CARE: Climate Risk Evaluation Using Participatory Mapping for Flood-Prone and Data-Scarce Environments (Ref: FCDT-26-LU3)

This PhD project at Loughborough University, titled 'CARE: Climate Risk Evaluation Using Participatory Mapping for Flood-Prone and Data-Scarce Environments,' addresses the urgent challenge of urban flooding and its disproportionate impact on vulnerable communities. Traditional flood risk models often focus narrowly on physical hazards, overlooking the lived experiences and coping strategies of those most affected. The project aims to develop fairer, more inclusive, and scientifically robust approaches to mapping urban flood risk by integrating community knowledge with advanced geospatial data science and disaster risk reduction methods. Supported by UNITAC and academic partners, the successful candidate will co-design participatory workshops with residents in flood-prone cities, gathering insights about local risks, safe and unsafe spaces, and community coping mechanisms. These insights will be digitised and scaled using open datasets such as WorldPop, OpenStreetMap, and satellite imagery, alongside advanced tools including GIS, Python, R, and small area estimation techniques. The resulting high-resolution risk maps will combine hazard, exposure, and vulnerability data to inform more effective and equitable flood risk management. The project is part of the Centre for Doctoral Training for Resilient Flood Futures (FLOOD-CDT) and offers a supportive, inclusive research environment, welcoming applicants from diverse backgrounds. Funding is provided through a UKRI Flood-CDT studentship, covering a tax-free stipend of £20,780 per annum and UK tuition fees for 3.5 years, with additional support for international candidates. Applicants should hold or expect to obtain a strong undergraduate or Master’s degree in a relevant field and meet English language requirements. The application process involves submitting a statement of research interests, CV, academic transcripts, and language certificates. The project is ideal for candidates interested in combining community engagement, data science, and urban planning to address climate-related challenges.