Research Fellow in Open RAN Intelligent Network Automation
- UNIVERSITY OF SURREY
- Surrey, United Kingdom
- £34,308 to £42,155 per annum
- 07 Dec 2022
- End of advertisement period
- 03 Jan 2023
- Academic Discipline
- Engineering & Technology, Computer Science, Electrical & Electronic Engineering
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Fixed Term
- Full Time
Institute for Communication Systems
Salary: £34,308 to £42,155 per annum
Post Type: Full Time
Closing Date: 23.59 hours GMT on Tuesday 03 January 2023
The Institute for Communication Systems (ICS) is looking to recruit a research fellow in Open RAN Intelligent Network Automation. This exciting post will be researching advanced radio access network (RAN) technology in order to achieve network self-organisation. We focus on developing machine learning algorithms to optimise various KPIs of a O-RAN.
The focus of the project the post holder will contribute to, is mainly on developing machine learning algorithms, particularly reinforcement learning, to improve flexibility of 5G with O-RAN architecture. This project is a 1-year research and development work on O-RAN including machine learning algorithms, O-RAN RIC and xApps. The research is mainly carried out using simulation/emulation with some mathematical analysis, and the machine learning algorithms are to be implemented in Python.
ICS is the largest academic research institute in Europe specialising in all aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities.
Established in 2012, 5GIC is the world’s first dedicated centre in researching end-to-end aspects of 5G and works closely with national and international leading academic institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+.
RAN technology, radio resource allocation and optimisation, machine learning are key skills needed and PhD with good quality publications in the field are important qualifications to have. The post holder will need to be able to work within in a team of researchers.
Please upload your CV and cover letter.
Further details: Job Description
For more information and to apply online, please download the further details and click on the 'apply online' button above.
In return we offer a generous pension, relocation assistance where appropriate, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.
Click here to find out more about the benefits we offer to support you.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.