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Meta-network tools and models for the identification of key players in relational big data

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Awaiting Funding Decision/Possible External Funding
    Awaiting Funding Decision/Possible External Funding

Project Description

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2016 (funded students) or at any point in the academic year (self-funded students).

The aim of this PhD project is to provide meta-network tools and models for the analysis of large multi-dimensional relational data sets. The research will move along two parallel lines, namely: i) the formulation of novel metrics to extract relevant information from large-scale multi-layer networks, e.g. through the identification of the most important nodes, connections, and layers with respect to different notions of centrality, and in relation to different kinds of dynamical processes; ii) the construction of simple mechanistic models able to reproduce the patterns of node, edge and layer centrality observed in real-world multi-dimensional networks.

The project will be based on the analysis of large-scale data sets of social, biological and technological systems, including online social networks, multi-modal functional brain networks and transportation systems, and will require a well-mixed balance of analytical and computational skills. There is the possibility to collaborate with O. Bandtlow on more rigorous mathematical aspects of dynamical systems theory, and with A.V. Chechkin, a world leading expert on advanced stochastic theory. This highly interdisciplinary project is right at the interface between stochastic theory, dynamical systems theory, statistical physics, and computer simulations.

This project will be supervised by Dr Vincenzo Nicosia.

For full details, see the project abstract: http://www.maths.qmul.ac.uk/sites/default/files/phd%20projects%202015/Complex%20Systems/nicosia.pdf

The application procedure is described on the School website. For further enquiries please contact Dr Vincenzo Nicosia ().

This project is eligible for several sources of full funding for the 2016/17 academic year, including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs. Applicants interested in the full funding will have to participate in a highly competitive selection process. The best candidates will be eligible to receive a prestigious Ian Macdonald Postgraduate Award of £1000, for which you will be considered alongside your application. The application deadline for full funding is January 31st 2016.

There is also 50% funding scheme available for students who are able to find the matching 50 % of the cost of their studies. Competition for these half-funded slots will be less intensive, and eligible students should mention their willingness to be considered for them in their application. The application deadline for 50 % funding is January 31st 2016.

This project can be also undertaken as a self-funded project, either through your own funds or through a body external to Queen Mary University of London. Self-funded applications are accepted year-round.

Funding Notes

If you wish to apply, please visit the application website and mention that you wish to work on the “Meta-network tools and models for the identification of key players in relational big data” project.

School website: View Website

Related Subjects

How good is research at Queen Mary University of London in Mathematical Sciences?

FTE Category A staff submitted: 34.80

Research output data provided by the Research Excellence Framework (REF)

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