Join to apply for the Fully Funded 4 Year PhD Studentship role at UKRI AI CDT SUSTAIN
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Join to apply for the Fully Funded 4 Year PhD Studentship role at UKRI AI CDT SUSTAIN
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The SUSTAIN Centre for Doctoral Training (CDT) empowers the next generation of AI scientists to invent, develop and deploy technologies, co-created with growers and agri-food practitioners. This opportunity is for a fully-funded PhD, working at the University of Lincoln on the following project: AR2MS – Automated Robotic Rapid evaporative ionisation mass spectrometry Meat Sampling.
About the AR2MS Project:
Meat continues to be a vital source of protein for many people.As awareness grows about the environmental impacts of meat production, consumers are increasingly seeking meat that is not only high quality but also produced with lower environmental impacts and higher ethical standards. Automated quality control is crucial for meeting these evolving consumer demands while minimising environmental impact and maximising production efficiency.
The Automated Robotic Rapid Evaporative Ionization Mass Spectrometry Meat Sampling (AR 2 MS) project is set to revolutionise this space. By developing and applying cutting edge machine learning methods for computer vision, robot control and rapid mass spectrometry data analysis, AR 2 MS will provide instant assessments of meat quality, geographical origin, and breed. This innovative project, in collaboration with a major meat producer and a provider of scientific testing solutions, aims to deliver a commercially viable system ready for deployment.
Key research areas include machine learning methods for robot perception and control, AI data analysis and decision-making from rapid mass spectrometry data. The successful candidate will work closely with a multidisciplinary team of experts in AI, robotics, mass spectrometry and food manufacturing. They will also collaborate with the Research and Development team at Cranswick PLC, a leading meat producer, and receive support from the scientific testing provider to develop the computational models needed for the quality control system.
We are excited to offer training for PhD students who may not yet have expertise in areas such as machine learning, robotics, or rapid mass spectrometry. This project provides an excellent opportunity for the successful candidate to gain valuable skills in computer vision, robotics, digital modelling, data management, systems integration, and exposure to analytical systems used in food production.
Join us in shaping the future of sustainable and ethical food production!
SUSTAIN AI CDT Studentship Package:
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.
* All PhD tuition fees paid
* A tax-free stipend at UKRI rates to cover living costs ( £20,780 for 2025/26 academic year)
* A Research Training Support Grant (RTSG) of £3,000 each year to support travel, training and consumables costs (up to £12,000)
* Additional funding to support outreach and dissemination, attendance at summer schools, research events and development projects.
* For full-time students, this PhD Studentship is 4 years. Part-time study is also available.
Eligibility Requirements:
* Due to funder restrictions, this project is currently accepting applications from home applicants only .
* A minimum first class or 2:1 Bachelor's degree or MSc with merit in a relevant subject area.
* Non-native English speakers must hold a minimum qualification equivalent to IELTs 6.5. A Bachelor's or Master's degree from an English-speaking University will also be considered.
Find out more about eligibility requirements and how to apply here: https://www.sustain-cdt.ai/apply
Application deadline: Tuesday 22nd July 2025
Interview dates: TBC
Enquiries: SUSTAIN@lincoln.ac.uk
Seniority level
* Seniority level
Internship
Employment type
* Employment type
Full-time
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Research, Analyst, and Information Technology
* Industries
Higher Education
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