Publisher
source

David Rooney

1 week ago

AI-Driven Discovery and Engineering of Novel Enzymes for Biogas Mitigation and Utilisation Queen’s University Belfast in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Mar 16, 2026

Country flag

Country

United Kingdom

University

Queen's University Belfast

Social connections

How do Indian students apply for this?

Sign in for free to reveal details, requirements, and source links.

Where to contact

Official Email

Keywords

Computer Science
Chemistry
Environmental Science
Agriculture
Chemical Engineering
Biotechnology
Biology
Artificial Intelligence
Computational Chemistry
Synthetic Biology
Biocatalysis
Enzyme Engineering
Pharmaceutic
Metagenomic
bio engineering
Machine learning

About this position

A fully funded PhD studentship is available at Queen’s University Belfast in the groups of Prof David Rooney, Prof Sharon Huws, and Dr Meilan Huang, as part of the BioAID Doctoral Training Programme. This cross-institutional initiative includes world-leading experts from Queen’s University Belfast, University of Manchester, University of Edinburgh, and University of Bristol. BioAID aims to train the next generation of scientists in Artificial Intelligence and data-driven approaches for translational biocatalysis, addressing critical needs in sustainable biotechnologies.

The programme equips PhD students with advanced expertise in enzyme science, machine learning, enzyme engineering, and synthetic biology. Students will undertake interdisciplinary, co-supervised projects across biocatalysis and AI, supported by national computing infrastructure, hands-on laboratory training, and strong academic/industry partnerships through co-designed projects and placements. Structured cohort training and tailored professional development are delivered by partner institutions.

This project focuses on developing a machine learning-guided, automated platform for the discovery and engineering of enzymes involved in methanogenesis metabolic pathways, with particular emphasis on methyl-coenzyme M reductase (MCR) and key dehydrogenases. Metagenomic data from farm microbial communities will be analysed using machine learning models to identify and functionally annotate enzymes contributing to methane production. Machine learning approaches will guide the selection of enzyme variants with improved catalytic efficiency, stability, and specificity from small experimental datasets. The resulting platform will facilitate adaptive bioprocess optimisation and integration with laboratory automation, providing scalable biotechnological solutions for methane mitigation and utilisation in sustainable agriculture.

The studentship is fully funded for 48 months, covering tuition fees and an annual stipend at the UKRI rate (£20,780 per annum for 2025-26), subject to final confirmation of BBSRC funding. The scheme is open to UK and international students. Applicants must fulfil Queen’s University Belfast entry requirements, hold (or expect to achieve) a First Class or 2:1 UK honours degree (or international equivalent), and ideally hold a master’s-level qualification at merit or distinction. Flexible study arrangements, including part-time options, may be considered depending on the project and funder.

Queen’s University Belfast is committed to equality, diversity, and inclusion, actively encouraging applicants from diverse backgrounds and career paths. Applications from those returning from a career break or other roles are supported.

To apply, submit your application via the QUB Direct Application portal. Include the project title, supervisor name, and contact details of two referees. Ensure all required documents are submitted at the time of application. Incomplete applications will not be considered. For queries, contact [email protected]. It is strongly recommended to contact the supervisors before applying (email: [email protected]).

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants must fulfil Queen’s University Belfast entry requirements, hold (or expect to achieve) a First Class or 2:1 UK honours degree (or international equivalent), and ideally hold a master’s-level qualification at merit or distinction (or international equivalent). International qualifications should be checked with the QUB admission team. Contacting the supervisors before applying is strongly recommended.

How to apply

Submit your application via the QUB Direct Application portal. Include the project title, supervisor name, and contact details of two referees. Ensure all required documents are submitted at the time of application. Incomplete applications will not be considered. For queries, contact [email protected].

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors