Post-Doctoral Research Assistantship A research project which is funded by the Engineering and Physical Sciences Research Council (EPSRC), the Department of Trade and Industry (DTI), and industrial partners will be conducted at the University of Paisley in Scotland for a period of three years. The project aims to develop the technology required in software systems which will be able to provide effective detection and subsequent analysis of fraudulent activity within the general framework required of emerging fixed and mobile telecommunications applications such as electronic and mobile commerce. One postdoctoral position is now available to investigate the application of machine learning and advanced data mining methods in the detection and analysis of anomalous and possibly fraudulent usage of fixed and mobile telecommunications applications such as electronic and mobile commerce. The project will involve the design and implementation of novel algorithms and systems to discover and analyse emerging patterns of anomalous telecommunication system user activity.
Highly motivated candidates who have a publication record in, ideally, machine learning, data mining or artificial intelligence applications are encouraged to apply. Applicants should have, or shortly expect to obtain, a PhD in Computer Science. Salaries will be on the R1A scale, starting at �22,200pa to �27,550pa. For further information and informal enquiries please contact Mark Girolami ([EMAIL PROTECTED]). EPSRC & DTI Project Data Mining Tools for Fraud Detection in M-Commerce * DETECTOR http://cis.paisley.ac.uk/giro-ci0/projects.html Professor. M.A Girolami PhD Associate Head of School and Chair of Applied Computational Intelligence School of Information and Communication Technologies University of Paisley High Street Paisley, PA1 2BE Tel: +44 (0)141 848 3317 Fax +44 (0)141 848 3542 http://cis.paisley.ac.uk/giro-ci0
