Research Associate in Smart Technologies

About the role

We are seeking a talented and motivated Research Associate to join the University of Leicester’s School of Computing and Mathematical Sciences as part of the UKRI/Horizon Europe-funded 6G-PATH project. This international collaboration involves nearly 30 partners across Europe and beyond, exploring smart technologies beyond 5G for emerging use cases and early trials. The successful candidate will lead research and development in smart technologies for 6G networks or applications and deliver impactful demonstrations and publications.

This role offers the opportunity to work within a growing research environment, engaging with leading academic and industry partners across the UK and Europe. You will be expected to support graduate students, present findings at international conferences, and contribute to grant applications and teaching activities. The University is a research leading institution in UK, among the top 30 in the world for the quality of its research and top 200 overall, according to the latest rigorous assessment by Times Higher Education. The research team participating in this project has extensive experience in playing various leading roles in R&D and project management in EU 5G PPP and 6G-IA SNS projects. The team specialises in autonomous systems, bespoke AI solutions, and beyond 5G networking technologies and services.

About you

You will hold a PhD (or close to the completion of your PhD programme) in computing, telecommunications, electronic engineering, applied mathematics or a related discipline, with strong expertise in smart technologies in one of the areas: telecommunications, networking, cloud computing, visual computing or AI. A solid understanding of relevant smart technologies is essential, alongside excellent communication, writing and presentation skills. You should have a proven track record in research and software development, with experience in publishing in peer-reviewed journals and presenting at academic venues.

We are looking for someone who can work independently and collaboratively, manage complex research tasks, and contribute to the wider academic community. Experience in externally funded projects and demonstrator/testbed development is desirable. You will be expected to mentor researchers and engage with external partners to maximise the impact of your work.