Drone Technology
Citizen Science
Hyperspectral Imaging
Aerial Surveying
Marine Pollution
Environmental Quality

About this position

This PhD project at Loughborough University aims to optimise aerial image analysis for the characterisation and quantification of beach litter, building on the university’s extensive research into marine litter, including the '50 Years of Litter on Skye' initiative. The research responds to a three-year marine litter monitoring campaign on the Isle of Skye and involves collaboration with community partners across Scotland’s west coast. The project is highly interdisciplinary, integrating environmental science, engineering, and community science methodologies.

The successful candidate will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation, focusing on heavily-littered coastlines. The research will assess the practicality of various image capture techniques, including the use of drones and mobile phones, and explore the potential of different sensor types such as RGB and multispectral sensors.

Image analysis will involve both manual digital approaches (e.g., Dot Dot Goose) and the development of automated computer vision algorithms for marine litter characterisation and quantification. The project is designed to enhance marine litter monitoring methods and support community-led environmental initiatives. The studentship is partially funded by NERC and provides a tax-free stipend of £20,780 per annum (2025/26), UK tuition fees for 3.5 years, and a Research Training Support Grant of £8,000. International candidates are eligible, with the university covering the difference between UK and international tuition fees for successful applicants, subject to UKRI funding rules.

Applicants should have at least a 2:1 degree (or equivalent) in a relevant field such as Geography, Environmental Science, Computer Science, or Engineering, and must meet the university’s English language requirements. The position is available full-time (3.5 years) or part-time (7 years), with a start date in October 2026. Applications close on January 7th, 2026, and interviews for shortlisted candidates will be held in February 2026. For application instructions, candidates should complete the CENTA studentship application form and apply online, quoting the reference number CENTA2026-LU09.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants should hold, or expect to gain, at least a 2:1 degree (or equivalent) in Geography, Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. Applicants must meet the minimum English language requirements as specified by the university. Both UK and international candidates are eligible, but no more than 30% of studentships can be awarded to international candidates under UKRI rules.

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Professors

Dr. at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Marine Biology

Computer Science

Citizen Science

Aerial Surveying

Prof. at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Human-robot Interaction

Artificial Intelligence

Autonomous Navigation

Environmental Science

Computer Science

Prof. at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Marine Biology

Geography

Environmental Science

Image Processing

Dr. at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Marine Biology

Artificial Intelligence

Citizen Science

Computer Science

Aerial Surveying