Received: from CS.CMU.EDU by A.GP.CS.CMU.EDU id aa01392; 18 Jan 96 9:35:55 EST Received: from murphy.utc.com by CS.CMU.EDU id aa27004; 18 Jan 96 9:35:16 EST Received: from cliff by murphy.utc.com (PMDF V4.3-10 #6532) id <01I05G6CDDBK00K581@murphy.utc.com>; Thu, 18 Jan 1996 09:35:06 -0500 (EST) Received: from antares.res.utc.com (antares.res.utc.com [192.249.49.80]) by cliff.res.utc.com (8.6.12/8.6.12) with SMTP id JAA10049; Thu, 18 Jan 1996 09:35:01 -0500 Received: from quasar by antares.res.utc.com (4.1/SMI-4.1) id AA03855; Thu, 18 Jan 96 09:39:43 EST Date: Thu, 18 Jan 1996 09:39:43 -0500 (EST) From: tph@utrc.utc.com (Tom Hamilton) Subject: Job: Data Mining R&D at UTC Research Center (East Hartford, CT, USA) To: kdd@gte.com, ai+ai-jobs@cs.cmu.edu Cc: tph@cliff.res.utc.com Message-id: <9601181439.AA03855@antares.res.utc.com> Content-transfer-encoding: 7BIT Sender: ai@A.GP.CS.CMU.EDU Associate Research Engineer Diagnostic Technology Group United Technologies Research Center DUTIES AND RESPONSIBILITIES: United Technologies Research Center (UTRC) is seeking an individual with hands-on experience with Data Mining techniques for a position in the Diagnostic Technology Group. The successful candidate will participate in a Research and Development program focused on Knowledge Discovery in diagnostic databases. The ability to analyze system requirements, evaluate technology solutions, integrate existing diagnostic databases, and apply data mining techniques to achieve measurable benefits to the UTC operating units is required. QUALIFICATIONS: The successful candidate will have an advanced degree (Ph.D.) in Computer Science with a background in Data Mining / Knowledge Discovery in Databases and a strong database management background. Experience with commercial Data Mining tools and database systems is a plus. PREFERRED QUALIFICATIONS: A broad background in Artificial Intelligence techniques, especially Model-Based Reasoning and Knowledge-Based Systems, is desirable. Knowledge of software engineering methodologies and strong programming skills (Lisp, C++, Java) are a plus. ADDITIONAL INFORMATION: The Diagnostic Technology Group at UTRC is responsible for developing innovative diagnostic capabilities and transferring them to the UTC operating units. The successful candidate will join a team of researchers applying signal processing, pattern recognition, and artificial intelligence techniques to problems in embedded diagnostics, remote monitoring, and maintenance aiding. United Technologies Research Center offers a competitive salary and benefits package designed to attract and retain talented professionals. Send resume to: Professional Staffing Code 95-55, MS129-35, United Technologies Research Center, 411 Silver Lane, East Hartford, CT 06108 or E-mail to WWWEO@utrc.utc.com. An equal opportunity employer. ------------------------------------------------------------------------------- This message | Submissions ai+ai-jobs@cs.cmu.edu was sent via | Subscribe/Unsubscribe ai+query@cs.cmu.edu the AI-JOBS | Available mailing lists include mailing list. | AI-JOBS, LISP-JOBS, PROLOG-JOBS, AI-POSTDOC, AI-PREDOC