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Research Fellow / Research Fellow II in Future Network Intelligence

Department of Electrical & Electronic Engineering

Location:  Guildford
Salary:  £31,302 to £48,677 Competitive Salary
Fixed Term
Post Type:  Full Time
Advert Placed:  Friday 02 August 2019
Closing Date:  Monday 02 September 2019
Reference:  058919

The Institute for Communication Systems (ICS) home of the 5G Innovation Centre (5GIC) is looking to recruit a research fellow in the area of future network intelligence. This exciting opportunity will contribute to the EPSRC/BT project "Next Generation of Converged Digital Infrastructures (NG-CDI)." We are open to recruiting someone at either a Research Fellow or Research Fellow II level but please note there is only one post available.

The NG-CDI (http://www.ng-cdi.org/)Project is a £5M programme jointly funded by EPSRC and BT. The project objective is to design, implement and test radical architectures and supporting technologies to realise autonomics features in various aspects of future networks, including but not limited to: developed intelligence for network resource optimisation, seamless fulfilment of end-to-end QoS and user QoE for emerging applications, automated fault detection and failure recovery operations. The project also investigates tailored artificial intelligence and machine learning solutions to support autonomic networking.

ICS has been established for over ten years as one of a number of autonomous research centres at the University of Surrey. Housing over 160 researchers, PhD students and academic staff, its research focuses on future communication systems including mobile and wireless communications, satellite communications, and networking (management, protocols and security).

5GIC brings together leading academics and key industry partners in a shared vision to help define and develop the 5G infrastructure that will underpin the way we communicate, work and live our everyday lives in the future.

Applicants should have a PhD degree related to network, computer sciences or engineering with network programming skills. Research experiences in software defined networking (SDN), network function virtualisation (NFV), edge computing and AI, machine learning are most desirable.

The successful candidate will be joining a very strong and vibrant research team and will be supported by academic staff and PhD students working on the programme, although he/she will be expected to coordinate as well as contribute to the research.

For informal enquiries please contact: Prof. Ning Wang (n.wang@surrey.ac.uk)

 

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£31,302) to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£32,236).

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Further details:

For more information and to apply online, please download the further details and click on the 'apply online' button above.

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