Faculty of Science
Application Deadline 31st July 2013. This studentship is available for a 1st October 2013 start.
Primary: Dr Anthony Bagnall
Dr Bagnall’s main research interest is in developing techniques for time series data mining and applying them to a wide range of problem domains. He would welcome applications from students who have secured their own funding who wish to work in any areas of time series data mining. Specifically, Dr Bagnall has projects available in Time Series Classification and is looking for people to work on image outline classification and with environmental datasets, but he will consider proposals in related areas such as time clustering, regression and rule induction and other problem domains.
If you would like to discuss research projects in more detail, please contact Dr. Bagnall directly ([email protected]).
References I. Bagnall, A., Davis, L., Hills, J. and Lines, J. (2012) Transformation Based Ensembles for Time Series Classification. In: Proceedings of the SIAM International Conference on Data Mining
II. Lines, J., Davis, L., Hills, J. and Bagnall, A. (2012) A Shapelet Transform for Time Series Classification. In: Proceedings of the 18th SIGKDD
III. Davis, L., Theobald, B., Toms, A. and Bagnall, A. (2012) On the Segmentation and Classification of Hand Radiographs, International Journal of Neural Systems 22 (4). pp. 20-36
IV. Bagnall, AJ, Ratanamahatan, C, Keogh, E, Lonardi, S and Janacek, GJ (2006) A Bit Level Representation for Time Series Data Mining with Shape Based Similarity. Data Mining and Knowledge Discovery Journal, 13 (1). pp. 11-40
V. Bagnall, AJ and Janacek, GJ (2005) Clustering time series with clipped data. Machine Learning, 58 (2). pp. 151-178
A first or upper second class degree (or international equivalent) in Computing Science, Chemistry, Biochemistry, Physics, or Mathematics.
This studentship will cover the cost of fees at the UK/EU rate and provide a stipend at the standard RCUK rate (currently Â£13,726). Non-EU students are welcome to apply but due to funding restrictions will be required to pay the difference between UK/EU and International fees.
Making your Application:
Please apply via the Universityâs online application system.
To discuss the application process please contact the Admissions Office, email [email protected] or telephone +44 (0)1603 591709.