30.639, Jobs: Cognitive Science; Computational Linguistics; Language Acquisition; Morphology: Post Doc, University of Maryland

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LINGUIST List: Vol-30-639. Fri Feb 08 2019. ISSN: 1069 - 4875.

Subject: 30.639, Jobs: Cognitive Science; Computational Linguistics; Language Acquisition; Morphology: Post Doc, University of Maryland

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Date: Fri, 08 Feb 2019 13:30:49
From: Naomi Feldman [nhf at umd.edu]
Subject: Cognitive Science; Computational Linguistics; Language Acquisition; Morphology: Post Doc, University of Maryland, USA

 
University or Organization: University of Maryland 
Job Location: Maryland, USA 
Web Address: https://www.umd.edu/
Job Title: Postdoc in Computational Modeling of Language
Job Rank: Post Doc

Specialty Areas: Cognitive Science; Computational Linguistics; Language Acquisition; Morphology; Language Disorders


Description:

We invite applications for a postdoctoral position in computational modeling
of language at the University of Maryland, co-advised by Naomi Feldman and Jan
Edwards. The starting date is flexible, but would ideally be in summer 2019.
The postdoc will be part of an NIH-funded project, in collaboration with Pat
Shafto at Rutgers University-Newark, that uses models of pedagogical reasoning
to predict which language interventions will be most effective for helping
children with Developmental Language Disorder learn grammatical morphemes.
Experience with probabilistic models of language acquisition and interests in
morphological processing and/or language disorders would be helpful, but
anyone who is interested in the position is encouraged to apply.

The University of Maryland is home to an extensive interconnected network of
over 200 language scientists that spans 22 different departments and centers
(http://languagescience.umd.edu). The person hired for this position will have
opportunities to interact regularly with colleagues from linguistics, hearing
and speech, computer science, and other units on campus, and will be a member
of the Computational Linguistics and Information Processing Lab
(http://clip.umiacs.umd.edu). The PIs are committed to supporting the success
of trainees who belong to groups that are underrepresented in academia and in
computing.

To apply, please send a CV, research statement, writing sample, and contact
information for three references to the application email provided below
(letters are not needed as part of the initial application). Review of
applications will begin February 22 and will continue until the position is
filled.



Application Deadline: 22-Feb-2019 (Open until filled)
	  
Email Address for Applications: nhf at umd.edu 
Contact Information:
	Naomi Feldman 
	Email: nhf at umd.edu 


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