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LINGUIST List 23.4917

Mon Nov 26 2012

Jobs: English; German; Comp Ling; Text/Corpus Ling: Post Doc, Ludwig-Maximilians-Universität München

Editor for this issue: Sarah Fox <sarahlinguistlist.org>

Date: 26-Nov-2012
From: Hinrich Schuetze <jobscis.uni-muenchen.de>
Subject: English; German; Computational Linguistics; Text/Corpus Linguistics: Post Doc, Ludwig-Maximilians-Universität München, Munich, Germany
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University or Organization: Ludwig-Maximilians-Universität München
Job Location: Munich, Germany
Web Address: http://www.cis.uni-muenchen.de
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Text/Corpus Linguistics; Statistical NLP; Information Extraction and Retrieval

Required Language(s): English (eng)
                            German (deu)

Description:

2 PostDocs. Successful applicants will conduct their own research in the general focus area of the institute, linguistically informed statistical NLP methods and their applications. Topics of particular interest include sentiment analysis, information extraction, machine translation and semi-supervised learning for NLP. PostDocs will participate in the supervision of doctoral students and contribute to the institute's research projects.

To apply send your application to the application email address below.

Please include the following:
- a CV
- a statement of research interests (this can be short if you are applying for a junior position)
- an indication of which position(s) you are interested in
- your transcripts if you are applying for a doctoral fellowship
- the names and addresses of two references

LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. We strongly encourage applications from qualified women. Applicants with disabilities will be given preference in case of equally qualified candidates.

Application Deadline:

Email Address for Applications: jobscis.uni-muenchen.de
Contact Information:
Prof. Dr. Hinrich Schuetze
Email: jobscis.uni-muenchen.de
Phone: +49 89 2180 9721
Fax: +49 89 2180 9701
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