Received: from GLINDA.OZ.CS.CMU.EDU by A.GP.CS.CMU.EDU id aa01128; 7 Aug 95 16:14:23 EDT Date: Mon, 7 Aug 95 16:12:17 EDT From: AI.Repository@GLINDA.OZ.CS.CMU.EDU To: ai+ai-jobs@cs.cmu.edu Subject: Postdoc: NLP & SOAR at Carnegie Mellon University (Pittsburgh, PA) Cc: ai+ai-postdoc@CS.CMU.EDU Sender: ai@A.GP.CS.CMU.EDU From: jef+@ANKYLO.SOAR.CS.CMU.EDU (Jill Fain) Subject: NL job available Date: 3 Aug 1995 15:19:21 GMT Organization: Carnegie Mellon University School of Computer Science, Carnegie Mellon University, Pittsburgh, PA Position: Research Assistant or 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 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 person filling this position 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 B.S., M.S. or 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. APPLICANT MUST BE ABLE TO START WORK BY SEPTEMBER 1. 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