PhD Studentships in Statistics Available: “Big Data” and its Applications
1 February 2012
PhD Studentships in Statistics: “Big Data” and its applications to Social Network Dynamics, Behavioural Finance, Business Analytics, Computational Retail and Healthcare.
Applications are invited for PhD funding opportunities based in the Departments of Statistical Science and Computer Science at University College London, to start no later than September-November 2012.
UCL is ranked among the top ten research institutions worldwide and has unique strengths in Statistics and Machine Learning. Together with other groups at UCL, the Departments of Statistical Science and Computer Science form the Centre for Computational Statistics and Machine Learning, which is part of the European network PASCAL. UCL is a member of the London Taught Course Centre which provides additional training in foundations of Mathematics and Statistics. UCL also offers training via its graduate school.
The studentships are funded by the UK PhD Centre in Financial Computing and are tenable for 48 months (1 year Masters study followed by 3 years of applied research). The full award covers living expenses as well as tuition fees (subject to eligibility).
Successful applicants will work with Professor P J Wolfe and colleagues in Computational Finance to develop methods of modelling and inference for graphs and networks, including time series analysis and other aspects of “Big Data”, with applications to social networks and behavioural finance, business analytics, and computational retail and healthcare. The scale and nature of such datasets necessitates new analytical-computational approaches to statistical modelling, putting these problems at the forefront of contemporary statistical theory and practice.
The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class BSc degree, or an MSc with merit or distinction in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.
How to Apply
To inquire about these studentships please contact Yonita Carter, firstname.lastname@example.org. Candidates should also apply for the MPhil/PhD in Statistical Science in the usual way by completing the online form available here. Applications will be evaluated on an ongoing basis.