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Anna Mavrogianni

4 days ago

UCL EPSRC Doctoral Landscape Award (UELA) Studentships

PhD in Data-Driven Housing Risk Modelling for Healthier Homes Using Machine Learning University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The opportunity is associated with the UCL EPSRC Doctoral Landscape Award (UELA) Studentships. Specific stipend and tuition coverage details are not stated in the post. Applications are restricted to Home fees candidates.

Deadline

Jan 8, 2027

Country flag

Country

United Kingdom

University

University College London

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Keywords

Computer Science
Data Science
Epidemiology
Environmental Science
Architecture
Building Physics
Salud Pública
Architectural Engineering
Indoor Environment
Statistics
ML

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About this position

UCL is offering a PhD project in data-driven housing risk modelling for healthier homes at the Great Ormond Street Institute of Child Health. The research will use machine learning to predict damp and mould risk across the English housing stock, drawing on datasets such as the English Housing Survey.

The project will integrate dwelling and household characteristics, climate change scenarios and neighbourhood factors to develop robust, explainable and transferable prediction models. Models will be validated across multiple datasets, including the UK Longitudinal Linkage Collaboration, a secure platform linking longitudinal population studies with administrative health, housing and environmental data.

Research outputs will include novel machine learning methods and analytical tools for housing risk assessment, together with evidence on the health impacts of poor indoor environments. The supervisory team comprises Professors Pia Hardelid, Anna Mavrogianni, Hector Altamirano-Medina and Jessica Sheringham, with expertise spanning architectural engineering, building physics, statistics and public health. The project will also involve collaboration with local authorities and housing organisations.

Applicants should have a strong interest in public health, an MSc in engineering, statistics, data science, epidemiology or a related discipline, strong programming skills, and experience with machine learning and large, complex datasets. The project is open only to Home fees candidates and is linked to the UCL EPSRC Doctoral Landscape Award (UELA) Studentships. The application deadline is 8 January 2027.

Funding details

The opportunity is associated with the UCL EPSRC Doctoral Landscape Award (UELA) Studentships. Specific stipend and tuition coverage details are not stated in the post. Applications are restricted to Home fees candidates.

What's required

Applicants should have a keen interest in public health, an MSc in engineering, statistics, data science, epidemiology or a related field, strong programming skills, and experience with machine learning and managing and analysing large, complex datasets. The project is open only to candidates eligible for Home fees.

How to apply

Review the application information at https://lnkd.in/e7XZ94DH. Consult the UCL project catalogue at https://lnkd.in/eS7jBRMi and search for project 2531cs1088. Submit the application by 8 January 2027.

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Professors

Professor

University Name
Country flag

United Kingdom

Research Interests

Statistics

Epidemiology

Environmental Science

Computer Science

Architecture

Professor

University Name
Country flag

United Kingdom

Research Interests

Epidemiology

Statistics

Environmental Science

Salud Pública

Indoor Environment

Professor

University Name
Country flag

United Kingdom

Research Interests

Epidemiology

Statistics

Indoor Environment

Salud Pública

Computer Science

Professor

University Name
Country flag

United Kingdom

Research Interests

Health Communication

Health Economics

Population Health

Asthma

Patient-centered Care