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We are seeking to recruit a creative and highly motivated prospective PhD student who is fascinated by the relationship between information flow on the Internet and real world behaviour, to work with Tobias Preis and Suzy Moat.

Our work so far has investigated how data from Google, Wikipedia, Flickr and Twitter can be used to measure and predict economic behaviour, criminal activity and reactions to disasters. Applicants should have strong programming skills and exciting ideas to join us in developing this research stream, as well as a minimum 2.1 class undergraduate degree in a relevant quantitative discipline and ideally a relevant Master’s degree (or equivalent research experience in a work setting).

You will also have very strong interests in finding behavioural patterns in large sets of data. You will have a range of technical skills to support you in this endeavour, and will be able to demonstrate these skills through success in related past projects. Ideally, you will also have some experience with either statistics or machine learning.

Data Science is a highly interdisciplinary area. We are very happy to accept applications from students with a background in any discipline who can demonstrate solid quantitative skills and a strong interest in using these abilities to investigate human behaviour. The current team has an interdisciplinary background in both the social sciences and quantitative disciplines such as Computer Science, Physics and Mathematics.

Supervisory team:
Dr Tobias Preis, Associate Professor of Behavioural Science and Finance
Dr Suzy Moat, Assistant Professor of Behavioural Science

How to apply
Candidates with appropriate experience and research interests must apply through the online applications procedure (http://www.wbs.ac.uk/courses/doctoral/phd/apply/) and provide the following additional documents:

1. A curriculum vitae
2. A covering letter explaining your interest in, and aptitude for, this research project, in particular

a) why you are attracted to this particular opportunity
b) what qualities you feel you can bring to the project – including details of your programming skills, any knowledge of statistics or machine learning, and descriptions of previous successful projects you have completed
c) how the studentship fits with your career aspirations

3) A 2,000 word research proposal based on the topic of the research project

For enquiries and details on how to apply please contact:

Doctoral Programme Office
Tel: +44 (0)24 7652 4754
Email: phdadmissions@wbs.ac.uk

Please quote DATASCIENCE on your application and submit by 1 July 2014. Please note the normal application deadlines for the WBS Doctoral Programme do not apply to these studentships.

Shortlisted candidates will be invited to an interview to take place soon after the closing date for applications.

To discuss the posts further please address initial enquiries to Tobias.Preis@wbs.ac.uk.

Job website: 
http://www.jobs.ac.uk/job/AIR650/fully-funded-phd-studentship-in-data-science/