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Dan Parsons

11 months ago

PhD Studentship: Quantifying Sand Mining Impacts on River Channel Morphology and Flood Hazard Loughborough University in United Kingdom

Degree Level

PhD

Field of study

Machine Learning

Funding

Available

Deadline

Expired

Country flag

Country

United Kingdom

University

Loughborough University

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Keywords

Machine Learning
Environmental Science
Remote Sensing
Geography
Hydrology
Fluid Mechanics
Spatial Analysis
Earth Science
Sediment Transport
Freshwater Ecology
Fluvial Geomorphology
Climate Resilience
Flood Risk
Geographic Information System
Computational Modelling

About this position

[UKRI FLOOD-CDT studentship for 3.5 years; tax-free stipend of £20,780 per annum plus tuition fees at UK rate. International candidates may receive additional funding to cover the difference between UK and international tuition fees, subject to UKRI rules (max 30% international studentships).] This PhD studentship at Loughborough University investigates the global impacts of sand mining on river channel morphology and flood hazard, a critical issue as sand is the world’s most extracted resource after water. The project aims to quantify how sand mining alters river channels, sediment transport, and flood risk, providing evidence to inform sustainable river management and climate resilience strategies. Supervised by Professor Dan Parsons, Professor Dapeng Yu, Dr Quan Le (Loughborough), and Dr Chris Hackney (Newcastle), the research is embedded within the FLOOD-CDT and benefits from collaboration with Newcastle University, Previsico, and international partners. The successful candidate will employ satellite remote sensing (PlanetScope, Sentinel-1), advanced numerical modelling (HEC-RAS, Delft-FM), and targeted field surveys to map mining intensity, simulate channel adjustment, and assess changing flood hazards under diverse environmental and socio-economic scenarios. The project offers training in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro-geomorphological field methods, preparing the student for impactful careers in policy, infrastructure risk assessment, and community resilience. Applicants should have strong quantitative skills and a keen interest in rivers, hazards, and sustainability; training in GIS, coding, and modelling will be provided. Entry requirements include a very good undergraduate or master’s degree (at least UK 2:1 honours or equivalent), and for EU/overseas applicants, an IELTS score of 6.5 (minimum 6.0 in each competency). The studentship is funded by UKRI through FLOOD-CDT for 3.5 years, offering a tax-free stipend of £20,780 per annum plus UK tuition fees. International candidates may receive additional funding to cover the difference between UK and international tuition fees, subject to UKRI rules. Applications are assessed on motivation, intellectual excellence, project suitability, and fit to FLOOD-CDT. Applicants must submit a statement of research interests, CV, academic transcripts, degree certificates, and English language certificates if applicable. Early contact with supervisors is encouraged for project discussion.

Funding details

Available

What's required

Applicants must have, or expect to soon obtain, 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. English language requirements must be met. Quantitative aptitude and interest in rivers, hazards, and sustainability are preferred. Training in GIS, coding, and modelling will be provided.

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Professors

Professor at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Hydrology

Spatial Analysis

Earth Science

Machine Learning

Professor at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Hydrology

Remote Sensing

Sediment Transport

Climate Resilience

Dr at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Hydrology

Sediment Transport

Remote Sensing

Environmental Science

Dr at Loughborough University

University Name
Country flag

United Kingdom

Research Interests

Hydrology

Fluid Mechanics

Geography

Freshwater Ecology

Remote Sensing