Publisher
source

Dr A Smith

11 months ago

Advanced sensing and AI-driven diagnostics for earthwork condition assessment and deterioration detection (Ref: RAINDROP-CH) Northumbria University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully Funded

Deadline

Expired

Country flag

Country

United Kingdom

University

Northumbria University

Social connections

How do Bangladeshi students apply for this?

Sign in for free to reveal details, requirements, and source links.

Where to contact

Official Email

Keywords

Computer Science
Geology
Mathematics
Statistical Analysis
Artificial Intelligence
Hydrogeology
Civil Engineering
Geotechnical Engineering
Geophysics
Architecture
Surveying
Technical Engineering
Machine learning
construction planning

About this position

Deterioration of earthworks slopes (cuttings and embankments), which support transport infrastructure and act as flood defences, is accelerating under increasing weather extremes resulting from global change, damaging critical infrastructure resilience.

This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure: Diagnosis, RehabilitatiOn & Prognosis) – https://www.lboro.ac.uk/research/clusters/raindrop/ . The Doctoral Researcher (DR) will join a cohort of DRs who will be working on a series of interlinked, interdisciplinary projects for sustainable, intelligent, and climate change-resilient infrastructure slopes.

Current earthworks assessment remains largely based on visual inspection of the surface. Subsurface deterioration is often missed, and failures occur without warning. This PhD project aims to develop novel diagnostic techniques for earthwork asset condition appraisal and deterioration detection, helping to answer the question ‘how close to failure is the asset?’. By integrating a suite of state-of-the-art sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.

Please reach out to the primary supervisor, Dr Craig Hancock, if you have any questions.

Name of primary supervisor/CDT lead:

Dr Craig Hancock ( )

https://www.lboro.ac.uk/departments/abce/staff/craig-hancock/

Names of secondary supervisors:

Dr Hui Fang https://www.lboro.ac.uk/departments/compsci/staff/hui-fang/

Professor James Flint https://www.lboro.ac.uk/schools/meme/staff/james-flint/

Dr Alister Smith https://www.lboro.ac.uk/departments/abce/staff/alister-smith/

Entry requirements:

We are looking for an enthusiastic and self-motivated candidate with a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline. A relevant master’s degree and/or employment experience will be an advantage.

English language requirements:

Applicants must meet the minimum English language requirements. Further details are available on the International website ( http://www.lboro.ac.uk/international/applicants/english/ ).

Funding information:

The studentship is for three years and provides a tax-free stipend of £19,237 per annum for the duration of the studentship plus university tuition fees.

Closing date of advert: 9 May 2025

Start date: October 2025

Full-time/part-time availability: Full-time 3 years

Bench fees required: No

How to apply:

All applications must be made online and must include a completed studentship application form (instead of a personal statement), a two-page research proposal based on the project description outlining how you would approach the project, and an up-to-date CV. Under programme name, please select 'Architecture, Building and Civil Engineering'. Please quote reference RAINDROP-CH .

Only applicants with the minimum supporting documents , comprising a CV, two-page research proposal, and studentship application form will be considered for an interview. Please make sure you have uploaded all these documents. Incomplete applications after the advert closing date may not be considered.

ABCE will use these selection criteria to make a decision on your application.

Project search terms:

artificial intelligence, civil engineering, computer science - other, data analysis, engineering - other, geophysics, geotechnical engineering, hydrogeology, machine learning, surveying

Email Address ABCE:

Funding details

Fully Funded

How to apply

Apply online with a completed studentship application form, a two-page research proposal, and an up-to-date CV. Quote reference RAINDROP-CH.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors