Received: from RI.CMU.EDU by A.GP.CS.CMU.EDU id ab10752; 2 Apr 97 8:48:39 EST Received: from igw2.merck.com by RI.CMU.EDU id aa15276; 2 Apr 97 8:48:17 EST Received: from igw2.merck.com; Wed, 2 Apr 1997 08:27:48 -0500 Message-Id: <199704021327.IAA28912@igw2> Received: from mgw.merck.com(54.3.195.7) by ngatekeeper.merck.com via smap (g3.0.1) id sma028724; Wed, 2 Apr 97 08:27:35 -0500 Date: Wed, 02 Apr 1997 08:30:02 -0500 (EST) From: fluder@Merck.Com (Fluder) Subject: Postdoc: Knowledge Acquisition position at Merck To: ai+ai-jobs@cs.cmu.edu, ai+ai-postdoc@cs.cmu.edu MIME-version: 1.0 Content-type: text/plain; charset=US-ASCII Content-transfer-encoding: 7bit Sender: ai@A.GP.CS.CMU.EDU Sr. Research Scientist/Research Fellow - Scientific Information Retrieval and Text Analysis Applications Merck Research Laboratories is seeking a motivated, self-starting individual to be responsible for the development of technology to exploit and analyze information contained in textual data in support of pharmaceutical research. This will involve the use of multiple document management/text analysis systems, with content driven both by the management of text (controlled and uncontrolled, native-language) and by the domain-specific image recognition of chemical structures. This person will be responsible for conducting research and developing innovative applications that retrieve, filter, and analyze information across multiple formats and sources, interpret disparate formats, and create the necessary logical relationships and structure to support meaningful and accurate interpretation and analysis of scientific content. The successful candidate must function effectively as a strong contributor in a multidisciplinary research team, while working with minimal direction. Skills required are knowledge of and experience in text processing, linguistic analysis and AI techniques. Position requires Ph.D. or equivalent work experience . Highly desirable are: academic or work experience in biology or chemistry (through organic chemistry); practical experience in document management systems; C or C++ programming UNIX skills, and web page authoring skills Research and publications in information science are also highly desirable. Interested individuals should send a current CV to Dr. Eugene Fluder at the address given below. CV's may be submitted electronically via e-mail to fluder@merck.com. -- Eugene Fluder | Merck & Co. Inc. | PO Box 2000 RY50-S100 | Rahway NJ 07065-0900 | e-mail: fluder@merck.com | Phone: (908) 594-5074 | Fax: (908) 594-4224 | ------------------------------------------------------------------------------- This message | Submissions ai+ai-postdoc@cs.cmu.edu was sent via | Subscribe/Unsubscribe ai+query@cs.cmu.edu the AI-POSTDOC | Available mailing lists include mailing list. | AI-JOBS, LISP-JOBS, PROLOG-JOBS, AI-POSTDOC, AI-PREDOC