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Postdoctoral position in Computational Linguistics, Duesseldorf (Germany), Deadline: 28 Feb 2021
Heinrich Heine University of Duesseldorf, Germany
Department of Language and Information (Institut für Sprache und Information)
Web Address: http://www.isi.hhu.de/
Postdoc Fellow in Computational Linguistics
The Department of Language and Information (Institut für Sprache und
Information) at the Heinrich-Heine-University Duesseldorf (Germany)
invites applications for a 1-year full-time postdoc research position in
Computational Linguistics (German salary scale 100% 13 TV-L), to begin
April 1, 2021, a later starting date is negotiable. The initial
appointment is for 1 year, with a possibility of an extension.
The successful candidate is expected to conduct research in the domain of
computational linguistics, and specifically in the areas that concern
natural language meaning, participate in the preparation of grant
proposals, as well as to advise students in the area computational
linguistics and related fields.
Requirements:
-- Completed Ph.D. degree (or an equivalent degree) in Computational
Linguistics by the time of application.
-- Desirable expertise should include one or more of the following:
recurrent neural networks for language models, distributional semantic
modeling in vector spaces, probabilistic approaches to NLP, experience in
experimental methodology.
The application should be submitted electronically in one .pdf file and
include
- a short cover letter
- a full CV including a complete list of publications
- a brief statement of research experience and plans (1-2 pages)
- links to papers, writing samples, or electronic versions thereof
- the names and email addresses of at least two potential referees
Applications should be sent to filip@hhu.de, the subject line "Postdoc
Computational Linguistics".
Application Deadline: February 28, 2021
Contact Information: Prof. Hana Filip Email:
filip@hhu.de<mailto:filip@hhu.de>
The Heinrich-Heine-University Duesseldorf is an equal opportunity employer
and all qualified applicants will receive consideration for employment
without regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability status, or any other characteristic
protected by law.
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