Summary
The School of Physics, Engineering and Technology at the University of York is seeking a Research Associate to join its communications research group and iTwins-lab. This role is part of a large multi-partner project focusing on Open RAN for next-generation radio access networks, involving close collaboration with industry. The successful candidate will contribute to the development of xApps and rApps for the RIC, focusing on high-density deployments, sustainability, and AI-based routines for user mobility modelling.
Designation
Research Associate
Research Area
- Wireless Communications
- Open Radio Access Networks (O-RAN)
- Machine Learning for Network Optimization
- Sustainability in Wireless Networks
- AI-based User Mobility Modelling and Prediction
Location
University of York campus, York, United Kingdom
Eligibility/Qualification
Skills, Experience & Qualification needed:
- PhD in Electrical Engineering (EE), Computer Science (CS), or equivalent experience.
- Knowledge of advanced machine learning algorithms.
- Knowledge of Open Radio Access Networking and relevant wireless standards.
- Ability and experience to write research work for publication in high-profile journals and engage in public dissemination.
- Competency to conduct individual and collaborative research projects.
- Ability to identify sources of funding and contribute to the process of securing funds, with collaborators if required.
- Competency to make presentations at conferences or exhibit work in appropriate events.
- Networking, programming, and experimentation skills.
- Experience in wireless networks modelling and simulation in Matlab or Python, and simulation tools (e.g., NS3).
- Experience of using Machine Learning for wired or wireless network optimisation.
Job Description
The Research Associate will be integral to a multi-partner project focused on advancing Open RAN technologies. Key responsibilities include:
- Cleaning, analysing, and documenting given data sets.
- Developing machine learning algorithms for O-RAN dense network planning.
- Developing and/or utilising simulation environments for O-RAN network performance testing.
- Supporting and contributing to test and trials on the University’s O-RAN testbed.
- Developing xApps and rApps for the RIC to support various forms of high-density deployment.
- Developing sustainability-aware xApps/rApps, including integration with renewable energy sources.
- Developing transport-focused AI-based routines for user mobility modelling and prediction.
The School of Physics, Engineering and Technology is committed to world-leading research in fundamental and applied areas, developing new technologies for public good, and fostering an inclusive environment. The department holds Juno Champion and Athena Swan silver awards, recognising its commitment to equality, diversity, and inclusion.
How to Apply
Applications must be submitted online through the University of York’s job portal. For informal enquiries, please contact Dr. Hamed Ahmadi at hamed.ahmadi@york.ac.uk or PET-Admin at pet-admin@york.ac.uk. The University encourages applications from underrepresented groups and offers family-friendly, flexible working arrangements.
Last Date for Apply
27/09/2026
