12.2987, Jobs: Computational Ling: Professor, Germany

[LINGUIST List]

LINGUIST List:  Vol-12-2987. Thu Nov 29 2001. ISSN: 1068-4875.

Subject: 12.2987, Jobs: Computational Ling: Professor, Germany

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1)
Date:  29 Nov 2001 15:45:55 -0000
From:  Prof.Dr.Achim Stein <achim.stein at po.uni-stuttgart.de>
Subject:  Computational Ling: Professor at Univ of Stuttgart, Germany

-------------------------------- Message 1 -------------------------------

Date:  29 Nov 2001 15:45:55 -0000
From:  Prof.Dr.Achim Stein <achim.stein at po.uni-stuttgart.de>
Subject:  Computational Ling: Professor at Univ of Stuttgart, Germany


Rank of Job: Professor (chair)
Areas Required: Computational Linguistics
Other Desired Areas: Mathematical and algorithmic properties of
linguistic processing
University or Organization: University of Stuttgart
Department: Department of Linguistics
State or Province: Baden-Wuerttemberg
Country: Germany
Final Date of Application: six weeks after posting
Contact: Prof. Dr. Achim Stein achim.stein at po.uni-stuttgart.de

Address for Applications:
Keplerstrasse 17
Stuttgart
 70174
Germany

The University of Stuttgart is seeking to fill the Chair for
Theoretical Computational Linguistics in its Institute for
Computational Linguistics (IMS).  The chair was previously held by
Prof. Mats Rooth.

Principal responsibilities: Teaching and research in Theoretical
Computational Linguistics.  Central areas of interest: Mathematical
and algorithmic properties of linguistic formalisms used in syntax,
semantics, phonology and morphology.

Desirable: Expertise in questions concerning the combination of
symbolic and stochastic methods is considered desirable.

Applications must be received no later than six weeks after the
appearance of this notice and should be mailed to the dean ("Dekan")
of the Philosophical Faculty (Fakultaet 11) of the University of
Stuttgart, Keplerstrasse 17, 70174 Stuttgart, Germany.  Applications
should include up to three of the applicant's publications.

The university of Stuttgart has a commitment to increase the
proportion of women among its academic staff.

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