PhD position in Large-Scale Information Networks, Imperial Collge

PhD position in Large-Scale Information Networks

Intelligent Systems and Networks Group
Electrical and Electronic Engineering Department
Imperial College London

Supervisors:

- Moez Draief (Networks and Algorithms)
http://www.iis.ee.ic.ac.uk/~m.draief/file/Home.html
- Deniz Gunduz (Information Theory)
http://www.cttc.es/en/home/dgunduz


We are looking for an excellent PhD candidate to work on problems at the frontier between information theory and networks in order to develop models and algorithms for inference and learning in the context of Big Graph Data. We are particularly interested in problems arising from social network analysis, distributed storage systems and/or large-scale databases.

The successful candidate will have a good 1st degree and an MSc degree from a reputable university in Statistics/Electrical Engineering/Operations Research/Computer Science, a strong background in probability and stochastic processes, and the ability and the desire to work with data.


Interested candidates should get in touch with either M. Draief (m.draief@imperial.ac.uk) or D. Gunduz (d.gunduz@imperial.ac.uk) for further information.



Imperial College London is a university of world-class scholarship, education and research in science, engineering and medicine, with particular regard to their application in industry, commerce and healthcare. Established in 1907, it is located in the heart of London. It is consistently rated among the United Kingdom's top three universities, and in 2012, is ranked 8th in the world by the Times Higher Education Supplement, and 9th by the US News. The College has over 3,000 academic and research staff and almost 14,000 students from over 120 different countries. Imperial has about 90 spinout companies to date and is adding to this by an average of two per month. Interdisciplinary research is promoted through several Institutes, for example the Grantham Institute for Climate Change and the Energy Futures Lab. We provide undergraduate and postgraduate teaching in all branches of science, engineering and medicine.