PhD Studentship: Modelling Climatic Variables and their Impact on Health Outcomes

Core responsibilities:

• Develop tools and techniques from AI and mathematics/statistics to identify changes in climatic variables and their impact on biological, environmental and socioeconomic indicators
• Work on high dimensional spatial time series data and provide a multi-disciplinary, multivariate approach to study climate-health interaction
• Develop mathematical and AI based skills for deriving advanced modelling framework to capture the interplay between climatic variables
• Develop and implement advanced models on available spatio-temporal data to assess the effect of climatic variables on health/socio-economic outcomes

This role contributes to understanding climate change and its relation to environmental variables and quality of human life, with real-world applications in health research through advanced statistical modelling of spatio-temporal data.

Required qualifications and skills:

• MSc in Statistics, Mathematics, or allied areas with substantial background in statistics
• Skill in R programming substantiated by curriculum taken and/or projects
• Proficiency in oral & written communication in English
• At least a 2.1 honours degree or a master's (or international equivalent) in a relevant science or engineering related discipline

Compensation and perks:

• Annual tax-free stipend of £20,780 (UKRI rate for 2025/26)
• Tuition fees paid
• Stipend expected to increase each year
• Access to state-of-the-art facilities and resources
• Supportive and collaborative research environment
• Expert guidance and mentorship from leading professionals
• Opportunity to conduct pioneering research with real-world applications