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Kate Kemsley

8 months ago

PhD Studentship: Chemical Markers of Deforestation in Global Food Supply Chains (CASE project with Fera Science) University of East Anglia in United Kingdom

Degree Level

PhD

Field of study

Data Science

Funding

Full funding available

Deadline

Expired

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Country

United Kingdom

University

University of East Anglia

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Keywords

Data Science
Chemistry
Environmental Science
Forestry
Spectroscopy
Artificial Intelligence
Earth Science
Multivariate Analysis
Stable Isotope Analysis
Coffee Production
Food Industry
Isotopic Analysis
Molecular Marker
Vegetable
Machine learning

About this position

[Fully-funded studentship covering fees, maintenance stipend (£20,780 p.a. for 2025/26), and research training and support grant (RTSG). International applicants may have the difference between 'home' and 'international' fees waived. ARIES funding does not cover relocation, visa, or health surcharge costs.] This PhD studentship at the University of East Anglia investigates the chemical and isotopic markers of deforestation in global food supply chains, with a particular focus on Forest Risk Commodities (FRCs) such as soy, palm oil, and coffee. The project responds to the urgent need for scientific methods to verify the origins of FRCs and support deforestation-free supply chains, in light of new EU Deforestation Regulations. The research will employ advanced analytical methodologies, including stable isotope analysis and high-throughput spectroscopic techniques, to detect and identify trace chemical signatures left by land-use changes such as forest clearing and burning. Training will be provided in instrumental analysis using the UEA Science Analytical Facilities, as well as in data science approaches like multivariate analysis, machine learning, and AI for interpreting complex datasets. The student will benefit from interdisciplinary supervision across the Schools of Chemistry, Pharmacy & Pharmacology, and Environmental Sciences, gaining experience in both laboratory and computational research. Two three-month secondments at Fera Science in York will provide access to industry expertise and instrumentation within the Food Authenticity team. The project also offers opportunities for networking with collaborative partners such as World Forest ID and other stakeholders. Applicants should have a strong background in chemical or environmental analysis, numeracy, and ideally experience in statistical or mathematical programming. Entry requirements include a UK equivalent Bachelors (Honours) 2:1 degree in a relevant subject and English language proficiency (IELTS 6.5 overall, 6 in each category). The studentship is fully funded for eligible UK and international candidates, covering tuition fees, a maintenance stipend (£20,780 p.a. for 2025/26), and a research training and support grant. International students may have the fee difference waived, but relocation, visa, and health surcharge costs are not covered. The position starts on 1 October 2026, and applications are open until 7 January 2025. For more information and to apply, visit the UEA postgraduate research application portal.

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.

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