Research Fellow (Data Scientist)

Job Title: Research Fellow (Data Scientist) - INNOVATE+ Project
Department/School: School of Computing, Engineering and Intelligent Systems
Campus: Derry~Londonderry campus
Salary: Grade 8 (£48,822 per annum)
Duration: Fixed-term until 30th June 2029 / Full-time
Closing Date: 6th February 2026
Reference Number: 040447

- 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 -

The postholder will be a full-time Research Fellow (Data Scientist) for the INNOVATE+ project. They will be an integral part of a dynamic team, responsible for conducting dedicated artificial intelligence (AI) and data science research in close collaboration with SMEs seeking to innovate within this domain.

The INNOVATE+ project is a four-year, cross-border initiative designed to boost innovation, productivity, and competitiveness among small and medium-sized enterprises across Northern Ireland and the border counties of Ireland. Funded through the PEACEPLUS Programme and led by Atlantic Technological University in partnership with Ulster University, Queen’s University Belfast and Catalyst, the project will engage 955 SMEs and directly support at least 715 businesses to adopt new products, services, or processes. Through tailored training, specialist consultancy, and innovation-focused student placements, INNOVATE+ will help SMEs embrace digital transformation, artificial intelligence, sustainable business practices, and regulatory compliance.

This project is supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB).

- ABOUT YOU -

The postholder will be required to have:

- Degree in Computer Science, Mathematics, Data Analytics or a closely related science-based discipline.
- PhD (or close to completion with thesis submitted) in Computer Science or closely related discipline.
- Experience in one or more of the following areas: Data Analytics, Database Technology, Machine Learning, Generative AI, Mathematics, Probability, Simulation Models.

Please find our employee benefits on our website.

Athena Swan Statement

The School of Computing, Engineering & Intelligent Systems holds a Bronze 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.

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