We seek a Senior Research Associate to investigate the causes and consequences of extreme wildfires. The role will involve applying machine learning to study the drivers, trends and impacts of wildfire on society and the environment, using cutting-edge environmental datasets such as Earth observations from satellite remote sensing, meteorological and climate data, and mapped socioeconomic, land cover, and ecological information. You will work towards delivering a prototype system for predicting the most extreme forms of wildfire that occur on Earth, including megafires.
This is a data analysis and modelling position suitable for researchers working in the general areas of Earth system science, environmental data science, or climate impacts research. Applicants with a background in other highly quantitative and analytical disciplines, but an enthusiasm for studying extreme climate hazards, will also be considered. A background in data analysis, statistical modelling, and machine learning is essential.
This work will be conducted as part of a research team exploring the frontiers of knowledge on extreme wildfires and their impacts. The role comes with additional opportunities to contribute to the State of Wildfires Project, an international collaboration spanning 60 institutions worldwide and co-led by Dr Matthew Jones at UEA. The post is connected to a project involving industrial partners in the insurance and carbon market sectors, offering opportunities to engage with key stakeholders in wildfire risk research, and to explore career opportunities beyond academia.
To find out more and to apply, please click here.
Closing date: 5 January 2026
