Postdoctoral Research Associate in AI for Equitable Disease Modelling — KCL Ref. 147007 Position
Centre for Ultrastructural Imaging
The postdoctoral researcher will join the GeoAI for Health Equity Lab and contribute to a UKRI Future Leaders Fellowship project that integrates equity into infectious disease modelling and surveillance.
The application window for this cycle has ended. The programme page tracks the next cycle.
This application cycle is archived.
Vacancy terms
- Career stage
- Postdoctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- 3.5 years, with potential extension
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- GBP 47,379 per year, including London Weighting Allowance (currency not stated)
- Department or school
- Infectious disease modelling; Spatial AI; GeoAI; Public health; Environmental health; Mathematical modelling; Health equity
- Posted
- 18 May 2026
Responsibilities
- Develop computational and mathematical models to quantify and predict infectious disease risk.
- Integrate high-resolution socio-ecological, environmental, and health data.
- Develop spatial data-driven methods for public health surveillance and pandemic preparedness.
- Support development of a real-time spatial AI system for early detection and risk prediction.
- Collaborate with UK and international public health and university partners.
Qualifications and requirements
Qualifications
- PhD in applied mathematics, statistics, engineering, computational biology, or a related discipline.
- Specialisation relevant to infectious disease modelling, environmental health, public health, or global health.
- Experience developing complex models with real-world data.
- Strong R or Python programming skills and experience with version control such as Git.
- Familiarity with spatial or statistical libraries such as INLA, PyMC, scikit-learn, or GeoPandas.
- Peer-reviewed publication record and strong communication skills.
Requirements
- PhD in applied mathematics, statistics, engineering, computational biology, or a related discipline.
- Specialisation relevant to infectious disease modelling, environmental health, public health, or global health.
- Experience developing complex models with real-world data.
- Strong R or Python programming skills and experience with version control such as Git.
- Familiarity with spatial or statistical libraries such as INLA, PyMC, scikit-learn, or GeoPandas.
- Peer-reviewed publication record and strong communication skills.
Documents and steps
Documents
- Supporting statement addressing the essential criteria.
- Curriculum vitae.
- Evidence against desirable criteria where possible.
Steps
Review the official KCL vacancy page
Submit the application through the official university recruitment portal
Why this vacancy is published
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Postdoctoral Research Associate in AI for Equitable Disease Modelling — KCL Ref. 147007 Position
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Programme overview and cycle history