| A highly motivated candidate is being sought for a PhD studentship funded by the University of Paisley and Memex Technology Ltd, (http://www.memex.com) a worldwide leader in database and information retrieval technology. The studentship covers tuition fees and living expenses for a student from any European Union Country. Exceptional candidates from non-EU countries will also be considered for this position. The studentship is for a period of three years and the student is expected to gain a PhD in Computing Science at the end of this period. A member of staff of the Applied Computational Intelligence Research Unit will supervise the successful candidate with additional technical guidance being provided by senior technical staff from Memex Technology Ltd.
The student will need to be technically oriented as well as being mathematically proficient, holding a first degree (either first class or upper second class honours or equivalent) in mathematics, physics, engineering, statistics, computer science or a similar discipline. In addition the student should have good practical experience in developing software applications with C++ or Java.
An Investigation of Data Mining and Machine Learning Techniques
Applied to Information Retrieval and Analysis.
Investigating computational methods, which have the ability to uncover and aid identification of previously unknown implicit relationships within large-scale distributed heterogeneous data repositories, is an important and timely research pursuit. Terms such as 'Data Mining', 'Knowledge Discovery', 'Intelligent Data Analysis', are commonly associated with extracting valuable and critical information from large data repositories. Typical examples of application domains for such technologies are e-Commerce Shopping Basket Analysis, Web Searching and Crime Investigation amongst many others.
This proposed research project will investigate, develop and evaluate scalable practical algorithms, based on a number of recently developed theoretical probabilistic methods for the identification and subsequent analysis of underlying latent relationships between heterogeneous data records stored in distributed data repositories. This project will be conducted in collaboration with Memex Information Systems Ltd, a worldwide leader in database and information retrieval technology. This is a unique opportunity to extend the theoretical research investigation of the project into practical developments.
For further details contact
Prof. M.A.Girolami
School of Information and Communication Technologies
Tel : +44 (141) 848 3317
Fax : +44(141) 848 3542
e-mail : [email protected]
http://cis.paisley.ac.uk/giro-ci0/index.html
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