Internship Scheme

Due to the COVID-19 pandemic, the scheme will not run in Summer 2021.

The Warwick Statistics Internship Scheme is an 8 week programme taking place in July and August. Successful applicants will be allocated a research project and supervisor, and have the opportunity to work on cutting edge research in statistics, probability, or mathematical finance. You will have the chance to collaborate with PhD students and staff in the department, be part of a global cohort of fellow interns, and gain first hand experience of what a PhD in the department might entail.

Accommodation and support

We will provide you with accommodation in our student halls of residence on Warwick campus for the duration of the internship. We will also cover reasonable travel expenses to and from Warwick at the beginning and end of the programme. In addition, you will receive a stipend of £150 per week.

Example projects

See here for a list of example projects and supervisors. Note that applications are for the internship scheme in general, and not to a specific project. To give you a chance to speak to prospective supervisors before committing to a project, allocation of supervisors and projects to interns will take place after an induction event in the first week of the scheme. A list of broad staff research interests, as well as links to individual web pages, can be found here.

Additional events

In addition to working on your project with your supervisor(s), there will be weekly cohort-level activities consisting of a mix of academic seminars, and social events.

Expected outputs

You will be expected to produce a record of your work throughout the internship. The record should include an overview of the relevant academic literature, a reproducible description of your own work and methodology, as well as a report of obtained results. The format of the record should be agreed with your supervisor: a traditional written report is great, but so is e.g. a website hosted on the Warwick server. The key requirement is that the format is persistent, so that it can be referred to and built upon. There is no formal assessment of the record, though you can expect feedback from your supervisor.

In addition to the record, there will be an one day workshop at the end of the internship at which interns are expected to present their work and results to each other, as well as graduate students and members of academic staff. The presentation should summarise the contents of the report in a way that is accessible to a general mathematical audience, and may use any or all of a blackboard, slides, or other multimedia.

Eligibility and how to apply

We welcome applications from across the globe. We expect you to be in (at least) the penultimate year of undergraduate study in a quantitative subject, and on track for a first class degree.

To apply, click the link in the top right of this page, and fill in the web form. Your personal statement should indicate your academic background and interests. In particular, it would be advisable to answer the following questions:

What motivates you to undertake an internship?
What area(s) of probability or statistics particularly interest you?
In what subject areas does your academic background best equip you to carry out research?
What do you consider to be your particular strengths? (e.g., theoretical work? applied statistics? computational work?)
Have you already identified and/or made contact with a particular potential supervisor in the Department? (It is not necessary to do that before applying; but if you have done that already it is useful to provide the information here.)

Application deadline: Suspended

We expect to conduct interviews (mostly via Skype or a similar platform) in the first two weeks of March, and you can expect a decision shortly thereafter.

Informal enquires

Please send informal enquires to Richard Everitt (richard dot everitt at warwick dot ac dot uk), Jere Koskela (J dot Koskela at warwick dot ac dot uk) or Nick Tawn (N dot Tawn dot 1 at warwick dot ac dot uk).

How to Apply

Illustrative Projects