PhD Studentship - Statistical Analysis of Risk, Failure, and Extreme Event Propagation in the Airline Industry using Multi-level Networks

University of Nottingham - Mathematical Sciences

Location: University Park

Supervised by Dr Yves van Gennip and Dr Gilles Stupfler

This project will be based at the University of Nottingham in the School of Mathematical Sciences.

The goal of this project is to assess the quantitative impact of the spread of risk due to extreme events on multi-level networks. In particular, we will study this in the setting of the airline industry where failure of an electronic or mechanical component of an aircraft has an impact at the level of the component supply network, the airline network, and the airlines' insurer network.

In the airline industry, each airline forms relationships with component manufacturers and insurers. The key goals of this project are to:

  • examine to which extent the failure of components of an aircraft can have significant consequences on airlines;
  • assess how this may entail losses that are passed on to insurance companies as well as the magnitude of such losses.

Of particular interest is the modelling of how often the failure of a critical component of an aircraft happens and how often this results in a catastrophic event for an airline and ultimately in an extreme loss for insurers.

The work will be conducted in close collaboration with Russell Group, a company providing leading risk management software and service to insurers and reinsurers, especially in the airline industry. The company will provide data from the airline industry to incorporate in this project. The student will therefore benefit from a lively and highly interdisciplinary working environment combining academic life and the vision and ambitions of the private sector. The student should be prepared to spend some time at the company as part of the project, if necessary.

Summary: UK/EU students - Tuition fees paid, and an enhanced stipend of £17,553 per annum. There will also be some support available for you to claim for limited conference attendance. The scholarship length will be 4 years.

Eligibility/Entry Requirements: We require an enthusiastic graduate with a 1st class degree in Mathematics, preferably of the MMath/MSc level, or an equivalent overseas qualification. This project will heavily use network modelling, statistical analysis of networks and extreme value analysis and as such, familiarity with one or several of these topics would be desirable, as would be experience with scientific computing software such as MATLAB, R and/or SPSS. Let us emphasise that while experience with one of the aforementioned fields would be beneficial, the willingness to learn and engage with them is an absolute necessity.

Apply: This studentship is available to start from September 2017 and remains open until it is filled. To apply please visit the University of Nottingham application page:

For any enquiries please email:

This studentship is open until filled. Early application is strongly encouraged.

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Midlands of England