Redefining in-network computing for compute-native 6G networks

This PhD at University of Southampton investigates the future of compute-native 6G networks through in-network computing. Traditional networks focus on packet forwarding, but next-generation 6G systems will embed computation directly into the data path. This project aims to define the architectural foundations of this shift, enabling distributed computing across edge and core networks. Key research goals include: Understanding scalability and performance limits of in-network computing Designing coordination mechanisms for distributed network functions Ensuring predictable, secure, and multi-tenant execution of in-network workloads Developing new abstractions and programming models for network computation The project combines machine learning, programmable networking, and distributed systems, with hands-on work using modern networking hardware. Research outputs are expected in top networking venues such as SIGCOMM, NSDI, INFOCOM, and IEEE/ACM Transactions on Networking.

Applicants should have:
UK 2:1 degree or equivalent in Computer Science, Electrical Engineering, or related field
Strong programming skills in Python or C/C++
Background in computer networking or mobile networks
Desirable experience:
P4, DPDK, eBPF, XDP
SmartNICs, FPGA, or programmable hardware
Machine learning frameworks

Apply via:
University of Southampton PhD application portal
Required:
CV
2 academic references
Transcripts and certificates
English language proof (if required)
Contact:
Dr Aristide Akem – a.t-j.akem@soton.ac.uk
Programme: PhD Computer Science (7089), 2026/27 intake