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Research Associate (NLP Developer)

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Research Associate (NLP Developer)

Ulster University logoUlster University
Coleraine, United Kingdom
Deadline: 16 October 2026
Posted: Oct 3, 2026

NL Highlights

Lead the technical development and implementation of new features for the Harmony data harmonization platform.
Utilize advanced Natural Language Processing (NLP) techniques, including transformer models, to enhance data analysis capabilities.
Oversee the entire infrastructure supporting the service, ensuring a secure, reliable, and robust end-to-end product.

Details

Reference

043926

Salary & Funding

£33,020 to £38,805 per annum

Duration

Fixed-Term until 31st March 2031 / Full-time

Contact Info

Resourcing-compliance@ulster.ac.uk

Eligibility

Legal right to work in the UK
Degree in Computer Science, Data Analytics or a closely related science-based discipline
Significant experience in applying natural language processing, specifically transformer models (e.g. BERT, GPT-style systems), and fine-tuning models
Extensive experience with Python development, including familiarity with libraries such as Hugging Face Transformers

Next Steps

1
Submit application by 16th October 2026
2
Provide feedback on advert quality if desired

Opportunity Overview

ABOUT US

We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland.

Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer.

THE ROLE

We are seeking a core team member to be part of a fully funded, 5-year initiative to take Harmony, an established research project, into a self-sustaining entity. In this role, you will directly contribute to our long-term strategy, building out from an existing beta product to produce a refined research tool. This is a unique opportunity to join a small, focused team and drive a project through its entire lifecycle from inception to independence.

The postholder will be a full-time Research Associate working on the Harmony project, funded by Wellcome. They will be an integral part of a team developing a platform for researchers from the social and life sciences to harmonise data from multiple sources. The Harmony tool uses natural language processing (NLP) technologies to identify conceptually similar variables from across different datasets, helping researchers overcome challenges arising from the use of different measures and instruments.

Working within a multidisciplinary team, the postholder will lead the technical development of the platform, implementing new features, maintaining existing software, and overseeing the wider infrastructure that supports the service, including deployments, pipelines and server environments. They will contribute to the delivery of a secure, reliable and robust end-to-end product that meets the needs of researchers and reflects commercial standards.

ABOUT YOU

The postholder will be required to have:

  • A degree in Computer Science, Data Analytics or a closely related science-based discipline.

  • Significant experience in applying natural language processing, specifically transformer models (e.g. BERT, GPT-style systems), and fine-tuning models.

  • Extensive experience with Python development, including familiarity with libraries such as Hugging Face Transformers.

Please find our employee benefits on our website.

Athena Swan Statement

The School of Psychology holds a Silver Athena SWAN Award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family-friendly working environment, including flexible working.

The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.

Application Process Details

Closing Date: 16th October 2026 at 23:30

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback.

Important Note on Remote Working: For remote working arrangements, duties must be carried out from within the UK. Applicants must have the legal right to work in the UK. This post will not qualify for university sponsorship under the Skilled Worker visa route due to UKVI minimum salary thresholds. For eligibility queries, contact Resourcing-compliance@ulster.ac.uk.