| Location: | Salford |
|---|---|
| Salary: | £38,784 to £46,049 |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 26th August 2026 |
|---|---|
| Closes: | 13th September 2026 |
| Job Ref: | 1022-479942137 |
Opportunity Overview
Join the University of Salford as a Research Fellow (Technical Delivery) building the AI systems at the heart of FOUR4ALL, a Horizon Europe research project focused on working time reduction. This is a hands-on applied AI / LLM engineering role: you'll design, build, and evaluate a bounded conversational AI agent and a public retrieval-augmented (RAG) evidence assistant, working in Python as part of a friendly, multidisciplinary research team. We're looking for someone who understands LLM-based systems as systems – selecting the right model for a task, designing the workflow around it, and testing that it works. We welcome strong applicants at all career stages, including recent Master's graduates.
Key Responsibilities
About the School
Science, Engineering and Environment is an applied science and engineering faculty creating innovative AI and sustainable technologies collaboratively to deliver meaningful impact with an inclusive and ethical focus. We play a major role in the delivery of the overall teaching, research and innovation activity within the University of Salford. The Faculty has two departments (Computer Science and Engineering; and Built and Natural Environments), supported by knowledgeable professional and technical services teams. Underpinned by thematic research centres and two Innovation Institutes (Energy House and Acoustics), we co-create teaching opportunities with students and apprentices, developing the next generation of engineers and scientists.
As this role is part of the FOUR4ALL project, you will be working closely with colleagues in the Faculty of Social Science, Humanities and the Arts for People and the Economy, who are leading this project.
What's in it for you?
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