Publisher
source

Frank Ato Ghansah

7 months ago

Tackling damp and mould in UK housing using AI and digital twin technology London South Bank University (LSBU) in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United Kingdom

University

London South Bank University

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Where to contact

Official Email

Keywords

Computer Science
Environmental Science
Artificial Intelligence
Civil Engineering
Built Environment
Human Health
Technical Engineering
Smart Building
Building Performance
Social Housing
Digital Twins

About this position

?? Funded PhD Opportunity – Apply by 8th June! ??
An exciting 3-year PhD studentship at London South Bank University (LSBU), within the College of Technology and Environment (CTE), starting in September 2025.

The project will explore innovative solutions to tackle damp and mould in UK housing, a serious issue impacting building performance, health, and maintenance costs. Using Artificial Intelligence (AI) and digital twin technology, the research aims to develop a proactive early detection and intervention system with Wates Group .

?? What’s on offer:
?? Full tuition fee waiver
?? Tax-free annual stipend for 3 years
?? Opportunity to work on a project with real-world impact
?? Deadline to apply: 8th June 2025

Please share with your networks – or apply if this sounds like your next big step!
PhDOpportunity BuiltEnvironment AI DigitalTwins HousingInnovation Research HigherEducation LSBU NetZero HealthAndHousing

Fully Funded PhD Opportunity!

Know someone passionate about AI, digital twins, or smart buildings? London South Bank University (LSBU) is offering a 3-year, fully funded PhD to tackle damp and mould — silent threats affecting millions of UK homes.

This is a unique chance to drive real-world impact, collaborate with industry partners including Wates Group, and develop next-generation solutions to create healthier homes across the UK.

Why Apply?
? Full tuition fee waiver — open to UK & international students
?? Generous tax-free stipend — get paid to research!
?? Collaborate with industry partners— real-world impact
?? Access advanced training & resources — level up your expertise

Who Should Apply?
-Passionate about AI, digital twins, or smart buildings
-Background in computer science, engineering, or the built environment
-Skilled in Python, R, MATLAB, or similar
-Ready to start in September 2025 (minimum 2:1 honours degree or equivalent)

How to Apply:
?? Full project details: https://lnkd.in/emyRYEEe
?? Reference: CTE_PGR_CME_25_26_013
?? For Questions? Contact Frank Ato Ghansah, CETL, PhD at [email protected]
??? Application Deadline: 8 June 2025

PhD AI DigitalTwins SocialImpact LSBU ResearchOpportunity BuiltEnvironment Innovation SmartHousing FutureOfHousing
Chika Udeaja I Steve Coombs I Dr Ben Jowett I Richard Mardle I Christina Byrne (She/Her) I Magda Goncalves

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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