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Queen's University Belfast

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PhD in One Health Decision Support, Hazard Prediction, and Animal & Plant Health Diagnostics under Climate Change Queen's University Belfast in Ireland

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD studentship supported by SUSTAIN CDT. Funding details are provided via the linked SUSTAIN CDT PhD package page; the post states the project is funded but does not list stipend or tuition amounts in the text shown.

Deadline

Oct 16, 2026

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Country

Ireland

University

Queen's University Belfast

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Keywords

Computer Science
Epidemiology
Environmental Science
Agriculture
Biology
Parasitology
Medical Science
Salud Pública
Mobile Application Development
One Health
Cambio Climático
ML

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About this position

PhD opportunity at Queen's University Belfast in One Health, animal health, plant health, epidemiology, machine learning, and app development under climate change.

The project, supervised by Professor Eric Morgan at Queen's University Belfast, focuses on combining hazard prediction with animal and plant health diagnostics to create enhanced One-Health decision support. The research will augment monitoring systems for small ruminant health on smallholder farms in Africa by integrating real-time health information with predictive models of parasite transmission and climate-driven risk predictions.

The appointed student will work on datasets, machine learning methods, and the development of a smartphone app that delivers actionable advice on antiparasitic interventions. The project also explores alignment with comparable risk prediction tools for plant health, supporting food security through simultaneous attention to crop and animal threats.

This is a funded full-time PhD for 4 years with funding from SUSTAIN CDT. The post directs applicants not to apply directly to Queen's; instead, they must follow the application procedure on the SUSTAIN CDT website. The application deadline is 16 October 2026 at 12 noon.

Ideal applicants should be interested in machine learning, epidemiology, animal health, and digital health/app development. The project includes close collaboration with stakeholders in Africa and field application of the app, offering training and experience relevant to research, NGO, public sector, and private sector careers.

Funding details

Funded PhD studentship supported by SUSTAIN CDT. Funding details are provided via the linked SUSTAIN CDT PhD package page; the post states the project is funded but does not list stipend or tuition amounts in the text shown.

What's required

Applicants should be interested in machine learning, app development, animal health, and epidemiology. The project is full-time for 4 years and involves working closely with stakeholders, including in Africa, to co-develop and field-test the app. The post does not specify degree class, prior qualifications, or language-test requirements in the text provided.

How to apply

Do not apply directly to Queen's University Belfast. Follow the application procedure on the SUSTAIN CDT website and use the 'How to Apply' instructions there. The post also provides a funding details link for the PhD package.

More information can be found here

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