Self-funded PhD opportunity in 6G as part of major project hub, further funding possible subject to progress of project and student. Focus on native AI in 6G systems with experimental testbed and national scale experimentation.
6G will bring new levels of native AI inside the telecommunication network, orchestrating resources for both the telecommunication network and for the end-user application areas. Cranfield is part of the national testbed for 6G, researching in the following areas of interest:
- Real-time specification of 6G telecommunication and edge computing services using Large Language Models (LLMs).
- Orchestrating AI/ML pipelines in 6G.
- Developing certification and checking processes for code inside ORAN 6G.
The research will be a combination of software engineering, radio experimentation and validation, and machine learning.
References of our current/recent work are here:
- "Automatic Retrieval-Augmented Generation of 6G Network Specifications for Use Cases," IEEE Communications Magazine, 2024.
- "Traffic Prediction with Shared Causal Inference in ORAN Computing Continuum," IEEE Global Communications Conference (Globecom), 2024.
- "Cascade Network Stability of Synchronized Traffic Load Balancing with Heterogeneous Energy Efficiency Policies," IEEE Global Communications Conference (Globecom), 2024.
You will be working world-leading scholar, Professor Weisi Guo, on the topic partnered with one of other leading universities in 6G.
Funding for studentship support can be possible subject to continued funding and progress in research. The hub that funds our ecosystem is:
The work is envisioned to have great impact on design and development of intelligent AI/ML orchestration algorithms in real 6G experimentation test beds.
The applicant is envisioned to further enhance and develop world class skills in AI and Machine Learning and Communication Networks with application to hard and challenging AI problems providing a great skill set for employability after the degree in both industry but also academia as well.
At a glance
- Application deadline30 Apr 2025
- Award type(s)PhD
- Start date02 Jun 2025
- Duration of award3 years
- EligibilityEU, Rest of world, UK
- Reference numberSATM533
Entry requirements
Applicants must have a B.Sc. in electronic / information engineering or computer science and must either have or close to having a Master鈥檚 degree (must be completed by the time of the start of the PhD Award). A demonstrated background in communication theory, networking, and AI would be a distinct advantage.
Funding
This studentship is open to UK and international students.Cranfield Doctoral Network
Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.
How to apply
If you are eligible to apply for this studentship, please complete the
For further information please contact:
Professor Weisi Guo
weisi.guo@cranfield.ac.uk
