Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentship for the project “Evaluation of the Turkish Catastrophe Insurance Pool” starting 1 April 2022. Successful applicants will receive an annual stipend (bursary) of £17,609, including inner London weighting, plus payment of their full-time tuition fees for a period of 36-months (3 years).
Applicants must be classified as home (UK) tuition fee paying student to be eligible for this studentship.
The Project
Turkey suffers from the devastating effects of earthquakes throughout its history. The Turkish Catastrophe Insurance Pool (TCIP, Turkish acronym DASK) has been a success story as it is designed to be the first public private partnership insurance system in a developing country, which introduces an understanding of earthquake hazard and encourages them to buy compulsory earthquake insurance. In this exciting project, you will evaluate the existing earthquake insurance scheme in Turkey and provide guidance to the policy development for the future. Experience shows that the losses caused by catastrophic events are extremely high. To tackle the problem of modelling rare event, various statistical models can be used such as Extreme Value Theory and quantile regression to evaluate the heavy-tailed characteristics. This project will investigate new robust inference models and methods for the tail behaviour of the Turkish Catastrophe Insurance data.
Please contact Dr Jia Shao at [Email Address Removed] to arrange an informal discussion about the project.
Skills and Experience
Applicants should have a background in statistics, applied mathematics, or data science, with some exposure to finance and insurance, and an enthusiasm for working on fundamental problems in the field. Applicants should be motivated to work on fundamental problems in the field, and have a strong sense of curiosity. You should also be able to work independently as well as in a team, collaborate with others and have good communication skills.
Academic Entry Criteria
You will have or be expected to receive a 1st class or 2:1 honours degree in Statistics, Mathematics, Applied mathematics, Data Science or a similar discipline. A masters degree is not required but may be an advantage.
How to Apply
Please submit the documents below as a single PDF file by email to [Email Address Removed] by 14:00 on Monday 28 February 2022.
- Your up-to-date CV;
- Your personal statement (300 to 500 words) summarising your background, skills and experience. Please state the name of the project supervisor at the top of your personal statement;
- Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
- Your English Language qualification to an overall score of IELTS 6.5 (minimum 6.0 in any section), if appropriate;
- Contact details for TWO referees, one of whom may be a member of Brunel University academic staff.
Interviews will take place in early/mid-March 2022.
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