7.901, Jobs: information filtering - Daimler Benz Research

[The Linguist List]

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LINGUIST List:  Vol-7-901. Mon Jun 17 1996. ISSN: 1068-4875. Lines:  70
 
Subject: 7.901, Jobs: information filtering - Daimler Benz Research
 
Moderators: Anthony Rodrigues Aristar: Texas A&M U. <aristar at tam2000.tamu.edu>
            Helen Dry: Eastern Michigan U. <hdry at emunix.emich.edu> (On Leave)
            T. Daniel Seely: Eastern Michigan U. <dseely at emunix.emich.edu>
 
Associate Editor:  Ljuba Veselinova <lveselin at emunix.emich.edu>
Assistant Editors: Ron Reck <rreck at emunix.emich.edu>
                   Ann Dizdar <dizdar at tam2000.tamu.edu>
                   Annemarie Valdez <avaldez at emunix.emich.edu>
 
Software development: John H. Remmers <remmers at emunix.emich.edu>
 
Editor for this issue: dseely at emunix.emich.edu (T. Daniel Seely)
 
---------------------------------Directory-----------------------------------
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Date:  Mon, 17 Jun 1996 10:02:32 +0200
From:  renz at dbag.ulm.DaimlerBenz.COM (Ingrid Renz)
Subject:  information filtering - Daimler Benz Research, Germany
 
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1)
Date:  Mon, 17 Jun 1996 10:02:32 +0200
From:  renz at dbag.ulm.DaimlerBenz.COM (Ingrid Renz)
Subject:  information filtering - Daimler Benz Research, Germany
 
Daimler Benz Research is currently seeking one research scientist
to join the group "Text Understanding Systems" in Ulm, Germany,
preferably in November 1996. The successful candidate will work on a
project on `information filtering from electronic texts'. The
duties of the position include applied research but also software
development.
 
Our research group has a long time experience in statistical
pattern recognition, knowledge based document analysis, and
information extraction.
 
The aim of information filtering is to select and rank relevant
texts of large text collections according to the requirement of
users and to forward these texts to the users. Personal filter
should be automatic adaptable to the user's needs.
 
Applicants should be familiar with search processes in electronic
nets and  experienced in research in information retrieval, text
categorization, and user modelling. Linguistic competence (German
and English) and the skill to realize new concepts are required.
Knowledge of the architecture of search engines and familiarity with
hyper text representations are highly desirable.
 
The project will start in January 1997 and last 3 years. Further
information can be obtained by email from the address, below.
 
Please send resume and CV by August 1st 1996, to be considered for
this position to
 
Dr. Ingrid Renz
Daimler Benz AG
Research & Technology - F3M/T
P.O. Box 23 60
D-89013 Ulm, Germany
 
Phone 00 49 731 505 2351
Fax   00 49 731 505 4113
e-mail renz at dbag.ulm.DaimlerBenz.COM
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