Research Studentship in Converged Programmable Hardware
3.5-year D.Phil. studentship
Project: Sustainable and Scalable Computing Infrastructure
Supervisors: Prof Noa Zilberman
The rise of digital economy and the growing dependency of our society on cloud-based services are continuously increasing the demands from communications infrastructure and computing systems. These systems are required to scale, and at the same time to reduce their power footprint. The introduction of programmable network devices, and the convergence of networked-systems disciplines, offer an opportunity to achieve both goals. Cursory studies have suggested up to 10,000 throughput improvement and 1,000 power savings, but have limited applicability for many use-cases.
This project will investigate the use of converged programmable hardware devices as a means to create scalable and sustainable computing infrastructure. The introduction of new hardware architectures and the exploration of their application to computing infrastructure are expected to be key parts of this studentship.
This project offers the opportunity to undertake ground-breaking research in the field of programmable hardware, involving elements of networking, computer architecture, and sustainability.
Prospective candidates will be judged according to how well they meet the following criteria:
• A first-class honours degree in Engineering, Computer Science, or a related discipline.
• Excellent hardware design skills (e.g., FPGA or ASIC)
• Good programming skills (e.g., Python, C/C++)
• Basic knowledge of networking
• Excellent English written and spoken communication skills
The following skills are desirable but not essential:
• Knowledge of programmable network devices (e.g., using NetFPGA or programming in P4)
• Basic knowledge of memory subsystems
Informal enquiries are encouraged and should be addressed to Prof Noa Zilberman ([email protected]
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: https://www.ox.ac.uk/admissions/graduate/courses/dphil-engineering-science?wssl=1
Please quote 20ENGEL_NZ in all correspondence and in your graduate application.
Application deadline: noon on 24 January 2020
Start date: October 2020