King’s College London invites applications for a Postdoctoral Research Associate (PDRA) in GeoAI and Spatial Epidemiology to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders Fellowship project which focusses on integrating equity considerations into infectious disease mapping and surveillance, starting with the UK. The PDRA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, and John Hopkins University (USA).

The PDRA will advance next-generation mapping methods for equitable and intelligent epidemic surveillance, contributing to the development of scalable GeoAI systems that improve understanding of infectious diseases and health risks across populations and space. The PDRA will contribute to the development of a database of high-resolution equity indicators and apply cutting-edge GeoAI and spatial data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals and population groups.

Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance and pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally.

This is a full-time post (35 hours per week), and you will be offered a 3.5-years fixed-term contract with a potential opportunity to extend. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development.

Essential criteria
-PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline.
-Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas).
-Proven ability to work independently.
-Track record in publishing peer-reviewed papers.
-Demonstrated ability to collaborate effectively within teams, with a strong commitment to fostering a fair and inclusive work environment.
Excellent written and oral communication skills, including to diverse audiences.

Desirable criteria
-Experience managing stakeholder relationships and working in a practitioner/policy context.
-Experience working on interdisciplinary research projects.