Research Engineer: Open RAN & AI for Next-Gen Wireless

University of York; York and North Yorkshire; On-site; GBP 38,000 - 52,000; Full time

Job summary

University of York is seeking a project-driven researcher to contribute to advanced wireless network research. The role focuses on developing xApps and rApps for the RIC, enabling high-density deployments and sustainability-aware AI routines for mobility modelling.

We expect hands-on experimentation in wireless networks with Linux programming experience and a strong track record in research publication and dissemination.

Qualifications

• Undergraduate degree, MSc or PhD (desirable) in EE, CS, relevant engineering
• Knowledge and experience ML/AI for optimisation
• Knowledge and/or experience of O-RAN, relevant wireless standards and testbed
• Ability and experience to write up research work for publication in high profile journals and engage in public dissemination
• Track record in the application of the technical skills associated with the networking and wireless experimentation
• Networking, programming and experimentation skills and experience
• Experience in Wireless networks modelling and simulation in Matlab or Python and simulation tools e.g. NS3

Responsibilities

• In this project, York’s contribution will focus on development of xApps and rApps for the RIC to support different forms of high-density deployment, along with development of sustainability aware xApps/rApps, integration with renewable energy sources, and/or transport focused AI-based routines for user mobility modelling and prediction.
• The successful candidate will need to have interest in hands on experimentation of wireless networks with competence in programming in Linux environment.

Skills

ML for optimization

O-RAN knowledge

Wireless networking

Linux programming

NS-3 simulation

Education

Undergraduate degree in EE/CS/engineering

MSc/PhD desirable

Tools

Matlab

Python

NS-3

Job description

University of York is seeking a project-driven researcher to contribute to advanced wireless network research. The role focuses on developing xApps and rApps for the RIC, enabling high-density deployments and sustainability-aware AI routines for mobility modelling.

We expect hands-on experimentation in wireless networks with Linux programming experience and a strong track record in research publication and dissemination.