Research Studentship in Computer Networks: Networking for Frontier AI

3.5-year D.Phil. studentship

Supervisors: Prof Noa Zilberman

The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In this project, you will investigate innovative networking solutions for frontier AI systems, with a particular focus on the architecture of network switches. You will explore the role of the network switch in AI systems with sub-1 ns latency between accelerators, including how operations are partitioned between switches and edge devices. Building on this analysis, you will develop novel networking solutions that accelerate frontier AI systems.

Eligibility

This studentship is funded through the VMware University Research Fund and is open to Home and Overseas students (full award – fees plus stipend).

Award Value

Course fees are covered at the level set for Home or Overseas students. The stipend (tax-free maintenance grant) is the UKRI minimum stipend, and at least this amount for a further two and a half years. 

Candidate Requirements

Prospective candidates will be judged according to how well they meet the following criteria:

• A first class or strong upper second-class undergraduate degree with honours (or equivalent) in Engineering or Computer Science
• Excellent English written and spoken communication skills
• Excellent knowledge in computer networks
• Excellent hardware design skills (Verilog)
• Excellent programming skills (C/C++ and/or python)

The following skills are desirable but not essential:

• A distinction or first class honours Masters degree in Engineering or Computer Science
• Previous research experience in the subject area (e.g., final year project, internship)
• Previous experience in FPGA or ASIC design
• Previous experience in network simulation
• Previous experience writing for publication

Application Procedure

Informal enquiries are encouraged and should be addressed to Prof Noa Zilberman (noa.zilberman@eng.ox.ac.uk).

Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria. Details are available on the course page of the University website.

Please quote 26ENGIN_NZ in all correspondence and in your graduate application.

Application deadline: noon on 3 March 2026 (In line with the University admissions deadline set by the University)

Start date: October 2026

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