08/01/2026
PhD position at University College Dublin - Statistical modeling of individual variation in the transmission and diagnosis of Mycobacterium bovis
Post: PhD position (4-years full-time)
Project Title:
Individual bovine variation in the transmission and diagnosis of Mycobacterium bovis
Supervisors:
Dr Miriam Casey (School of Veterinary Medicine) and
Dr Michael Fop (School of Mathematics and Statistics),
University College Dublin
Starting date:
May 2026
Funding:
Annual tax-free stipend of €25,000 and an extra allowance for tuition fees, training, travel, and equipment.
Project description:
Tuberculosis is responsible for the greatest number of infection-related deaths and disabilities worldwide, and bovine tuberculosis has devastating impacts on the livestock industry and wildlife conservation in many countries. In cattle, tuberculosis exhibits variable disease progression and heterogeneity in individual infectiousness. Variation in the individual response to diagnostic testing is also recognised as a constraint to eradication. Lack of clear understanding about these heterogeneities in infectiousness and diagnosis can affect insights from epidemiological models and reduce the effectiveness of control policies.
The aims of the PhD are to apply statistical and mechanistic modelling in an inter-disciplinary context to better understand animal-level variation in transmission and diagnosis of Mycobacterium bovis infection, and subsequently to inform targeting of interventions to control bovine tuberculosis.
The project offers an opportunity to advance understanding of the infection biology and diagnosis of a globally significant pathogen, capitalising on large and detailed data, diverse expertise, and a direct interface with control programme managers and policy makers. During the PhD, inter-disciplinary skills will be developed to maximise the impact of quantitative expertise in infectious disease control.
Eligibility and entry requirements:
We welcome applications from graduates in the biological sciences with strong quantitative and programming skills, as well as from graduates in quantitative or computational disciplines with an interest in engaging with and learning about One Health challenges.
Applicants should have (or expect to obtain) at least a 2:1 honours degree. A Master’s degree relevant to infectious disease epidemiology or biostatistics is desirable.
Applicants from the biological sciences should hold a degree in veterinary medicine, medicine, ecology, agricultural science, or a related discipline, with demonstrated quantitative skills and a willingness to further develop programming expertise.
Applicants from quantitative or computational disciplines should hold a degree in statistics, mathematics, applied mathematics, computer science, or a related STEM discipline, and have a strong interest in engaging with biological sciences and solving applied problems.
Applicants must demonstrate some proficiency in statistical modelling and have experience with computing through R, Python, or a similar programming language.
Applicants for whom English is a second language will be required to demonstrate their competence in the English language in line with University College Dublin requirements.
How to apply:
Applicants should email Dr Miriam Casey ([email protected]) to apply.
The application should include:
A comprehensive CV
Academic transcripts of the degree(s)
A short cover letter/statement of purpose (maximum 2 pages) indicating how the applicant’s skills align with the project and their motivation for applying
The CV should, at minimum, include the applicant’s name, educational institution, qualification stating overall grade (predicted grades are acceptable for those still studying), and contact details of two academic referees.
Please include “PhD application – bTB modeling” followed by your name in the subject line. Applications not in this form will not be considered.
The closing date for applications is 26 January 2026. Only shortlisted candidates will be contacted.
Informal queries can be directed to [email protected]. Additional information is available
Project title: Individual bovine variation in the transmission and diagnosis of Mycobacterium bovisSupervisors: Dr Miriam Casey (UCD School of Veterinary Medicine) and Dr Michael Fop (UCD School of Mathematics and Statistics)Start date: May 2026
