Two Post-Doctoral Research Assistantships Available
Division of Computing and Information Systems
University of Paisley
A research project which is to be funded by the Engineering and Physical Sciences Research Council (EPSRC), the Department of Trade and Industry (DTI), and industrial partners, to a total value of over £530K, will be conducted at the University of Paisley in Scotland for a period of three years.
T
he project aims to investigate the technologies 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.
Two postdoctoral positions are 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 both 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. State-of-the-art computer hardware and software will be made available to the selected candidates, as will ample funding for travel to international conferences and meetings.
Salaries will be on the R1A scale, starting at £20,066pa to £27,550pa.
The Applied Computational Intelligence Research Unit (ACIRU) is a young, ambitious and growing interdisciplinary research group within the University of Paisley. Within Scotland ACIRU have active and funded research collaborations with the University of Edinburgh, University of Stirling (http://www.cn.stir.ac.uk/incite/), the University of Glasgow and the University of Strathclyde and it forms part of a rich network of research establishments within which to work.
For further information and informal enquiries please contact Mark Girolami (mark.girolami@paisley.ac.uk, http://cis.paisley.ac.uk/giro-ci0) in the first instance.
EPSRC & DTI Project
Data mining Tools for Fraud Detection in M-Commerce * DETECTOR
http://cis.paisley.ac.uk/giro-ci0/projects.html
Abstract: The effective detection and subsequent analysis of the types of fraudulent activity which occur within telecommunications systems is varied and changes with the emergence of new technologies and new forms of commercial activity (e&m-commerce). The dynamic nature of fraudulent activity as well as the dynamic and changing nature of normal usage of a service has rendered the detection of fraudulent intent from observed behavioural patterns a research problem of some considerable difficulty. It is proposed that a common theoretical probabilistic framework be employed in the development of dynamic behavioural models which combine a number of prototypical behavioural aspects to define a model of acceptable behaviour (e.g. usage of a mobile phone, web-browsing patterns) from which inferences of the probability of abnormal behaviour can be made. In addition to these inferential models a means of visualising the observed behaviour and the intentions behind it (based on call records, web activity, or purchas
ing patterns) will significantly aid the pattern recognition abilities of human fraud analysts. Employing the common probabilistic modelling framework which defines the 'fraud detection' models visualisation tools will be developed to provide meaningful visual representations of dynamic activity which has been observed and visualisations of the evolution of the underlying states (or user intentions) generating the observed activity. The development of detection & analysis tools from the common theoretical framework will provide enhanced detection and analysis capability in the identification of fraud.
M.A.Girolami
School of Communication and Information Technologies
University of Paisley
High Street
Paisley, PA1 2BE
Scotland, UK
Tel: +44 - 141 - 848 3317
Fax: +44 - 141 - 848 3542
Email: mark.girolami@paisley.ac.uk
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