Research Associate/Senior Research Associate at the Cambridge University Computer Laboratory

Research Associate £31,604 – £38,833 or Senior Research Associate £39,992 – £50,618

Fixed-term: The funds for this post are available for 24 months.

A Research Associate post is available in the Systems Research Group at the Cambridge University Computer Laboratory for up to 2 years with the possibility of extension. Appointment to Senior Research Associate will be considered for exceptional candidates. We welcome applications from candidates with experience outside academia.

The Systems Research Group provides a supportive and rigorous environment in which to undertake world-leading research in a wide range of topics in computer systems. The group’s outputs are not limited to publications but often also include spin out companies significant successes include XenSource (acquired by Citrix Systems Inc. for $500M in 2007) and Unikernel Systems (acquired early last year by Docker Inc.).

The group holds a portfolio of projects supporting development, experimentation and data analysis in personal networked systems to support Human-Data Interaction including Databox and DADA .

This post will focus on design, development and systematic evaluation of technology prototypes for traffic management of domestic IoT devices. This will entail using technologies such as eBPF and Linuxkit to gather data to feed a range of machine learning algorithms, as well as consuming the results of those algorithms alongside user inputs to dynamically reconfigure network connectivity as device behaviours evolve.

Successful candidates will hold a Ph.D. in Computer Science, or have equivalent skills and experience through non-academic routes, and must be able to evidence:

  • Ability to communicate clearly in English, in both written and spoken forms.
  • Familiarity with the core Internet protocols (e.g., TCP/IP, UDP, DNS), the BSD Socket APIs, and Linux software development.
  • Experience of or aptitude for systems-level (e.g., OS kernel, device driver, assembly level) software development.
  • Experience of or aptitude for rigorous system measurement and evaluation, including experiment design, data capture, and data analysis. This may have been gained in commercial or industrial settings as well as through production of academic papers.

Other desirable characteristics include:

  • Evidence of an excellent publication record, commensurate with level of experience is also desirable. Candidates from outside academia may be able to evidence this by providing examples of rigorous technical writing published or distributed through channels other than academic conferences and journals.
  • Familiarity with machine learning algorithms, techniques and applications.

For more background information on the Systems Research Group, see where further information about the projects mentioned can also be found.

Informal enquiries should be directed to Richard Mortier (

To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure you upload your Curriculum Vitae (CV) and a covering letter. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR16300 on your application and in any correspondence about this vacancy.

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