Scalable grey-box modelling for adaptive control of existing housing (Ref: ABCE-EBE-VD)

About the Project

Help shape the future of sustainable housing by developing scalable grey-box models for adaptive control of existing homes. Your research will focus on improving energy performance and thermal comfort, addressing one of the most pressing global challenges. Buildings account for a significant portion of global energy consumption and carbon emissions. Improving the performance of existing housing is critical to meeting net-zero targets and enhancing occupant well-being. This project harnesses digital transformation, applying data-driven modelling through machine learning to create advanced grey-box models and adaptive control strategies, driving impactful improvements in energy efficiency and thermal comfort. You will join Loughborough University’s internationally recognised research community, working under the supervision of Dr Vanda Dimitriou, whose expertise spans data-driven thermal modelling, building energy performance, and smart building technologies. Our team offers a collaborative and supportive environment, offering access to cutting-edge facilities and strong partnerships with industry to ensure your research has real-world impact.

Name of primary supervisor/CDT lead:
Vanda Dimitriou v.dimitriou@lboro.ac.uk

Entry requirements:
Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject. A relevant master’s degree and/or experience is desirable.

English language requirements:
Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/).

Bench fees required: No

Closing date of advert: 30th June 2026

Start date: October 2026

Full-time/part-time availability: Full-time 3 years

Fee band: 2025/26 Band RB (UK £5,006, International £28,600)

How to apply:
All applications must be made online and must include a completed studentship application form (instead of a personal statement) and a two-page research proposal based on the project description outlining how you would approach the project and what methods you would use. Under programme name, please select ‘Architecture, Building and Civil Engineering (Built Environment)’. Please quote advert reference ABCE-EBE-VD.
To avoid delays in processing your application, please ensure that you submit the minimum supporting documents including an up-to-date CV, but a personal statement is not required.
ABCE will use these selection criteria to make a decision on your application.

Project search terms:
artificial intelligence, civil engineering, engineering

Email Address ABCE:
abce.pgr@mailbox.lboro.ac.uk