About the Project
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in January 2017 or September 2017 for students seeking funding, or at any point in the academic year for self-funded students.
This project will be supervised by Dr Vincenzo Nicosia.
The aim of this project is to devise models and measures for network-based characterisation of spatial information about human activity. In particular, the thesis will be focused on the investigation of new methods to construct network representations of spatial distributions (e.g. through simple, multi-layer, and time-varying graphs), on the quantification of the properties of those distributions by means of appropriate network descriptors, and on the construction of mechanistic models able to reproduce stylised facts of those data sets. Although the project is mainly methodological, there will be the opportunity to test the proposed models and measures on large data sets of real-world spatial systems, including metropolitan environments, census data, online social networks, and brain networks. The prospect candidate will posses a well-balanced mixture of mathematical and computational abilities, and should ideally have a solid background in at least two subject among discrete maths, random processes, time series analysis, graph theory, network science, scientific computing.
Full details can be found in the project abstract: http://www.maths.qmul.ac.uk/sites/default/files/PhD%20Projects%202016/Complex%20Systems/Nicosia%20Project%202017.pdf
The application procedure is described on the School website. For further enquiries please contact Dr Vincenzo Nicosia, [Email Address Removed]. This project is eligible for full funding, 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 November 30th 2016 to start in January 2017, and January 31st to start in September 2017.
Funding Notes
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 2017.
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.
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