26.3197, Jobs: Cognitive Science; Computational Linguistics: Post Doc, Carnegie Mellon University, University of Pittsburgh

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LINGUIST List: Vol-26-3197. Tue Jul 07 2015. ISSN: 1069 - 4875.

Subject: 26.3197, Jobs: Cognitive Science; Computational Linguistics: Post Doc, Carnegie Mellon University, University of Pittsburgh

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Date: Tue, 07 Jul 2015 16:03:03
From: Bruce McLaren [bmclaren at cs.cmu.edu]
Subject: Cognitive Science; Computational Linguistics: Post Doc, Carnegie Mellon University, University of Pittsburgh, Pennsylvania, USA

 University or Organization: Carnegie Mellon University, University of Pittsburgh 
Department: Human-Computer Interaction Institute; Learning Research and Development Center
Job Location: Pennsylvania, USA 
Job Title: Post-doctoral researcher
Job Rank: Post Doc

Specialty Areas: Cognitive Science; Computational Linguistics 


Description:

Carnegie Mellon University and the University of Pittsburgh are looking for a post-doc to work on a U.S. Department of Education IES funded project aimed at adaptive dialogue within the context of an intelligent tutoring system.  The research will investigate how a student model can be used to guide and adapt the tutorial dialogue of a physics tutor. The successful candidate will have a Ph.D and will be interested and experienced in both research and development.  Background in student modeling is essential, with language technology experience and knowledge of physics desirable.  The work will involve identifying possible student modeling approaches from the literature, implementing (or reusing) the modeling approaches to guide an existing dialogue system of an intelligent tutor, designing experiments to evaluate the approaches, conducting experiments at high schools, and contributing to research publications.  The project is a collaboration of neighboring universities in Pittsburgh,
  PA, the University of Pittsburgh and CMU, which are well-known institutions in the Learning Sciences and, more specifically, in intelligent tutoring systems.  The successful candidate will have an opportunity to work with both state-of-the-art student modeling techniques and language technology.

The project PI is Sandra Katz of the University of Pittsburgh, Co-PIs are Pam Jordan and Patricia Albacete of the University of Pittsburgh and Bruce McLaren of Carnegie Mellon University.

Interested parties should contact Bruce McLaren (email below).  Please include your CV and three references (or contact information for the same).


Application Deadline: 02-Oct-2015 (Open until filled)
	  
Email Address for Applications: bmclaren at cs.cmu.edu 
Contact Information:
	Bruce McLaren 
	Email: bmclaren at cs.cmu.edu



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