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Miriam Casey

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Fully Funded PhD in Bovine Tuberculosis Modelling at University College Dublin University College Dublin in Ireland

I am recruiting a fully funded PhD student in bovine tuberculosis modelling at University College Dublin.

University College Dublin

Ireland

Jan 26, 2026

Keywords

Epidemiology
Biostatistics
Biology
Mathematics
Veterinary Science
Animal Husbandry
Medical Science
One Health
Statistics
Statistical Modelling

Description

The University College Dublin (UCD) School of Veterinary Medicine, in collaboration with the School of Mathematics and Statistics, is offering a fully funded PhD position focused on 'Individual bovine variation in the transmission and diagnosis of Mycobacterium bovis.' This interdisciplinary project aims to advance understanding of animal-level variation in the transmission and diagnosis of bovine tuberculosis (bTB), a disease with significant impacts on livestock industries and wildlife conservation worldwide. The successful candidate will apply statistical and mechanistic modelling to large datasets, working closely with supervisors Dr Miriam Casey (UCD School of Veterinary Medicine) and Dr Michael Fop (UCD School of Mathematics and Statistics). The research will quantify heterogeneities in disease progression, infectiousness, and diagnostic test responses among cattle, with the goal of informing targeted interventions for bTB control. The project offers opportunities for engagement with control programme managers and policy makers, and will develop interdisciplinary skills in infectious disease epidemiology, biostatistics, and One Health approaches. Applicants should hold (or expect to obtain) at least a 2:1 honours degree in a relevant biological science (e.g., veterinary medicine, medicine, ecology, agricultural science) with strong quantitative and programming skills, or a degree in statistics, mathematics, applied mathematics, computer science, or a related STEM discipline with a strong interest in biological sciences. Proficiency in statistical modelling and experience with R and/or Python (or similar) is required. A relevant Master’s degree (e.g., infectious disease epidemiology or biostatistics) is desirable. Non-native English speakers must meet UCD's English language requirements. The position is fully funded, offering a tax-free stipend of €25,000 per year, plus additional allowances for tuition fees, training, travel, and equipment. The PhD will start in May 2026, with a deadline for applications on 26th January 2026. To apply, candidates should email Dr Miriam Casey ([email protected]) with a comprehensive CV, academic transcripts, and a cover letter/statement of purpose (max 2 pages) explaining their fit and motivation. The subject line should read: 'PhD application - bTB modeling [Your Name]'. Only shortlisted candidates will be contacted. Informal queries can also be directed to Dr Casey. This opportunity is ideal for candidates interested in veterinary science, infectious disease modelling, epidemiology, and quantitative approaches to animal health. UCD is one of Europe’s leading research-intensive universities, offering a vibrant and diverse academic environment.

Funding

Fully funded PhD with an annual tax-free stipend of €25,000, plus an additional allowance for tuition fees, training, travel, and equipment.

How to apply

Email Dr Miriam Casey at [email protected] with a comprehensive CV, academic transcripts, and a cover letter/statement of purpose (max 2 pages) explaining your fit and motivation. Use the subject line: 'PhD application - bTB modeling [Your Name]'. Only shortlisted candidates will be contacted.

Requirements

Applicants should have (or expect to obtain) at least a 2:1 honours degree in biological sciences (such as veterinary medicine, medicine, ecology, agricultural science, or a related discipline) with strong quantitative and programming skills, or a degree in statistics, mathematics, applied mathematics, computer science, or a related STEM discipline with an interest in biological sciences. Proficiency in statistical modelling and experience with R and/or Python (or similar) is required. A relevant Master’s degree (e.g., infectious disease epidemiology or biostatistics) is desirable. Applicants whose first language is not English must meet University College Dublin's English language requirements.

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