PhD Studentship: Balancing Computational Constraints With Analytic Performance in Understanding Large Heterogeneous Networks

University College London

Start Date: 25 September 2017

Applications are invited for a PhD Industrial CASE studentship funded jointly by the EPSRC and Elsevier. The studentship will commence on 25 September 2017 and is based at the UCL Department of Statistical Science.

To be eligible for the full award, applicants must normally be UK/EU nationals and have been ordinarily resident in the UK for 3 years prior to the start of the studentship. Further details concerning the regulations on student eligibility are available on the EPSRC website.

Studentship Description

This project aims to develop innovative computation methods to assess hierarchical structure in networks and the statistical features that make up components at various levels in the hierarchy.  Students with interests in statistics, mathematics, computer science or a related quantitative discipline are strongly encouraged to apply. Informal enquiries to Professor Sofia Olhede or Professor Patrick Wolfe are welcome.

The studentship is 4 years in duration, with the student spending 3 months on placement at Elsevier. The award covers tuition fees plus a tax-free maintenance stipend, which is currently a minimum of £16,553 per annum.

Person Specification

The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class Bachelor’s degree, or a Master’s degree with merit or distinction in Mathematics, Statistics, Computer Science, Engineering or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable. Further details can be found on the Departmental website.

How to Apply

Candidates should apply for the Research Degree: Statistical Science (RRDSTASING01) in the usual way by completing the online form and, in addition (and very importantly), send a separate covering letter directly to the department making their case for the funding. The covering letter should be sent to Dr Russell Evans at

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