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 (mark.girolami@paisley.ac.uk).
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
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