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
