Publisher
source

Ilias Kyriazakis

2 months ago

PhD in Optimising Sustainability in Livestock Systems: Multi-Criteria Assessment Framework Queen's University Belfast in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

PhD studentship with a substantially enhanced stipend of £31,850. The post is described as a supported studentship; no tuition details are stated in the post excerpt.

Deadline

Oct 1, 2026

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Country

United Kingdom

University

Queen's University Belfast

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Keywords

Computer Science
Machine Learning
Environmental Science
Agriculture
Animal Science
Biology
Artificial Intelligence
Veterinary Science
Sustainable Agriculture
Environmental Sustainability
Optimisation
Farming Systems
Statistics

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About this position

PhD opportunity in Optimising Sustainability in Livestock Systems: A Multi-Criteria Assessment Framework at Queen's University Belfast, within the SUSTAIN CDT project.

This studentship is supervised by Prof Ilias Kyriazakis (Queen's University Belfast) and Simon Parsons (University of Lincoln). The project focuses on agricultural sustainability, livestock systems, multi-criteria assessment, optimization, artificial intelligence, machine learning, and computational argumentation. The research aims to develop methods for evaluating livestock management decisions across multiple sustainability dimensions, including environmental, economic, social, welfare, and antimicrobial-use outcomes.

The work will involve evaluating normalization across sustainability metrics, implementing optimization approaches such as Pareto optimality and genetic algorithms, building a hybrid AI framework, and engaging stakeholders to assess the usefulness and explainability of the model. This is a strong fit for candidates interested in data-driven agriculture, animal science, veterinary science, and sustainability analytics.

Eligibility: Home applicants only. Applicants should hold a Bachelor’s degree in Statistics, Data Science, Animal Science, or Veterinary Science. A Master’s degree is an advantage. The post seeks an ambitious researcher with strong analytical skills and motivation to apply advanced AI to real-world sustainability challenges.

Funding: Enhanced PhD stipend of £31,850. The post is presented as a supported studentship; tuition coverage is not specified in the excerpt.

Timing: Entry is for Cohort 3 / October 2026.

Funding details

PhD studentship with a substantially enhanced stipend of £31,850. The post is described as a supported studentship; no tuition details are stated in the post excerpt.

What's required

Applicants should hold a Bachelor’s degree in Statistics, Data Science, Animal Science, or Veterinary Science. A Master’s degree is an advantage. The project seeks a skilled, ambitious, forward-thinking researcher motivated to apply advanced AI and analytical tools to sustainability challenges in food production systems. Home applicants only.

How to apply

Review the advertised project page and follow the application process for the SUSTAIN CDT studentship. Check eligibility carefully, as this opportunity is for home applicants only. Prepare academic details relevant to statistics, data science, animal science, or veterinary science.

More information can be found here

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