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Daniel Parsons

11 months ago

Quantifying Sand Mining Impacts on River Channel Morphology and Flood Hazard (Ref: FCDT-26-LU2) Loughborough University in United Kingdom

Degree Level

PhD

Field of study

Machine Learning

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

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Country

United Kingdom

University

Loughborough University

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Keywords

Machine Learning
Geology
Environmental Science
Remote Sensing
Geography
Hydrology
Fluid Mechanics
Spatial Analysis
Earth Science
Environmental Sustainability
Sediment Transport
Freshwater Ecology
Marine Geology
Climate Resilience
Flood Risk
Computational Modelling

About this position

This PhD project at Loughborough University, in collaboration with Newcastle University and the Centre for Doctoral Training for Resilient Flood Futures (FLOOD-CDT), investigates the global impacts of sand mining on river channel morphology and flood hazard. Sand is the world’s most extracted resource after water, and its intensive mining is reshaping major rivers and deltas, affecting sediment transport and increasing flood risk. The successful candidate will quantify these changes using a combination of satellite remote sensing (PlanetScope, Sentinel-1), advanced numerical modelling (HEC-RAS, Delft-FM), and targeted field surveys.

The research aims to map mining intensity, simulate channel adjustment, and assess evolving flood hazards under diverse environmental and socio-economic scenarios. The project is highly interdisciplinary, offering training in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro-geomorphological field methods. Collaboration with Previsico and international partners ensures the research is embedded in real-world applications, with direct relevance to policy, infrastructure risk, and community resilience in vulnerable deltas.

Applicants should have a strong quantitative background and a keen interest in rivers, hazards, and sustainability. Training in GIS, coding, and modelling will be provided. The studentship is funded by UKRI through FLOOD-CDT, offering a tax-free stipend of £20,780 per annum for 3.5 years plus UK tuition fees. International candidates are eligible, with the university covering the difference between UK and international tuition fees for successful applicants.

The project is open to both UK and international students, with full-time (3.5 years) and part-time (7 years) options available. Applicants must hold or expect to obtain a very good undergraduate or master’s degree (at least UK 2:1 honours or equivalent) in a relevant subject, and EU/overseas applicants must meet English language requirements (IELTS 6.5 overall, minimum 6.0 in each component). The application deadline is January 8, 2026, with a start date in October 2026.

To apply, candidates should submit an online application via Loughborough University, selecting ‘School of Social Sciences and Humanities’ and quoting reference ‘FCDT-26-LU2’. Required documents include a one-page statement of research interests, CV, academic transcripts, degree certificates, and IELTS/TOEFL certificate if applicable. Applicants are encouraged to contact supervisors for project-specific queries prior to applying. For general questions, contact [email protected].

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants must have, or expect to soon graduate with, a very good undergraduate or master’s degree (at least UK 2:1 honours or equivalent international qualification) in a relevant subject. EU and overseas applicants must achieve an IELTS score of 6.5 with at least 6.0 in each competency. All applicants must meet minimum English language requirements. Quantitative aptitude and interest in rivers, hazards, and sustainability are desirable; training in GIS, coding, and modelling will be provided.

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Professors

Professor at Department of Geography

University Name
Country flag

United Kingdom

Research Interests

Hydrology

Soil Science

Sediment Transport

Computational Modelling

Climate Resilience

Professor at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Hydrology

Sediment Transport

Machine Learning

Remote Sensing

Dr at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Hydrology

Freshwater Ecology

Machine Learning

Earth Science

Dr at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Hydrology

Flood Risk

Earth Science

Climate Resilience