AI-Driven Durability Design of Sustainable Concrete for Marine Infrastructure

Full Description

Supervisory team: Dr Ye Li

This project develops AI-assisted models to predict the durability of sustainable, low-carbon concrete in marine environments.

Combining advanced characterisation of alternative cementitious systems and carbonated concretes with interpretable machine learning, it enables faster, more reliable design of long-lasting marine structures, advancing the transition to Net Zeroand circular construction.

The next generation of marine infrastructure, such as coastal defences, floating wind platforms, and ports, demands materials that are both durable and low-carbon.

Conventional concrete suffers rapid deterioration under saltwater exposure, while cement production remains a major source of global CO2 emissions.

This PhD project pioneers AI-driven durability prediction for sustainable concretes incorporating alternative cements and carbon mineralisation, enabling engineers to design marine structures with longer lifespans and lower environmental impact.

The research will integrate multi-scale experimental testing with machine learning.

The student will investigate how chloride, sulphate, and magnesium ions interact with low-carbon binders, altering microstructure and strength.

Advanced techniques such as SEM/BSE, X-ray CT, XRD, and nanoindentation will be used to reveal degradation mechanisms across scales.

These datasets will underpin interpretable AI models that learn degradation trends and predict key service-life indicators, including ion ingress, strength retention, and dimensional stability.

The ultimate goal is to create a transparent, data-driven durability design tool that links mix design, microstructure, and exposure conditions to long-term performance.

The outcomes will accelerate the development and adoption of circular, low-carbon concretes for marine infrastructure, directly supporting Net Zero and sustainable construction objectives.

What’s in it for you?

• join a world-leading research group at the University of Southampton focused on marine and sustainable infrastructure

• gain expertise in durability testing, microstructural analysis, and AI/ML modelling for materials prediction

• address real-world challenges in marine sustainability, offshore engineering, and Net Zero construction

• build a strong foundation for a career in academia, materials R&D, or data-driven infrastructure design.

You will receive training in cement chemistry, marine durability testing, microstructural characterisation, and machine learning for materials design and prediction.

Through the Doctoral College, you will also develop transferable skills in scientific writing, communication, and research management, with opportunities for teaching, collaboration, and international research exchange in sustainable construction.

Entry requirements:

Required qualifications

• 1st or 2:1 honours degree (or international equivalent) in civil engineering, material engineering, mechanics, computer science or a related field.

• high motivation, self-direction, and a proactive approach to research.

• excellent communication and teamwork skills for effective collaboration.

• IELTS 6.5 (or equivalent) for non-native English speakers.

Preferred qualifications

• experience in cementitious materials, micromechanics, machine learning, or characterization.

• proficiency in coding and computational tools (e.g., MATLAB, Python, FEA, CAD).

• strong academic writing skills for producing high-quality research papers.

• prior involvement in research projects.

Fees and funding:

We offer a range of funding opportunities for both UK and international students.

Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.

Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.

Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants.

Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.

For more information, please visit our postgraduate research funding pages.

How to apply:

Apply now

• programme type: research

• academic year: 2026/27

• if you will be full time or part time

• faculty: Engineering and Physical Sciences

• search for programme PhD Engineering & the Environment (7175)

• please add the name of the supervisor in section 2 of the application.

Applications should include:

• your CV (resumé) and cover letter

• 2 academic references

• a 1-2 page research plan (preferred)

• degree transcripts/ certificates to date

• English language qualification (if applicable)

The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award.

We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break.

The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.