Received: from EDRC.CMU.EDU by ux4.sp.cs.cmu.edu id ab19008; 5 Oct 99 10:37 EDT Received: from SMTP1.ANDREW.CMU.EDU by edrc.cmu.edu id aa24737; 5 Oct 99 10:36 EDT Received: from pc34763.psy.cmu.edu (PC34763.PSY.CMU.EDU [128.2.248.76]) by smtp1.andrew.cmu.edu (8.9.3/8.9.3) with ESMTP id KAA15506 for ; Tue, 5 Oct 1999 10:36:16 -0400 (EDT) Date: Tue, 05 Oct 1999 10:36:19 -0400 From: Christian Lebiere To: ai+lisp-jobs@cs.cmu.edu Subject: Job: PGH PA CMU Research Programmer Message-ID: <19397599.3148108579@pc34763.psy.cmu.edu> Originator-Info: login-token=Mulberry:01lNSJw/dAySbfUQ1KlEP5Iys1CbkLRxTCOe04; token_authority=postmaster@andrew.cmu.edu X-Mailer: Mulberry (MacOS) [1.4.1, s/n S-100002] MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Content-Disposition: inline Sender: ai+@ux4.sp.cs.cmu.edu A programmer is needed to assist in the cognitive modeling of human performance in complex real-time dynamic simulation environments. Responsibilities include programming interface components between the simulation and the modeling environment, assisting in the development of cognitive models of human performance, performing data analysis and reporting research results. This position can be either full-time or part-time. BS or equivalent experience in cognitive science or computer science and programming experience in Lisp are required. Experience with production system (especially ACT-R) programming and cognitive modeling research is desirable. For further information on the ACT-R project, see the ACT web site at http://act.psy.cmu.edu Contact: Christian Lebiere Psychology Deparment Carnegie Mellon University Pittsburgh, PA 15213 Tel: +1 (412) 268-2815 Fax: +1 (412) 268-2844 Email: cl+@cmu.edu ------------------------------------------------------------------------------- This message | Submissions ai+lisp-jobs@cs.cmu.edu was sent via | Subscribe/Unsubscribe ai+query@cs.cmu.edu the LISP-JOBS | Available mailing lists include mailing list. | AI-JOBS, LISP-JOBS, PROLOG-JOBS, AI-POSTDOC, AI-PREDOC