Research Associate/Senior Research Associate/Research Fellow in AI/ML for 6G Networks & Network Distributed Systems

Salary: 

Grade I £38,249 - £44,128 per annum;

Grade J £42,882 - £48,149 per annum;

Grade K £49,559 - £55,755 per annum

The role

The Smart Internet Lab is looking for three highly motivated, enthusiastic researchers at different career stages, with a passion for telecommunication networks and their evolution towards intelligent and highly distributed systems with the use of advanced AI/ML techniques. Research topics include future mobile networks and 6G, AI/ML for network intelligence, edge intelligence, distributed AI systems, end-to-end AI for network optimisation, native AI networking, deployment of AI toolkits in laboratory testbed infrastructures, and large-scale experimentation in heterogeneous environments.

What will you be doing?

The successful candidate will carry out research for existing projects including REASON (https://reason-open-networks.ac.uk), TITAN (https://www.titancambridge.com) and JOINER (https://joiner.org.uk). TITAN is an EPSRC Hub (network of networks), aiming to establish an open and productive platform for research collaboration and engagement across a large number of academic and industrial partners. JOINER is a national experimentation platform for future connectivity and with cutting edge capabilities. It connects eleven research labs/centres of excellence/universities and is a platform enabling next generation network research to become reality.

You should apply if

You have experience and proven track record of 

• Relevant scientific publications or relevant experience
• Knowledge and experience in AI/ML principles, workflows, and implementation
• Knowledge of networking protocols and architectures
• PhD or equivalent R&D experience in computer science, networks or communications, and/or experience with at least one of the following areas:
  • Applied AI/ML in networking
  • AI for network services and optimisation
  • Embedded intelligence in the networks through E2E AI
  • AI/ML/container orchestration and MLOps platforms

Additional information

For informal queries please contact: Yulei Wu (y.l.wu@bristol.ac.uk)

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/

Contract type: Open ended with fixed funding until 31st March 2026

Work pattern: Full time

School/Unit: School of Electrical, Electronic and Mechanical Engineering

This advert will close at 23:59 UK time on Thursday 15th May.

Interviews are expected to take place on the Monday 2nd and Tuesday 3rd June.

Our strategy and mission

Available documents

• Faculty of Science & Engineering Further Particulars 2024-25.pdf
• ACAD108061 - 6G Networks and Network Distributed Systems - JD.pdf

Advert information