Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now
Biological Sciences (4) Computer Science (8) Geology (18) Mathematics (25)
UKRI AI Centre for Doctoral Training in Sustainable Understandable agri-food Systems Transformed by Artificial Intelligence (SUSTAIN)

UKRI AI Centre for Doctoral Training in Sustainable Understandable agri-food Systems Transformed by Artificial Intelligence (SUSTAIN)

Are you aspiring to change the world through AI?

Applications are invited for fully-funded four-year PhD studentships to join the SUSTAIN doctoral training program conducting research in the application of Artificial Intelligence to sustainable agri-food. This prestigious centre is a collaboration between the Universities of Lincoln, Aberdeen, Queen’s Belfast and Strathclyde, supported by industry leaders across the UK and globally.

There are five remaining studentships available as part of the second cohort, starting in October 2025. Sixty studentships will be awarded, in total, over five years. Applications for our 2025 cohort are now open.

Programme Structure

Students will study a 4-year PhD at their chosen host institution (either the University of Lincoln, University of Aberdeen, Queen’s University Belfast or the University of Strathclyde), investigating a research area that links both an identified industry need and individual academic interests, helping to develop a new generation of AI systems across the food supply chain. There are a number of exciting research projects listed on the SUSTAIN website for students to consider.

Find Out More

Why SUSTAIN?

Bringing together the expertise and resources of our four academic institutions, SUSTAIN spans the landscape of UK agriculture, critical AI research areas, and the national geography of England, Scotland, and Northern Ireland. It provides training in technical and social science aspects of AI, alongside training in plant, animal and/or biosciences, tailored to individual students’ needs and interests.

Our fully-funded studentship package includes:

  • All PhD tuition fees paid.
  • A tax-free stipend at UKRI rates to cover living costs.
  • A Research Training Support Grant (RTSG) of £3,000 each year to support travel, training and consumables costs (up to £12,000 in total).
  • Additional funding to support outreach and dissemination, attendance at summer schools, research events, and development projects.

Students can also benefit from:

  • The opportunity to develop their career, working alongside and in collaboration with academic and industry specialists.
  • Internships, project work and engagement opportunities with world-leading companies who are interested in both research collaboration and in working with CDT-trained graduates.
  • The chance to make a real difference by helping to address the challenges facing the global agri-food industry, through application and/or consideration of AI: climate change, population growth, political pressures affecting migration, and the demographics of an ageing population.

Applications

Applications for our 2025 cohort are now open.

Deadline for applications is Friday 24th January 12pm (GMT). To apply, please visit our website.

Register Interest

If you are a dynamic, focussed graduate who either holds or is predicted, a minimum upper second-class honours degree, then file your application to be part of the AI-enhanced food production revolution! Visit the SUSTAIN website to find out more.

For further enquiries, please contact the SUSTAIN Team at SUSTAIN@lincoln.ac.uk.

Please be sure to check the eligibility criteria on the SUSTAIN website.

The SUSTAIN CDT is funded by UK Research and Innovation (UKRI).

Please see Student Eligibility here

UKRI AI Centre for Doctoral Training in Sustainable Understandable agri-food Systems Transformed by Artificial Intelligence (SUSTAIN)

PhD projects available:

Project Q1212: Flavour-centric Innovation for Cultivated Meat: Bridging the Sensory Gap in Cellular Agriculture (Dr Tassos Koidis, Queen’s University Belfast)Details
Project Q2125: Combining Hazard Prediction and Animal and Plant Health Diagnostics for Enhanced One-Health Decision Support Under Climate Change (Prof Eric Morgan, Queen's University Belfast)Details
Project Q2229: Harnessing AI Tools and DNA-based Monitoring to Enhance Arthropod Biodiversity AssessmentsDetails
Project Q1104: Data and Knowledge Dual-Driven Artificial Intelligence in Remote Sensing (Dr Anna Jurek-Loughrey, Queen’s University Belfast)Details
Project Q1110: Multi-Object Visual Tracking (MOT) of Animals in AgricultureDetails
Project A2226: Modelling the Impact of Regenerative Land Practices on Carbon Sequestration in Drought Affected Soils Using Machine Learning and Remote Sensing DataDetails
Project A2228: Clear and sound: combining image analysis and bioacoustics to link pollinators traffic with fruit set and harvestDetails
Project A2230: Leveraging Airborne and Ground-Based Drones, Canopy Modelling, Digital Twin Technology, and AI Robotics for Climate-Adaptive Vineyard Management in UK Viticulture.Details
Project A2227: Quantitative Verification of Supply Chain Models in the Agri-Food Efficiency SystemsDetails
Project S2119: AI for the Decarbonisation of the Dairy Sector: Heat Recovery and Energy Harvesting (Prof Lina Stankovic, University of Strathclyde) (Home Applicants Only)Details
Project S2121: A Machine Learning Accelerated Spectral Matching Algorithm to Identify Harmful Algal Blooms and Other Threats to Aquaculture Operations. (Dr David McKee, University of Strathclyde) (Home Applicants Only)Details