Recently, a new social-insect behaviour has been examined experimentally, collective nest-site selection during colony emigration.
This is a collective decision-making mechanism, that converges on a unique solution while exhibiting a tuneable compromise between the speed and the accuracy of decision-making.
The successful applicant will investigate the application of this behaviour to distributed control problems in utility computing centres, with input from HP Labs.
It is expected that the student’s research will also lead to developments in algorithm design and statistical decision theory.
The successful candidate will have a high quality first degree(s) in a numerate discipline such as mathematics, physics or computer science.
The studentship will be based in the Machine Learning and Biological Computation Group, in the Department of Computer Science at the University of Bristol.
The studentship is expected to commence in early October, but an immediate start may be possible by negotiation.
The studentship will pay tuition fees and a stipend of 12,600 GBP per annum for 3 years.
Applications from Overseas applicants will be considered.
For informal discussions contact Dr James Marshall: marshall[at]cs.bris.ac.uk
The closing date for applications is 14th March.
For further details, and application materials, contact: PhD Studentship in Distributed Computing