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University of Southampton

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PhD in Multiscale Graph Neural Networks with Micromechanics for Concrete Prediction University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded PhD project for students worldwide. Funding opportunities include Horizon Europe fee waivers covering the difference between overseas and UK fees for qualifying students, Presidential Bursaries covering the difference between overseas and UK fees for top-ranked applicants, and school studentships that typically cover UK-level tuition fees plus a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis.

Deadline

Aug 31, 2027

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Mathematics
Civil Engineering
Structural Engineering
Solid Mechanics
Computational Mechanics
Micromechanics
Physics
ML

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About this position

PhD opportunity at the University of Southampton in the Faculty of Engineering and Physical Sciences on Multiscale Graph Neural Networks with Micromechanics for Concrete Prediction.

This project sits at the intersection of civil engineering, materials science, machine learning, graph neural networks, solid mechanics, and computational mechanics. The research will develop a hierarchical GNN that integrates micromechanics theory to connect behaviour across scales in concrete, from paste and mortar to concrete. The aim is to improve prediction of concrete mechanical properties while maintaining physical consistency.

You will work on modelling how constituent properties and interfaces influence stiffness, stress transfer, and damage during loading. The project includes homogenisation, numerical simulation, experimental data, and comparisons with conventional machine learning and mechanics-based models. Training is provided in Python, machine learning, computational mechanics, micromechanical models, numerical simulation, and reproducible software development.

Eligibility: UK 2:1 honours degree or equivalent in civil/mechanical engineering, materials science, computer science, mathematics, or a related field. Applicants should be interested in combining AI with concrete mechanics and be willing to develop skills across both areas. English language requirements apply for non-native speakers.

Funding: Competition funded PhD project for students worldwide. Funding may include Horizon Europe fee waivers, Presidential Bursaries, or school studentships covering UK-level tuition fees and a living stipend for top-ranked applicants. Funding is awarded on a rolling basis, so early application is encouraged.

How to apply: Submit an online application via the University of Southampton system. Select Research, 2027/28, Faculty of Engineering and Physical Sciences, choose full-time or part-time, search for PhD Engineering & the Environment (7175), and add the supervisor name in section 2. Include a cover letter, 1–2 page research proposal, CV, two references, transcripts/certificates, and English qualification if needed.

Supervisor: Dr Ye Li.

Deadline: 2027-08-31.

Funding details

Competition funded PhD project for students worldwide. Funding opportunities include Horizon Europe fee waivers covering the difference between overseas and UK fees for qualifying students, Presidential Bursaries covering the difference between overseas and UK fees for top-ranked applicants, and school studentships that typically cover UK-level tuition fees plus a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis.

What's required

Applicants need a UK 2:1 honours degree or international equivalent in civil or mechanical engineering, materials science, computer science, mathematics, or a related discipline. Essential requirements include an interest in connecting AI with concrete mechanics and willingness to develop skills across both areas, plus the ability to work independently, communicate clearly, and collaborate effectively. Desirable experience includes Python or comparable programming, knowledge of concrete materials, solid mechanics or machine learning, finite element modelling or experimental data analysis, and research experience with clear scientific writing. Non-native English speakers must meet the University of Southampton English language requirements.

How to apply

Apply online through the University of Southampton postgraduate application system. Choose Research, 2027/28, Faculty of Engineering and Physical Sciences, select full time or part time, search for programme PhD Engineering & the Environment (7175), and add the supervisor name in section 2. Include a cover letter, 1–2 page research proposal, CV, two academic references, transcripts and certificates, and English language qualification if applicable.

More information can be found here

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