Athene Software, Inc. Positions in Machine Learning, Statistics, and Data Mining Athene Software, based in Boulder, Colorado, has immediate openings for professionals in machine learning, statistics, and data mining. We are seeking qualified candidates to develop and enhance models of subscriber behavior for telecommunications companies. Responsibilities include: statistical investigation of large data sets, building predictive and decision-making models using the latest advances in machine learning techniques, developing and tuning data representations, and presentation of results to internal and external customers. Candidates must hold a Ph.D. in Computer Science, Statistics, Electrical Engineering, or related field. The ideal candidate will have experience in pattern recognition or mathematical modeling on real world problems, familiarity with experimental design and data analysis, and some background in relational database systems. Strong communication skills are extremely important. Athene has a long-term committment to cultivating a dynamic, stimulating environment for its Ph.D. research staff. The group is slated to double over the next few years. Athene encourages publication of research results and active participation in the research community. And Athene has established a research advisory board consisting of leaders in machine learning, including Dr. Satinder Singh Baveja (AT&T Labs - Research), Prof. Geoffrey Hinton (University College London), Prof. John Moody (OGI), Prof. Andrew Moore (CMU), and Prof. Michael Mozer (Boulder). Send applications to: Dr. Robert Dodier Athene Software, Inc. 2060 Broadway, Suite 300 Boulder, CO 80302 email: [EMAIL PROTECTED] company URL: www.athenesoft.com Sent via Deja.com http://www.deja.com/ Before you buy. =========================================================================== This list is open to everyone. Occasionally, people lacking respect for other members of the list send messages that are inappropriate or unrelated to the list's discussion topics. Please just delete the offensive email. For information concerning the list, please see the following web page: http://jse.stat.ncsu.edu/ ===========================================================================
