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University of Cambridge PhD Studentship
PhD Studentship in Growing AI for Sustainable Agriculture University of Cambridge in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 21, 2026
Country
United Kingdom
University
University of Cambridge

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About this position
PhD studentship at the University of Cambridge in Growing AI, focused on building a human-centred, AI-powered decision support system for agriculture and sustainable farming.
The project explores how to combine multimodal data such as crop yield, local practice, sensor data, commodity prices, and weather predictions to generate bespoke advice for individual farmers. The research sits at the intersection of computer science, machine learning, human-computer interaction, and agricultural decision support, with a strong emphasis on profitability and environmental restoration.
The studentship is supported by a collaborative agreement between Hutchinsons and LEAF (Linking Environment And Farming), giving the successful candidate access to expert knowledge and relevant data from both organisations.
This is a funded PhD opportunity for eligible home students. It covers fees and a stipend. Applicants should have, or expect to obtain by the start date, at least a good 2.1 degree in Engineering or Computer Science. Desired experience includes strong programming and software skills, awareness of machine learning theory and techniques, experience with large multimodal datasets, and interest in human-centred system design.
To apply, send a two-page CV and one-page covering letter to Per Ola Kristensson and John Dudley by 21 August 2026. Include [CAM-GROWING-AI] in the email subject. Shortlisted candidates will then need to submit a separate application through the University of Cambridge postgraduate application portal. Note that the portal carries a £20 application fee.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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