Role: Research Associate (AI/Technology Specialist) - INNOVATE+ Project

Department: School of Computing, Engineering and Intelligent Systems

Grade: 6/7 (£33,020 - £39,975 per annum)

Responsible to: Principal Investigator

Campus: Derry~Londonderry

(Fixed term until 30th June 2029 / Full-Time) 

Job Purpose:

The postholder will be a full-time Research Associate as part of the INNOVATE+ project. They will be an integral part of a dynamic team, responsible for providing expertise in Digital and AI Adoption, conducting high quality research and development for project stakeholders.

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).

Closing Date:  16th April 2026

Guidance regarding applications can be found here:  https://recruitment.ulster.ac.uk/information-for-applicants/what-to-expect-from-the-application-and-interview-process. If you are still having issues, please contact email: sj.mcfarlane@ulster.ac.uk stating the vacancy reference number.

Click on the links below for any relevant documents – Please note, these documents will not be available after the job advert closes. Please ensure that you download and save these.

Candidate Briefing Document - 041767

Salary Scale

Please be advised that due to the minimum salary thresholds imposed by the UKVI, this post will not qualify for university sponsorship under the Skilled Worker visa route. Please check your options here: https://www.gov.uk/check-uk-visa

If you have any specific queries regarding eligibility to work in the UK, our Resourcing Compliance team may be able to help: Resourcing-compliance@ulster.ac.uk

We may create a 12-month waiting list for same or similar roles within the Department / Faculty.  The University reserves the right to extend the waiting list across the University if required for certain posts.

Ulster University recognises the potential benefits that Generative AI tools (for example Chat GPT) may bring to some candidates during the application process. In particular, we recognise the positive impact such tools may have with regard to equality, diversity and inclusion. When using AI, however, we encourage candidates to use the technology responsibly, ensuring that submitted applications provide an accurate representation of your skills, abilities and experience. Our selection activities are designed to robustly test and evaluate the extent to which candidates meet the selection criteria outlined for each role. This includes the use of interviews, presentations, written exercises and other additional selection activities as appropriate for each role. 

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 at https://www.advance-he.ac.uk/equality-charters/transformed-uk-athena-swan-charter and on our University website https://www.ulster.ac.uk/peopleandculture/employee-benefits/equality-diversity/athena-swan. The University has a range of initiatives to support a family friendly working environment, including flexible working.