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University of Cambridge Andrew Moore
Doe-Net: Optimal design of performance measurement experiments for complex, large-scale networks
Computer Laboratory > Andrew Moore > Research > Doe-Net: Optimal design of performance measurement experiments for complex, large-scale networks

Doe-Net: Optimal design of performance measurement experiments for complex, large-scale networks


Applications are invited for a (UK/EU) fully-funded EPSRC PhD studentship in the University of Cambridge, Computer Laboratory.

The closing date for receipt of completed applications is 28th November, 2008. The start date of the PhD studentship is 1st April, 2008. There is no significant flexibility in these dates.

This project will suite someone who was comfortable with the statistics but inclined toward the computer science/engineering and building-things would be ideal - I anticipate this student becoming immersed in both some small-scale and some (AT&T-based) large experiments based upon this work.

We intend to examine the optimal design of performance measurement experiments for complex, large-scale networks. It is as part of a collaboration with Steven Gilmore at Queen Mary, University of London Mathematics department and John Schormanns at the Queen Mary, School of Electrical Engineering and Computer Science.

Project Abstract and Call for Support (PDF)

If you have questions, please contact Dr. Andrew Moore

Although you may wish to start with the advice of this page.

While this project is assocated strongly with a new project, I still require a research proposal expressing your considered research plan. This is your oppourtunity to shape the way in which you wish to engage with this project.


Andrew W. Moore