PhD in AI for Distributed ML over Mobile Networks

Cranfield University; Coton Park; On-site; GBP 21,000 - 23,000; Full time

Benefits offered by this job

Bursary £21,805 (tax-free)

Fees paid for 3 years

Job summary

Cranfield University invites applications for a PhD studentship focused on how AI can provide seamless services to mobile users. The project investigates AI-on-RAN with distributed inference of large language models, optimizing tokens, memory, and network bandwidth in real time within 6G telecom contexts.

The studentship is funded through the EPSRC Future Telecommunications Hubs initiative and Cranfield University, offering a tax-free bursary up to £21,805 per year plus fees for three years,

Qualifications

• Applicants should have a first or second class UK honours degree or equivalent in CS, statistics, or electronic/information engineering.

Responsibilities

• Conduct research on AI-on-RAN to optimise distributed and mobile inference of large language models.
• Collaborate with supervisors and stakeholders from Cranfield University and partner organisations.
• Publish findings and contribute to the broader FTH ecosystem training across the UK.

Skills

AI basics

Wireless networking

Distributed ML

Edge computing

Education

UK honours degree in CS/Statistics/Engineering

Job description

Cranfield University invites applications for a PhD studentship focused on how AI can provide seamless services to mobile users. The project investigates AI-on-RAN with distributed inference of large language models, optimizing tokens, memory, and network bandwidth in real time within 6G telecom contexts.

The studentship is funded through the EPSRC Future Telecommunications Hubs initiative and Cranfield University, offering a tax-free bursary up to £21,805 per year plus fees for three years,