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University of Leeds

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PhD in Artificial Intelligence for Geotechnical Engineering University of Leeds in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Apr 30, 2027

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Country

United Kingdom

University

University of Leeds

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Keywords

Computer Science
Machine Learning
Materials Science
Deep Learning
Artificial Intelligence
Civil Engineering
Geotechnical Engineering
Computer Vision
Earth Science
Soil Mechanics
Statistics

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About this position

PhD in Artificial Intelligence for Geotechnical Engineering at the University of Leeds (School of Civil Engineering).

This PhD project explores how artificial intelligence, machine learning, deep learning, computer vision, and advanced data analytics can improve geotechnical engineering and civil engineering. The theme connects classical soil mechanics with data-rich approaches to model complex ground conditions, predict asset behaviour, and support safer, more sustainable infrastructure.

Research directions include slope stability, foundation design, underground construction, retaining structures, landslide susceptibility, cone penetration test interpretation, soil-structure interaction, rock mass classification, excavation sequencing, pore water pressure prediction, and anomaly detection for smart monitoring. The post also highlights methods such as neural networks, physics-informed machine learning, random forests, support vector machines, Bayesian inference, evolutionary algorithms, and numerical modelling integrated with data-driven algorithms.

Supervisor: Professor David Connolly.

Funding: non-funded; applicants should be self-funded or externally sponsored. The page also notes that arrival costs such as visa, Immigration Health Surcharge, and flights must be covered by the applicant unless another funding source is secured.

Eligibility: applicants should normally have at least a first-class or upper second-class British Bachelors Honours degree (or equivalent) in an appropriate discipline. Suitable backgrounds include civil engineering, geotechnical engineering, engineering geology, computer science, data science, applied mathematics, or related fields. International applicants must meet the University’s English language requirement (IELTS 6.0 overall with at least 5.5 in each component or equivalent).

Deadline: 30 April 2027. Applications are reviewed continuously, and early submission is encouraged.

How to apply: submit a formal research degree application through the University of Leeds website, choose the 2027/28 academic year and the planned course PHP Civil Engineering Full Time, and clearly state the project title plus Professor David Connolly as proposed supervisor. Include a personal statement, CV, transcripts, and English language evidence if required.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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