Research Associate in Heat and Health Modelling

Overview

In this role you will build a coherent research program on how climate change drives health impacts during heatwaves. You will work within the EUROASIS consortium at Imperial to harmonise datasets, estimate heat-related burdens, and develop advanced statistical models for data-sparse contexts. You’ll implement a reproducible methodological pipeline for European cities and contribute to rapid attribution studies during heat events. The role blends climate science, epidemiology and public health to inform heat resilience strategies.

Pay / Benefits

• sector-leading salary
• generous annual leave
• pension scheme
• opportunities for publication
• career development support
• inclusive and collaborative culture

Responsibilities

• Develop and lead a research programme on climate change and health impacts during heatwaves
• Assemble, harmonise and analyse climate and health datasets across European and international settings
• Estimate heat-related mortality and morbidity burdens and create evidence-synthesis models
• Develop methodological pipelines for heat-related health impact assessment in cities
• Conduct and lead rapid attribution analyses during heatwaves
• Apply advanced statistical methods (case-crossover, DLNM, Bayesian hierarchical models) and ensure reproducible science
• Publish in high-quality journals and present findings to scientists, policymakers and the public

Key requirements

• PhD in statistics, epidemiology, environmental health or closely related discipline (or equivalent experience)
• Publication track in relevant refereed journals
• Experience with epidemiological designs (cohort, case-crossover)
• Knowledge of Bayesian hierarchical models and relevant software
• Familiarity with climate-health interfaces and ideally climate attribution research
• Strong statistics skills (regression, DLNM, hierarchical models, machine learning) and proficiency in R
• Excellent data-wrangling skills with environmental and climate datasets
• Strong written and verbal communication; ability to present to diverse audiences
• Ability to prioritise work, meet deadlines, and work flexibly in a team
• Willingness to travel within the UK and internationally

• collaborative mindset
• clear communication
• problem-solving under deadlines
• R
• Bayesian hierarchical models
• distributed lag non-linear models

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