PDRA in EEO Fire Modelling(UK Visa Sponsorship)
Job Description
About the Project
The University of Reading is seeking a Postdoctoral Research Associate to join the LEMONTREE project (Land Ecosystem Models based On New Theory, observations and Experiments). This interdisciplinary research programme brings together theory, observation, and experimentation to advance understanding of ecosystem dynamics.
This role focuses on developing a new generation of wildfire–vegetation models grounded in eco-evolutionary optimality (EEO) theory. You will work as part of a collaborative team of environmental scientists, contributing directly to theoretical development, model implementation, and experimental evaluation.
Your Role in the Project
As PDRA in EEO Fire Modelling, you will take a lead role in extending an existing EEO modelling framework to simulate wildfire processes at a weekly temporal resolution. Your work will combine ecological theory, computational modelling, and empirical validation.
Key responsibilities include:
Developing wildfire modules within the EEO framework, including:
- Vegetation cover dynamics
- Fuel load accumulation and drying
- Propensity to burn and fire occurrence
- Implementing and refining model code using R and Python
- Evaluating model performance using data from field and laboratory experiments
- Optimising model behaviour through statistical and process-based approaches
- Contributing to publications and wider dissemination of project findings
About You
You will be well suited to this role if you can demonstrate:
- A PhD (awarded by start date) in Environmental Science or a closely related discipline
- A strong understanding of environmental controls on wildfire behaviour
- Familiarity with current statistical and process-based wildfire modelling approaches
- A working knowledge of eco-evolutionary optimality concepts and modelling
- Strong programming skills, particularly in R and Python
- Experience with statistical methods for model evaluation and validation
- A developing research profile with publications or demonstrable outputs
- The ability to work independently, manage competing priorities, and meet project deadlines
Visa Information
By reference to the applicable Standard Occupational Classification (SOC) code, sponsorship may be possible under the Skilled Worker route. Applicants considering this option should ensure they meet the required points threshold before applying.
 Skilled Worker visa guidance
Equality, Diversity & Inclusion
The University of Reading is committed to creating an inclusive research environment. We proudly support the Athena SWAN Charter, the Race Equality Charter, and LGBT+ equality, and we are a Disability Confident Employer (Level 2). Applications for flexible working arrangements, including job-share and part-time working, are welcomed and considered in line with business needs.
Useful Government & External Resources
You may find the following resources helpful when considering this role and its wider policy context:
- UK wildfire risk and climate adaptation policy
- Natural environment and ecosystems research (UKRI)
- UK climate and environmental data services
- UK Net Zero and climate science policy
- Equality Act 2010 guidance
