PhD in AI-on-RAN: Distributed ML for Mobile Networks

Cranfield University; England; On-site; GBP 20,000 - 24,000; Full time

Benefits offered by this job

Tax-free bursary

Fees paid for three years

Job summary

Cranfield University invites applications for a PhD studentship focused on AI-on-RAN, exploring distributed and mobile inference of large language models in future 6G networks. The project blends AI, wireless networking, and edge computing with exposure to national stakeholders.

The successful candidate will have a strong AI background and curiosity about wireless systems, supporting outcomes that shape next-generation AI algorithms and resource allocation in telecommunications.

Qualifications

• Applicants should have a UK honours degree or equivalent in a related discipline of computer science, statistics, or electronic / information engineering.
• This project would suit students with a fundamental curiosity to how foundation models work at the algorithmic level.

Responsibilities

• Conduct research on AI-on-RAN to optimise distributed and mobile inference of large language models.
• Explore token/memory/bandwidth management for real-time operation.
• Contribute to publications and engagement with UK stakeholders.

Skills

AI fundamentals

Edge computing

Research mindset

Education

UK honours degree in computer science, statistics, or electronic / information engineering

Job description

Cranfield University invites applications for a PhD studentship focused on AI-on-RAN, exploring distributed and mobile inference of large language models in future 6G networks. The project blends AI, wireless networking, and edge computing with exposure to national stakeholders.

The successful candidate will have a strong AI background and curiosity about wireless systems, supporting outcomes that shape next-generation AI algorithms and resource allocation in telecommunications.