Vacancy ID:
13052
Location:
Leicester
School/Division:
Computing and Mathematical Sciences
Vacancy terms:
Full-time or job share, fixed-term contract for 12 months
Salary details:
Grade 7 - £39,906 to £46,049 per annum, pro-rata if part-time
Hours per week:
37.5
Advert closes midnight on:
12 Mar 2026

About the role

This role offers the opportunity to contribute to the EPSRC‑funded National Edge AI Hub, a major UK initiative bringing together partners from academia, industry and the public sector. You will undertake significant research and development work in AI for time‑critical applications, leading on the design, implementation and evaluation of novel AI algorithms and pipelines for deployment on edge‑computing platforms. You will also develop demonstrators to evidence the research outcomes, work independently on project milestones and contribute to publications, reports and conference presentations.

You will join an active and growing research environment where collaboration is encouraged, and where you will work closely with internal colleagues and external partners. The role involves supporting graduate students, contributing to wider research programmes and assisting in the development of future grant proposals. Engagement with national and international research communities through dissemination and networking is an integral part of the post.
 
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 numerous national and international projects. The team specialises in autonomous systems, bespoke AI solutions, and next-generation networking technologies and services.

About you

You will hold a PhD in a relevant discipline and have a strong track record of peer‑reviewed publications. You will bring proven capability in AI research and development, alongside experience in at least one of the following: embedded computing, edge computing, distributed computing or cloud computing. Experience in real‑time applications and in developing research demonstrators is essential.

You will be an effective communicator, able to explain complex ideas clearly, and will be comfortable working both independently and within a team. You will show evidence of ongoing professional development and be keen to extend your research portfolio, with opportunities to contribute to research bids and explore fellowship routes. Experience of working on externally funded projects or supporting grant applications is desirable.

Additional information

For informal enquiries, please contact Prof. Qi Wang on [email protected].
 
As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding secondments can be found here.
 
The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world.
 
As a diverse and forward-thinking employer, we embed the principles of equity, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive through our values of Inspiring, Impactful and Inclusive.
 
We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.
 
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Vacancy ID:
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