Postdoctoral Research Associate (PDRA) in Functional Biodiversity(UK visa sponsorship available)
Job Description
About the Role
The University of Reading is seeking a Postdoctoral Research Associate (PDRA) in Functional Biodiversity to join the LEMONTREE project (Land Ecosystem Models based On New Theory, Observations and Experiments).
This role will focus on developing a theoretical basis for modelling functional biodiversity using eco-evolutionary optimality (EEO) theory. Key responsibilities include:
Conducting statistical analysis of plant trait data.
Developing theory linking functional trait diversity to environmental constraints.
Building and refining an EEO-based modelling framework.
Evaluating and optimizing model performance using field and laboratory experiments.
Collaborating with LEMONTREE researchers at the University of Reading, Imperial College London, and Tsinghua University.
Engaging with the wider LEMONTREE project team to advance the programme’s goals.
About You
The ideal candidate will have:
A PhD in environmental science or a related discipline (completed by the start date).
Strong knowledge of functional traits, biodiversity, and environmental controls.
Broad understanding of eco-evolutionary optimality concepts and modelling.
Programming skills relevant to data analysis and modelling.
Experience with data sources used in model evaluation.
A strong research background and publication record.
The ability to work independently, manage competing priorities, and meet strict deadlines
Additional Information
Sponsorship under the Skilled Worker Route (SWR) may be possible, subject to eligibility. Please check the UK Visas and Immigration website for requirements.
The University is committed to equality, diversity, and inclusion and holds Athena SWAN, Race Equality, and LGBT+ equality recognitions.
We are a Disability Confident Employer (Level 2) and welcome applications for job-share, part-time, or flexible working.
This is an exciting opportunity for a motivated researcher to contribute to cutting-edge biodiversity modelling and collaborate with leading international institutions.
