Publisher
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University College London

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PhD in Uncertainty in Urban Heat Risk, Thermal Exposure, Social Vulnerability and Adaptation University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition-funded PhD project under the UNRISK CDT. Offers 15–18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 per student of cohort-level training, and a Flexible Fund for special projects.

Deadline

Jan 13, 2027

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Country

United Kingdom

University

University College London

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Keywords

Computer Science
Data Science
Environmental Science
Sociology
Remote Sensing
Geography
Mathematical Modeling
Mixed Methods Research
Ethnography
Adaptation
Hierarchical Modeling
Social Vulnerability
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About this position

PhD opportunity at University College London in the Department of Geography on uncertainty in urban heat risk, focusing on thermal exposure, social vulnerability, and adaptation in Tier-II Indian cities.

The project examines how urban heat risk can be estimated more realistically in data-sparse Indian cities by combining satellite-derived heat anomalies, spatial validation uncertainty, household surveys, and institutional process-tracing. It aims to build an uncertainty-quantified, neighbourhood-scale evidence base for understanding where heat-risk estimates are reliable, where they are uncertain, and how uncertainty shapes inequality and adaptation priorities.

Research methods include remote sensing, geoAI modelling, hierarchical Bayesian analysis, mixed-methods investigation, and ethnographic fieldwork in Indian cities. The project sits within the UNRISK CDT and is supervised by Dr Stephen Law and Dr Pushpa Arabindoo.

Funding: fully funded NERC studentship with full tuition fees, UKRI-rate stipend, research and training costs, cohort training support, and a Flexible Fund.

Eligibility: applicants should have a strong background in geography or remote sensing, with the ability to work across physical and human sciences. Experience or interest in geoAI and fieldwork is desirable.

Location: London, United Kingdom.

Application: applications are open to UK and international applicants, with limited awards for international applicants under UKRI rules. Deadline shown on the listing: 13 January 2027.

Funding details

Competition-funded PhD project under the UNRISK CDT. Offers 15–18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 per student of cohort-level training, and a Flexible Fund for special projects.

What's required

Applicants should have a strong background in geography or remote sensing and be able to combine mixed-methods research across physical and human sciences. A good understanding of geoAI modelling and the ability to conduct ethnographic fieldwork in Indian cities is ideal. Applications are open to UK and international applicants, though international applicants must cover student visa and international health surcharge costs.

How to apply

Review the UNRISK website and the FindAPhD project page, then apply through the programme/application route provided there. Check the project details and eligibility carefully before submitting your application.

More information can be found here

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