AI-enhanced climate storylines for agricultural adaptation and resilience

This PhD project develops a novel AI-driven framework to generate high-resolution climate storylines tailored to agricultural systems facing climate change. The research addresses the challenge of translating climate projections into practical, decision-relevant insights for farming and land-use planning. The project will: apply machine learning for climate model downscaling analyse extreme climate events (droughts, floods, heatwaves) develop AI-enhanced climate storylines integrate stakeholder input (farmers, policymakers, planners) explore agentic AI for analysing complex climate datasets co-produce practical adaptation tools for agriculture Key research questions include: how AI can improve climate storyline generation which climate drivers most affect agriculture how to integrate local knowledge into modelling how AI can support decision-making and climate communication This is a cotutelle PhD, meaning: joint supervision between Coventry University (UK) and Deakin University (Australia) dual PhD degrees awarded

Applicants must meet admission and scholarship criteria for both Coventry University and Deakin University for the cotutelle program. Requirements include: graduating in the top 15% of the undergraduate cohort or holding a relevant Masters with Distinction and significant research component. Language proficiency (IELTS 7.0 overall, minimum 6.5 each component) is required. Candidates should have strong quantitative skills, experience in statistical modelling, machine learning, climate data analysis, or environmental modelling, and proficiency or willingness to learn Python or R. Interest in climate change and agricultural systems is essential.

Contact for enquiries:

ac6218@coventry.ac.uk

Application requires:

full supporting documents
cover letter
2000-word supporting statement