Received: from GLINDA.OZ.CS.CMU.EDU by A.GP.CS.CMU.EDU id aa19572; 17 May 95 18:11:06 EDT Date: Wed, 17 May 95 18:09:45 EDT From: AI.Repository@GLINDA.OZ.CS.CMU.EDU To: ai+ai-postdoc@cs.cmu.edu Subject: Postdoc: NLP/Soar at CMU (Pittsburgh, PA) Sender: ai@A.GP.CS.CMU.EDU From: Jill Fain Subject: Position: Post-doctoral, CMU, NLP/Soar Date: 27 Apr 1995 13:42:30 GMT School of Computer Science, Carnegie Mellon University, Pittsburgh, PA Position: Post-doctoral fellow, effective May 1, 1995. Contact: Dr. Jill Fain Lehman School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213-3891 by email: jill.lehman@cs.cmu.edu Description: Two-year post-doctoral position working on natural language processing within the Soar project. Our main focus will be to extend the current models of comprehension and generation (NL-Soar) within the context of military simulations. In particular, the current system is oriented toward real-time dialog behavior between intelligent agents (e.g. pilot, wing, air controller) participating in simulated engagements in the tactical air domain. Although this work will continue under the current position, we will also be responsible for providing a real-time, incremental language capability between these agents and command level agents also built within the Soar framework. The natural language project consists of 1 faculty member, 3 graduate students and a post-doc. In addition to the applications mentioned above, current research using NL-Soar includes issues in language acquisition, speech recognition, and simultaneous translation. The language project exists within a larger Soar community (about 15 members at CMU, about 100 active researchers throughout the world). A post-doctoral fellow is expected to make significant contributions to the design and implementation of the system, as well as contribute to the intellectual life of the community. Qualifications: Applicants should have a Ph.D. in computer science or computational linguistics. THIS IS A SYSTEM-BUILDING POSTDOC, so a very strong background in building systems is required. Experience in both language generation and comprehension is preferred. Basic knowledge of machine learning techniques helpful. To apply: send a resume and names of three references to physical or e-mail address above. Please have recommendations letters specifically address the system building strengths and weaknesses of the applicant. CMU is an Equal Opportunity, Affirmative Action Employer. ------------------------------------------------------------------------------- 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