📍 Location: Exeter (UK)Â
đź—“ Duration: Mid-June – Mid-September 2025Â
đź’Ľ Format: Remote or OnsiteÂ
🌍 Sector: AgriTech / AI Innovation / SustainabilityÂ
đź’¸ Salary: Paid internshipÂ
Â
The Nature & Climate Impact Team (NCI Team) is an agile, impact-driven initiative accelerating climate and nature action across key sectors through science and innovative campaigns. We are an agile global unit with diverse experience, using an evidence-based strategy and innovative communications. The NCI Team is led by Professor Gail Whiteman as the inaugural Hoffmann Impact Professor for Accelerating Action on Nature & Climate. Research Impact Fellows are complimented by Communication Impact Fellows to help stakeholders understand the changes/opportunities and accelerate action. The Nature and Climate Impact Team is focusing on four industry sectors: food, digital tech, consumer package goods and electronics, and comms.  Â
As a Food Systems & A.I. Innovation Intern, you’ll support the development of two transformational tools: a nature-oriented large language model (LLM) and a data-driven platform to optimize agricultural production and distribution. You’ll gain hands-on experience at the frontier of sustainability, AI, and regenerative agriculture, working alongside experts from academia, international development, and tech.Â
Â
Conduct literature reviews on regenerative agriculture, supply chains, and agricultural economicsÂ
Conduct literature reviews on regenerative agriculture, supply chains, and agricultural economicsÂ
Conduct literature reviews on regenerative agriculture, supply chains, and agricultural economicsÂ
Collect and analyze data on soil health, crop yields, biodiversity, and climate metricsÂ
Collect and analyze data on soil health, crop yields, biodiversity, and climate metricsÂ
Collect and analyze data on soil health, crop yields, biodiversity, and climate metricsÂ
Document and compare regenerative vs. conventional farming approachesÂ
Document and compare regenerative vs. conventional farming approachesÂ
Document and compare regenerative vs. conventional farming approachesÂ
Assist in experimental design for LLM model validationÂ
Assist in experimental design for LLM model validationÂ
Assist in experimental design for LLM model validationÂ
Map stakeholders in agricultural value chains across Africa for a digital marketplaceÂ
Map stakeholders in agricultural value chains across Africa for a digital marketplaceÂ
Map stakeholders in agricultural value chains across Africa for a digital marketplaceÂ
Collaborate closely with the Digital Technology Research Impact Fellow on tool developmentÂ
Collaborate closely with the Digital Technology Research Impact Fellow on tool developmentÂ
Collaborate closely with the Digital Technology Research Impact Fellow on tool developmentÂ
Copyright © 2026 Grabjobs Pte.Ltd. All Rights Reserved.