PhD Fellowships: Ireland: At DERI

Funded PhD Studentship in Dynamic Graph-Mining and Analysis of Online Communities and Social Networks

The Digital Enterprise Research Institute (DERI) at the National University of Ireland Galway is seeking applications for a funded PhD student. The successful candidate will join the EU-funded FP7 ROBUST project team in DERI at NUI Galway, which focuses on the analysis of online community and social network content and structure, predicting its evolution and making suitable suggestions for rapid action or stimulation.

DERI Galway is an internationally recognised institute of 130 people that focuses on research in Semantic Web and Web Science. DERI's mission is to enable networked knowledge, globally interlinking information from the Web and the physical world. The successful candidate will be based in DERI’s Unit for Information Mining and Retrieval, which focuses on topics such as web-mining, graph theoretic analysis, social network analysis, information diffusion and modelling, modelling of dynamic social systems, adaptive personalisation and recommender systems, case-based reasoning and machine learning, as well as data management and query processing for Semantic Web and the Web of Data. The unit has several national and internationally funded projects and a wide number of collaborations at national and international level.  

Criteria: The successful candidate should have at least a bachelor’s degree in computer science, maths, science or engineering, have the pre-requisites for PhD studies at NUI Galway, and must have good English-writing skills. Further, good programming and data analysis skills are expected. The PhD studentship covers academic fees, a generous monthly stipend and a research travel allowance for a three-year period, as well as the use of DERI's facilities for experimentation and research.

  In addition, the following criteria are desirable but not necessary:

·      Masters or equivalent degree in a relevant discipline or topic;

·      Familiarity with graph algorithms and theory (e.g., finding connected components efficiently) and with social network analysis;

·      Familiarity with dynamic community analysis

·      Familiarity with modelling and simulation;

·      Familiarity with large-scale, dynamic data analysis (e.g., data streaming algorithms);

·      Familiarity with data mining, feature selection and machine learning

·      Familiarity with parallel algorithms;

 

The successful candidate will work with the DERI Principle Investigator, Dr. Conor Hayes, and Dr. Marcel Karnstedt. There will be extensive opportunities for collaboration with other researchers and with other research groups and projects in DERI and Europe, and with other world-wide institutes with whom DERI collaborates.

 Contact us: Interested applicants should send an application with the subject header ROBUST_PhD_STR to conor.hayes@deri.org and marcel.karnstedtderi.org. The application must contain the following:

·       A CV

·       A one page statement explaining the candidate's interest in and compatibility with the objectives of the position

·       A list of (minimum two) referees

·       Additionally, publications, software and other artefacts that the student may be consider relevant - as links to resources available online

Applications that do not follow this format will not be considered.

Closing date: Jan 15th, 2011.

Deadline : 15 January 2011

Link: http://www.deri.ie/about/jobs/