LINGUIST List 11.1641

Wed Jul 26 2000

Jobs: Comp Ling/NLP, Universite du Quebec a Montreal

Editor for this issue: Jody Huellmantel <jodylinguistlist.org>


Directory

  1. Anna-Maria Di Sciullo, Comp Ling/syntactic parsing & NLP/Information Extraction

Message 1: Comp Ling/syntactic parsing & NLP/Information Extraction

Date: Thu, 20 Jul 2000 15:36:03 -0400
From: Anna-Maria Di Sciullo <di_sciullo.anne-marieuqam.ca>
Subject: Comp Ling/syntactic parsing & NLP/Information Extraction

	Contact person: Anna Maria Di Sciullo
	e-mail: di_sciullo.anne-marieuqam.ca
	University: Universite du Quebec a Montreal
	Departement: Linguistics
	Province: Quebec
	Country: Canada
	Job speciality: computational linguistics
			 syntactic parsing
	Rank: postdoc
	Final date: September 1rst
	for application

	Address for application:
	Universite du Quebec a Montreal
	Departement de linguistique
	C.P. 8888, Succursale Centre Ville
	Montreal, Pc, H3C 3 P8
	Canada


	2e job advertisement
	Contact person: Anna Maria Di Sciullo
	e-mail: di_sciullo.anne-marieuqam.ca
	University: Universite du Quebec a Montreal
	Departement: Linguistics
	Province: Quebec
	Country: Canada
	Job speciality: Information Extraction
			 Natural Language Processing based
			 Information Extraction
	Rank: postdoc
	Final date: September 1rst
	for application

	Address for application:
	Universite du Quebec a Montreal
	Departement de linguistique
	C.P. 8888, Succursale Centre Ville
	Montreal, Pc, H3C 3 P8
	Canada


Postdoc Position 1


Qualified individuals are invited to apply for a postdoctoral
fellowship in Computational Linguistics. The fellowship is supported
by the Social Sciences and Humanities Research Council of Canada and
provides an annual stipend of $28,000 per year, renewable. A qualified
candidate should hold a Ph.D degree in an area of Computational
Linguistics and have experience in syntactic parsing, preferably
principle-based parsing. Technical experiences with C/C++ and
Unix/Linux on Sun/Window platforms are preferable. The successful
candidate will join the UQAM research team in collaboration with
Princeton and MIT researchers to develop a model of parsing based on
the recovery of natural language asymmetries. See the UQAM homepage
for a summery of the project: http://www.asymmetryproject.uqam.ca


The fellowship is expected to start between now and September
1. Consideration of the applications will begin immediately until the
position is filled. Applicants should send a curriculum vitae, a cover
letter, and two letters of recommendations to Anna Maria Di Sciullo,
Departement de Linguistique, Universite du Quebec a Montreal, Case
Postale 8888, Succursale Centre Ville, Montreal, PC. H3C 3P8, Canada.,
or via e-mail to di_sciullo.anne-marieuqam.ca.


Postdoc Position 2


Qualified individuals are invites to apply for a postdoctoral
fellowship in Natural Language Processing and Information
Extraction/Information Retrieval. The fellowship is supported by the
Social Sciences and Humanities Research Council of Canada and provides
an annual stipend of $28,000 per year, renewable. A qualified
candidate should hold a Ph.D degree in an area of Natural Language
Processing based Information Extraction/Information Retrieval
Technical experiences with indexing, morphological and syntactic
tagging are preferable. The successful candidate will join the UQAM
research team in collaboration with Princeton and MIT researchers to
develop a model of parsing based on the recovery of natural language
asymmetries. See the UQAM homepage for a summery of the project:
http://www.asymmetryproject.uqam.ca


The fellowship is expected to start between now and September
1. Consideration of the applications will begin immediately until the
position is filled. Applicants should send a curriculum vitae, a cover
letter, and two letters of recommendations to Anna Maria Di Sciullo,
Departement de Linguistique, Universite du Quebec a Montreal, Case
Postale 8888, Succursale Centre Ville, Montreal, PC. H3C 3P8, Canada.,
or via e-mail to di_sciullo.anne-marieuqam.ca.




Anna Maria Di Sciullo
Director
Asymmetry Project
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