Research Associate/ Senior Research Associate in Artificial Intelligence (AI) for Next Generation Self Organising Networks

University of Bristol - Faculty of Engineering - Department of Electrical & Electronic Engineering

Work Hours 35.0 Hours per Week
Work Pattern: Full time
Industry: Education
Job Type: Research and Teaching

University of Bristol is seeking exceptional candidates to take up a postdoctoral position working on AI techniques for future digital infrastructure. The Next Generation Digital Converged Infrastructure (NG-DCI) project aims to lay the foundations for the next generation of internet infrastructure, creating an agile, resilient network capable of meeting future needs of our rapidly changing society.

Imminent developments such as Connected and Autonomous Vehicles (CAV), 5G and virtual reality will require a radical shift in the way our networks perform and how they are orchestrated and maintained.

Jointly funded by BT and the Engineering and Physical Sciences Research Council (EPSRC), the partnership brings together experts from business and academia, with specialist knowledge ranging from networking, communications, statistics and AI to industrial automation and organisational behaviour. The project team includes partners from Universities of Bristol, Lancaster, Cambridge and Surrey, and aims to develop a future network that is “autonomic”, with the capability to react and even predict changes in networking demand, reconfiguring infrastructure accordingly with minimal human intervention. This will lead to new services, improved customer experiences in terms of network reliability, and greater agility for businesses which need digital services that can adapt as they grow. The partnership builds on long-term research collaborations between BT and the academic members. Within this project UoB will lead an effort to co-create agile, resilient, self-organising networks meeting the future needs of CAVs, 5G and virtual reality. An ambitious £5 million research-business partnership led by BT, aims to create the next generation of converged digital infrastructure (NG-CDI) by developing the technologies and methods required for super-resilient, data-driven networks of the future. Imminent developments such as self-driving vehicles, 5G and virtual reality will require a radical shift in the way our networks perform and how they are maintained.

The main research area for this post will be the development and application of reinforcement learning techniques in the context of continuous control and self-organisation of telecommunications networks.

This post is offered on a full time open ended contract with funding for up 2.5 years.

The University is committed to creating and sustaining a fully inclusive culture.  We welcome applicants from all backgrounds and communities.

Share this job
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:


South West England