NCR's Knowledge Lab conducts leading-edge research in the areas of data
mining, consumer behaviour, emerging technologies and electronic commerce.
Research is carried out in close collaboration with a group of banking and
academic research partners. Our research interests are wide-ranging and
interdisciplinary within the financial services industry. In the area of
data mining the Knowledge Lab is investigating the potential of Bayesian
statistics applied to very large data sets.
The Knowledge Lab invites applicants for a Knowledge Lab Research
Fellowship. The fellowship will be awarded to conduct innovative research in
applying Bayesian statistics to banking problems. Candidates should have a
Ph.D. in a numerate discipline and sound knowledge of the theory and
computational practice of Bayesian inference with an emphasis on either
decision theory or time-series analysis. The ability to code in C/C++ would
be desirable. Fellows are expected to carry out research of an exceptionally
high standard and to publish in leading international journals.
The fellowship will be for an initial period of one year with the
possibility of a permanent position. The fellow will be based in the
Knowledge Lab in central London. Salaries will be above the post-doctoral
level (which ranges from £21,293 to £28,919).
The fellowship offers a unique opportunity to both conduct leading-edge
research and to also gain experience of the application of research with a
world-leading technology company. NCR is the world's leading provider of
electronic banking solutions and massively parallel computing for data
warehousing.
Applicants should send a full CV, indicating their research interests, to
Dr. Ramin Nakisa, The Knowledge Lab, NCR Financial Solutions Limited, 206
Marylebone Road, London NW1 6LY. Closing date for applications September
1st, 1999 with a starting date of October 1st, 1999. Informal inquiries may
be made by phone to 0171 725 8144 or email
[log in to unmask] For more information on the Knowledge
Lab, please visit our web site at http://www.knowledgelab.com.
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