Academic

UNIVERSITY OF CENTRAL LANCASHIRE
PhD Studentship
High Performance and Parallel Data Mining

Reference No RS/08/24

Applications are invited for a full-time studentship available in the School of Computing, Engineering and Physical Sciences in the Faculty of Science and Technology. The studentship is tenable for up to 3 years for the MPhil/PhD (subject to satisfactory progress). The studentship will cover the cost of tuition fees at UK/EU rates plus a stipend (currently �12,940 for 2008/09) per annum. International applicants may apply but will be required to pay the difference between UK/EU and international fees. The successful applicant will start on 1st October 2009.

The project will work on "High Performance and Parallel Data Mining" in the School of Computing, Engineering and Physical Sciences. Across many applications, there is increasing utilisation of data mining algorithms to extract previously unknown knowledge from large datasets. Underpinning aspects of these algorithms include that they involve search space traversal and are relatively small and repeated frequently. Thus they are ideal for implementation on high performance accelerators and massively parallel machines. The project will investigate the area of parallel search and its application within a number of data mining approaches and application spaces. High Performance Computing (HPC) architectures and the new HPC technologies (GPGPU, IBM Cell, etc.) will be utilised.

Prospective candidates will have a good honours (or equivalent) degree in Computer Science, Engineering Disciplines or other relevant numerate subjects. The successful applicant should have a good background in C/C++ programming.

Informal queries about the project may be directed to Dr Firat Tekiner. For more information see visit: www.star.uclan.ac.uk/~ft/

Requests for an application pack (quoting the reference number RS/08/24) should be directed to the Graduate Research Office. Tel +44 (0)1772 895082 or e-mail researchdegrees@uclan.ac.uk .

Interviews will be held in the week commencing 13th July 2009

Closing Date for Applications to the Graduate Research Office: Friday 26th June 2009