Research Fellow - AI4ME

We are seeking a research fellow to play a leading role in the development of research on AI4ME, an exciting EPSRC & BBC-funded Prosperity Partnership that is addressing key challenges associated with the creation and delivery of personalised video content at scale. AI4ME brings together the BBC, Lancaster University, and the University of Surrey to design entirely new types of media experiences that can adapt to individual preferences, accessibility requirements, devices, and location.

AI4ME builds upon the rapid changes underway within the industry in how media experiences are produced and delivered, from television and films to video games. In television and broadcast media, the prevalence of Internet-based delivery supports the independent transport of different parts of a stream – including audio, video, and additional media experience components – to be composed together at the point of playback. This paradigm is enabling new forms of hyper-personalised and immersive storytelling and represents both opportunities and new challenges in the network delivery of these experiences.

At Lancaster we are building the world’s first hyper-adaptive end-to-end delivery infrastructure to deliver personalised object-based media experiences at scale. By combining novel systems-building technology with intelligent networked systems that operate across the cloud to edge continuum, our approach is capable of delivering highly personalised experiences whilst making efficient use of network compute and delivery resources.

We are looking for a research fellow to join this exciting project and help lead our research in these areas.  You will have a background in networking and distributed systems; more details on the relevant research fields can be found in the Person Specification. You be expected to lead the development of AI4ME research at Lancaster and the day-to-day objectives of the research team.

You will join us on a full-time, fixed-term contract. However, the role remains contingent on external funding which, for this position, is currently until end of September 2026. 

If you have any informal enquiries, please contact Professor Nicholas Race (networkedsystems@lancaster.ac.uk)

We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognizes and celebrates good employment practice undertaken to address gender equality in higher education and research. We welcome applications from people in all diversity groups.

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Further details:

• Job Description
• Person Specification

Please note: unless specified otherwise in the advert, all advertised roles are UK based.

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The University recognises and celebrates good employment practice undertaken to address all inequality in higher education.

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity. 

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