Reminder: the closing date for the Fellowship is in 5 days.
> 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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