CU
AI-enhanced climate storylines for agricultural adaptation and resilience
✓ Fully Funded
⏰ Closing Soon
🎓 Agricultural Sciences
🎓 Agricultural Technology
AI
machine learning
climate change
environmental modelling
agriculture
climate risk
Fully funded PhD developing AI-driven climate storylines to support agricultural adaptation and resilience to climate extremes.
Project Description
This PhD project focuses on developing a novel AI-enhanced framework for generating high-resolution climate storylines tailored to agricultural adaptation.
The research will combine machine learning-based downscaling of climate model outputs with AI-driven pattern recognition to identify extreme climate events relevant to agriculture. These storylines will be co-developed with stakeholders to ensure relevance for real-world decision-making in farming and land-use planning.
The project will explore how AI can improve climate projections, integrate local agricultural knowledge, and support decision-making under climate uncertainty.
Entry Requirements
• Minimum 2:1 degree in a relevant field
• Strong quantitative skills (e.g. machine learning, statistics, environmental modelling)
• Experience with Python or R (or willingness to learn)
• Interest in climate change, agriculture, and data analysis
• IELTS 7.0 overall (if required)
• Strong quantitative skills (e.g. machine learning, statistics, environmental modelling)
• Experience with Python or R (or willingness to learn)
• Interest in climate change, agriculture, and data analysis
• IELTS 7.0 overall (if required)
How to Apply
Contact supervisor and submit full application including covering letter and 2000-word supporting statement.
Eligibility
UK/Home
EU
International
Supervisor Profile
DJ
Dr J Eden
Coventry University, Centre for Agroecology, Water and Resilience
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