[Fully-funded studentships covering fees and maintenance for eligible home students; limited funding for international students may be available.]

The University of Cambridge is offering a fully-funded PhD studentship through the EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT), in partnership with Ward & Burke, a leading engineering firm in water and wastewater infrastructure. This four-year (1+3 MRes/PhD) programme focuses on the development of advanced AI tools for meta-analysis of hydraulic models, aiming to prevent combined storm overflows and improve sewage network performance.

The project addresses a critical gap in the global understanding and quantitative assessment of hydraulic models used for designing sewage network upgrades. Currently, model outputs are highly dependent on individual modellers, their assumptions, and model setups, leading to uncertainty in decision-making and scheme design. The research will develop computationally efficient meta-analysis techniques, leveraging AI and big data, to rank models, guide interventions, and assess the need for further optimisation. Key objectives include: developing a detailed understanding of current hydraulic modelling practices; creating a framework to quantitatively assess and rank catchment and sewage network models; providing guidance on sites and models that would benefit from further optimisation; and evaluating the cost, complexity, and embodied carbon of different intervention types. The project also explores blue/green and sustainable solutions to enhance network performance.

Applicants should hold, or expect to obtain, at least a high 2.1 degree (preferably at Masters level) in any STEM subject, with strong quantitative and analytical skills. The studentship covers full fees and maintenance for eligible home students, with limited funding available for international candidates. For project-specific enquiries, contact Professor Dongfang Liang at [email protected]. General enquiries can be directed to [email protected].

Applications should be submitted online via the University of Cambridge Applicant Portal, clearly stating the project title and Professor Dongfang Liang as supervisor. Early applications are encouraged, as offers may be made before the deadline of 15 April 2026. Please note a £20 application fee applies. The University of Cambridge is committed to equality, diversity, and inclusion, welcoming applicants from all backgrounds.

For further details on the programme, funding, and eligibility, visit the FIBE3 CDT website and the provided funding links. This opportunity is ideal for candidates interested in the intersection of civil engineering, environmental science, and AI-driven infrastructure optimisation.