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AI-enhanced climate storylines for agricultural adaptation and resilience

Coventry University Centre for Agroecology, Water 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)

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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