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Dr A Smith

11 months ago

Probabilistic forecasting of climate change impacts on earthwork deterioration and failure. (Ref: RAINDROP-AE) Northumbria University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully Funded

Deadline

Expired

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Country

United Kingdom

University

Northumbria University

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Where to contact

Official Email

Keywords

Computer Science
Mathematics
Statistical Analysis
Artificial Intelligence
Probability Theory
Civil Engineering
Software Engineering
Geotechnical Engineering
Technical Engineering
Statistic
Machine learning

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.

This PhD aims to develop capabilities to forecast deterioration and failure in earthworks driven by weather cycles and climate change scenarios, to enable a transition from responsive maintenance interventions/renewals, to predictive, proactive, and targeted ones that help to avoid failures. By integrating numerical simulations, probabilistic techniques, and AI analytics, earthwork prognoses could be expressed in the form of ‘time-to-failure’ and/or ‘probability of survival’ under extreme weather events.

Please reach out to the primary supervisor, Dr Ashraf El-Hamalawi, if you have any questions.

Name of primary supervisor/CDT lead:

Dr Ashraf El-Hamalawi ( )

https://www.lboro.ac.uk/departments/abce/staff/ashraf-el-hamalawi/

Names of secondary supervisors:

Dr Asma Adnane https://www.lboro.ac.uk/departments/compsci/staff/asma-adnane/

Dr Haitao Lan https://www.lboro.ac.uk/departments/abce/staff/haitao-lan/

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-AE .

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, geotechnical engineering, machine learning, probability, software engineering, statistics

Email Address ABCE:

Funding details

Fully Funded

How to apply

Apply online with a completed studentship application form, research proposal, and CV

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