A Network-Edge Symbiosis for Accelerated and Distributed AI (Ref: CO/PT-SF1/2026)

About the Project

The Internet of Things (IoT) and next-generation applications like autonomous systems and augmented reality are generating unprecedented volumes of data at the network edge. While Edge AI offers a low-latency alternative to the cloud, it still faces significant bottlenecks. The sheer volume of data can overwhelm network links, and the computational load can saturate edge servers.

This project explores a revolutionary solution that treats the network and edge servers as a single, cohesive computational system. Instead of viewing the network as a simple data pipe, we will transform it into an active partner for the edge, creating a powerful network-edge symbiosis. The core idea is to intelligently split AI/ML models, executing lightweight, data-intensive tasks like filtering and feature extraction directly in the network using programmable hardware, while reserving more complex inference tasks for the powerful computational resources at the edge.

This collaborative approach promises to dramatically reduce latency, conserve bandwidth, and create a more efficient, scalable, and resilient infrastructure for distributed AI. This PhD project will be at the forefront of this emerging field, designing and building the foundational architecture and algorithms for this new generation of intelligent systems.

Name of primary supervisor/CDT lead:
Professor Posco Tso (p.tso@lboro.ac.uk)

https://www.poscotso.com/

Entry requirements:
In addition to the university's requirements, applicants are expected to hold a good first degree in Computer Science or a related subject area.

English language requirements:
Applicants must meet the minimum English language requirements.
Further details are available on the International website: (http://www.lboro.ac.uk/international/applicants/english/).

Bench fees required: No

Closing date of advert: 30th June 2026

Start date: January 2026, April 2026, July 2026, October 2026

Full-time/part-time availability: Full-time 3 years

Fee band: UK £5,006, International £28,600

How to apply:
All applications should be made online. Under programme name, select Computer Science.
Please quote the advertised reference number: CO/PT-SF1/2025 in your application.
To avoid delays in processing your application, please ensure that you submit a CV and the minimum supporting documents.
The following selection criteria will be used by academic schools to help them make a decision on your application. Please note that this criteria is used for both funded and self-funded projects.
Please note, applications for this project are considered on an ongoing basis once submitted and the project may be withdrawn prior to the application deadline, if a suitable candidate is chosen for the project.

Project search terms:
artificial intelligence, computer science, networks, edge computing, in-network computing, in-network intelligence

Email Address Sci:
Sci-pgr@lboro.ac.uk