Fully Funded PhD Studentship in Artificial Intelligence for Building Performance at University of Nottingham 2025

The University of Nottingham, in collaboration with Build Test Solutions Ltd (BTS), invites applications for a fully funded PhD studentship focused on leveraging artificial intelligence to enhance low-pressure airtightness testing in buildings. Starting in October 2025, this interdisciplinary research offers a unique opportunity to work at the intersection of data science, engineering, and the built environment. The selected candidate will contribute to the development of intelligent diagnostic tools that drive energy efficiency and sustainability in construction.

Table of Content

• Summary
• Benefits
• Requirments
• Interview Process
• Application Documents
• Application Deadline
• How To Apply

Summary

• Application DeadlineAugust 31, 2025
• Study LevelPhD
• SponsorUniversity of Nottingham
• City to studyNottingham
• School to studyUniversity of Nottingham
• Course to studyArtificial Intelligence (AI)
• Eligible CountryUnited Kingdom

Benefits

• Full tuition fee coverage (Home students only)

• Tax-free annual stipend of £20,780, with an additional £2,500 industry top-up

• Access to state-of-the-art research facilities within the Department of Architecture and Built Environment and the School of Computer Science

• Industrial placement and mentorship with Build Test Solutions Ltd

• Opportunities to present at industry and academic events

• Contribution to UN Sustainable Development Goals, energy efficiency, and AI innovation

Requirements

• Open to Home (UK) students only.

• Applicants must hold at least a 2:1 undergraduate degree (or equivalent) in a relevant discipline such as:

  • Engineering

  • Computer Science

  • Data Science

  • Physics or related technical fields

• A strong foundation in data science, modelling, and/or engineering is essential.

• Applicants must demonstrate motivation, curiosity, and an interest in real-world AI applications.

Interview Dates and Process

Applicants will be assessed based on:

• Academic performance and qualifications (minimum 2:1 in a relevant field)

• Demonstrated knowledge or experience in data science, AI, or modelling techniques

• Clarity and relevance of their interest in the topic

• Communication skills and the potential to engage with both academic and industry partners

• Motivation to contribute to sustainable innovation in the built environment

Application Deadline: Sunday, 31 August 2025
Start Date: 1st October 2025

Application Documents

• Curriculum Vitae (CV)

• Cover Letter outlining research interest, motivation, and suitability for the project

• Academic Transcripts (undergraduate and, if applicable, postgraduate)

Application Deadline

How To Apply

To apply, please send

• a CV,
• cover letter,
• and transcripts

to Dr Christopher Wood ([email protected]) and Dr Grazziela Figueredo ([email protected]). Informal enquiries are welcomed.

For more details, visit