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The Digital Enterprise Research Institute (www.deri.ie) at the National
University of Ireland Galway is seeking applications for a funded PhD
studentship in Dynamic Network Analysis, Mining and Modelling.

The successful candidate will join the Clique Strategic Research Cluster
(www.cliquecluster.org) in DERI, Galway. Clique is a Science Foundation
Ireland-funded research cluster addressing the development of
analytical, modelling and visualisation techniques for large scale,
dynamic graphs and networks. The cluster is distributed between DERI and
University College Dublin, and has industry partners such as IBM.

The DERI group conducts fundamental algorithmic work as well as
investigating and modelling the principles underlying the evolution and
interactions in large social, communication and collaborative networks.
Areas of interest include but are not limited to:
	* Analysing user roles in social networks and designing efficient
algorithms to find these [1];
	* Analysing and modelling the interactions between online communities [2];
	* Formulating predictive models for information diffusion in social and
collaborative networks;
	* Designing efficient graph algorithms to find evolving communities
with correlated change behaviour [3];
	* Designing scalable, distributed, real-time algorithms to tackle
problems in massive dynamic graph datasets.

The successful candidate should have at least a bachelor's degree in
computer science, maths, science or engineering, and have the
pre-requisites for PhD studies at NUI Galway (www.nuigalway.ie). The PhD
studentship covers academic fees, a generous monthly stipend and a
research travel allowance for a three year period.

In addition, the following criteria are desirable but not necessary:
	* Familiarity with graph algorithms and theory (e.g., finding connected
components efficiently);
	* Familiarity with modelling and simulation;
	* Familiarity with social network analysis;
	* Familiarity with large-scale, distributed, dynamic data analysis
(e.g., data streaming algorithms);
	* Familiarity with data mining, feature selection and machine learning,
especially graph mining and graph grammars;
	* Masters or equivalent degree in a relevant discipline or topic;

The successful candidate will work with the DERI Principle Investigator,
Dr. Conor Hayes, Dr. Jeffrey Chan and Dr. Marcel Karnstedt in the Clique
Research Cluster at DERI, Galway (see uimr.deri.ie). There will be
extensive opportunities for collaboration with other Clique researchers
(see www.cliquecluster.org/content/people) and with other research
groups and projects in DERI.

Interested applicants should send an application with the subject header
CLIQUE_PhD_10 to [log in to unmask]
The application must contain the following: a CV, a one page statement
explaining the candidate's interest in the position as well as their
suitability, and a list of referees. Applications that do not follow
this format will not be considered. Closing date: May 31th, 2010.

References:
[1] Jeffrey Chan and Conor Hayes, 'Decomposing Discussion Forums using
User Roles', in Proceedings of 2nd Web Science Conference 2010, USA, 2010.
[2] Marcel Karnstedt and Conor Hayes, 'Towards Cross-Community Effects
in Scientific Communities', in Knowledge Discovery, Data Mining and
Machine Learning, 2009.
[3] Jeffrey Chan, James Bailey and Christopher Leckie, '€œDiscovering
correlated spatio-temporal changes in evolving graphs', in Knowledge and
Information Systems, 16(1), 2008.
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