Network Modelling of Spatial Distributions from Large Data Sets

Project Description

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2020 for students seeking funding, or in January 2020 or April 2020 for self-funded students. The deadline for funded applications is the 31st of January 2020. The deadline for China Scholarship Council Scheme applications is 12th January 2020.

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.

Funding Information

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.

This project can be undertaken as a self-funded project. Self-funded applications are accepted year-round for a January, April or September start.

We welcome applicants through the China Scholarship Council Scheme (deadline for applications 12th January 2020).

Eligibility Requirements

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.

Application Process

The application procedure is described on the School website. For further inquiries please contact Dr. Vincenzo Nicosia at [email protected]. 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.

Supplementary Information

The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study.

References

V. Latora, V. Nicosia, G. Russo, “Complex Networks: Principles, Methods and Applications”, Cambridge University Press, 2017.

M. Barthelemy, “Spatial networks”, Phys. Rep. 499, 1-101 (2011)

S. Boccaletti et al. “The structure and dynamics of multilayer networks”, Phys. Rep. 544 (1), 1-122 (2014).

To apply for this PhD, please use the following application link: https://www.qmul.ac.uk/maths/postgraduate/postgraduate-research/application-process/

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