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University of Bristol

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PhD in Veterinary Epidemiology and Data Science on One Health AMU and AMR Data University of Bristol in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

PhD opportunity through the SWBio DTP and a CASE partnership with Welsh Lamb and Beef Producers; funding details are not stated in the post.

Deadline

Dec 2, 2026

Country flag

Country

United Kingdom

University

University of Bristol

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Keywords

Computer Science
Data Science
Epidemiology
Agriculture
Biology
Veterinary Science
Animal Husbandry
Antibiotic Resistance
Antibiotic Use
Salud Pública
One Health
Statistics

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About this position

Applications are now open for a PhD opportunity in veterinary epidemiology and data science at the University of Bristol, supervised by Professor Kristen Reyher through the SWBio DTP.

The project, “Using One Health AMU and AMR data to inform stewardship” (Project ID: 3594), addresses a major One Health challenge: the relationship between antimicrobial usage (AMU) and antimicrobial resistance (AMR). The research focuses on ruminant livestock and aims to use epidemiological, statistical, and data science approaches to understand how antimicrobial use and resistance patterns can inform stewardship and improve animal health, welfare, productivity, and broader One Health outcomes.

The project includes a CASE partnership with Welsh Lamb and Beef Producers, giving the student an applied, industry-linked research environment. This makes the opportunity especially relevant for students interested in veterinary science, animal health, epidemiology, quantitative analysis, and data-driven approaches to tackling antimicrobial resistance in agriculture.

Applicants should be prepared to work on a project combining veterinary epidemiology, AMU/AMR research, and data science. The post does not list detailed entry requirements, but the topic suggests a strong fit for candidates with backgrounds or interests in veterinary science, biology, statistics, public health, agriculture, and computational/data analysis.

Deadline: Wednesday 2 December 2026.

How to apply: review the project information at the provided project link, then submit your application through the SWBio DTP application page. The poster also invites potential applicants to get in touch with questions.

Funding details

PhD opportunity through the SWBio DTP and a CASE partnership with Welsh Lamb and Beef Producers; funding details are not stated in the post.

What's required

Applicants should be interested in veterinary epidemiology, antimicrobial usage and antimicrobial resistance, with ability or willingness to use epidemiological, statistical, and data science approaches. The project focuses on ruminant livestock and One Health stewardship, and is supervised through the SWBio DTP.

How to apply

Read more about the project using the project link, then apply through the SWBio DTP application link provided in the post. If you have questions, contact the poster directly.

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