Manchester Metropolitan University
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Funded PhD in Adaptive Large Language Models for Low-Resource Languages Manchester Metropolitan University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Doctoral teaching assistant position combining a PhD with a university teaching contract. The role is split approximately 60% research and 40% teaching. Salary is £31,236 at grade 6, and home PhD tuition fees are covered for the full 6-year award. Home students only; no visa sponsorship.
Deadline
Oct 4, 2026
Country
United Kingdom
University
Manchester Metropolitan University

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About this position
Funded PhD opportunity at Manchester Metropolitan University in Adaptive Large Language Models for Low-Resource Languages: Bridging the Global Digital Language Divide.
This project sits at the intersection of Computer Science, Natural Language Processing, Machine Learning, and Linguistics. The research aims to develop next-generation AI systems that work better for low-resource languages by designing adaptive LLM architectures that respond to linguistic complexity, grammar, script, and typological features rather than relying only on large amounts of online text. You will test methods across diverse underserved languages, use benchmarks such as FLORES-200 and MasakhaNER, and co-develop evaluation protocols with speaker communities.
The PhD includes access to high-performance computing, structured training, funded conference travel, and support to publish at leading international conferences. It is described as a doctoral teaching assistant position combining research and teaching, with approximately 60% research and 40% teaching.
Funding: grade 6 salary of £31,236, plus home PhD tuition fees for the duration of the 6-year award. This opportunity is for home students only, and applicants must have the right to work in the UK; visa sponsorship is not available.
Eligibility: programming skills, preferably Python, and a suitable undergraduate or master's degree in Computer Science, NLP, AI, or a related field. Interest in teaching, research, and academic publication is also highlighted.
Deadline: 4 October 2026. Start date: January 2027.
How to apply: submit the online application for a part-time PhD in Computing and Digital Technology, complete the Doctoral Project Applicant Form, and upload your CV and covering letter via the university Admissions Portal or email them to the PGR Admissions team. Quote the reference provided in the advert.
Funding details
Doctoral teaching assistant position combining a PhD with a university teaching contract. The role is split approximately 60% research and 40% teaching. Salary is £31,236 at grade 6, and home PhD tuition fees are covered for the full 6-year award. Home students only; no visa sponsorship.
What's required
Applicants should have programming skills, preferably in Python, and a suitable undergraduate or master's degree in Computer Science, NLP, AI, or a related field. A flair for teaching, research, and contributing to high-quality publications is desired. Applicants must have the right to work in the UK; visa sponsorship is not available, and only home PhD fees will be paid.
How to apply
Complete the online application form for a part-time PhD in Computing and Digital Technology. Also complete the Doctoral Project Applicant Form and upload your CV and covering letter in the supporting documents section of the Admissions Portal, or email them to [email protected]. Quote reference SciEng-DTA Jan 2027-SA-Low-Resource LLMs.
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