Research Software Engineer
| Posting date: | 23 March 2026 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | £36636-38784 per annum |
| Hours: | Full time |
| Closing date: | 12 April 2026 |
| Location: | Newcastle, NE1 7RU |
| Company: | Newcastle University |
| Job type: | Temporary |
| Job reference: | 29206-44054012 |
Summary
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
The Role
Newcastle University invites applications for a Research Software Engineer to join the EPSRC-funded National Edge AI Hub for Real Data. This role will contribute to Work Stream 4, focusing on the deployment of Small Language Models (SLMs) for automated Fault Management across the IoT-Edge-Cloud continuum.
This role focuses on developing lightweight, efficient AI models (SLMs) that can operate at the "edge" to predict, detect, and mitigate system failures before they escalate. You will work on bridging the gap between massive data streams and localised, intelligent decision-making. The role involves close collaboration with a diverse and multidisciplinary team across the UK to validate the edge AI innovations in critical sectors. The role will naturally integrate with other research streams within the consortium, providing opportunities for cross-stream collaboration and engagement with both academic and industrial partners.
This is a full time, fixed term role available for the duration of 2 years.
For all general enquiries please contact: sydnee.obrien@ncl.ac.uk
The Role
Newcastle University invites applications for a Research Software Engineer to join the EPSRC-funded National Edge AI Hub for Real Data. This role will contribute to Work Stream 4, focusing on the deployment of Small Language Models (SLMs) for automated Fault Management across the IoT-Edge-Cloud continuum.
This role focuses on developing lightweight, efficient AI models (SLMs) that can operate at the "edge" to predict, detect, and mitigate system failures before they escalate. You will work on bridging the gap between massive data streams and localised, intelligent decision-making. The role involves close collaboration with a diverse and multidisciplinary team across the UK to validate the edge AI innovations in critical sectors. The role will naturally integrate with other research streams within the consortium, providing opportunities for cross-stream collaboration and engagement with both academic and industrial partners.
This is a full time, fixed term role available for the duration of 2 years.
For all general enquiries please contact: sydnee.obrien@ncl.ac.uk
The Role
Newcastle University invites applications for a Research Software Engineer to join the EPSRC-funded National Edge AI Hub for Real Data. This role will contribute to Work Stream 4, focusing on the deployment of Small Language Models (SLMs) for automated Fault Management across the IoT-Edge-Cloud continuum.
This role focuses on developing lightweight, efficient AI models (SLMs) that can operate at the "edge" to predict, detect, and mitigate system failures before they escalate. You will work on bridging the gap between massive data streams and localised, intelligent decision-making. The role involves close collaboration with a diverse and multidisciplinary team across the UK to validate the edge AI innovations in critical sectors. The role will naturally integrate with other research streams within the consortium, providing opportunities for cross-stream collaboration and engagement with both academic and industrial partners.
This is a full time, fixed term role available for the duration of 2 years.
For all general enquiries please contact: sydnee.obrien@ncl.ac.uk
The Role
Newcastle University invites applications for a Research Software Engineer to join the EPSRC-funded National Edge AI Hub for Real Data. This role will contribute to Work Stream 4, focusing on the deployment of Small Language Models (SLMs) for automated Fault Management across the IoT-Edge-Cloud continuum.
This role focuses on developing lightweight, efficient AI models (SLMs) that can operate at the "edge" to predict, detect, and mitigate system failures before they escalate. You will work on bridging the gap between massive data streams and localised, intelligent decision-making. The role involves close collaboration with a diverse and multidisciplinary team across the UK to validate the edge AI innovations in critical sectors. The role will naturally integrate with other research streams within the consortium, providing opportunities for cross-stream collaboration and engagement with both academic and industrial partners.
This is a full time, fixed term role available for the duration of 2 years.
For all general enquiries please contact: sydnee.obrien@ncl.ac.uk