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

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). This four-year (1+3 MRes/PhD) programme is designed for candidates passionate about advancing building decarbonisation using data-intensive, AI-driven thermodynamic models. The project is delivered in collaboration with CamDragon Co. Ltd, a Cambridge-based SME specialising in engineering consultancy, flood-risk evaluation, geohazard assessment, and sustainable drainage solutions across the UK, China, and Australia.

Research will focus on developing predictive AI tools for spatiotemporal heat transfer in buildings, aiming to optimise thermodynamics and occupant comfort. Machine learning algorithms will be employed to identify energy inefficiencies and propose adaptive strategies, while theoretical and empirical approaches will enhance wellbeing and reduce carbon emissions. Key objectives include constructing advanced AI algorithms for forecasting heat flow and comfort metrics, identifying drivers of energy inefficiency, formulating AI-driven control strategies, assessing heat pump readiness, and producing guidelines for scalable, data-rich design and operation frameworks in diverse building contexts.

Applicants should hold, or expect to obtain, a high 2.1 degree (preferably at Masters level) in Civil Engineering. Essential skills include data analytics, programming (Python, MATLAB), strong communication, and the ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics, or machine learning is desirable, and familiarity with energy systems or HVAC design is advantageous.

Funding covers full tuition fees and maintenance for eligible home students, with limited opportunities for international students considered later in the recruitment process. For further details on eligibility and funding, refer to the provided UKRI and Cambridge Trust links. The University of Cambridge actively supports equality, diversity, and inclusion, encouraging applications from all backgrounds.

To apply, visit the University of Cambridge application portal, select the relevant course code (EGEGR3), and specify the project title. A £20 application fee applies. Early applications are recommended as offers may be made before the stated deadline of 2 March 2026. For project-specific enquiries, contact Prof. Dongfang Liang at [email protected].