Post Doc position: Natural Language Processing
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(Computer Science, Computational Linguistics or similar)
The research group is focusing on getting a deeper understanding of how
modern deep learning methods can be applied to natural languages. Our
recent achievements include a best paper award at COLING 2022 and a best
theme paper award at ACL 2023. We offer a PostDoc position that is
topically open and should have a strong focus on applying machine
learning techniques to natural language data. The research should on the
one hand be connected to ongoing research of PhD students and at the
same time pursue a clear new direction.
The ideal candidate for the position would have:
1. Solid experience in natural language processing
2. Excellent knowledge of machine learning and deep learning
3. Be involved, knowledgeable and generous in scientific discussions
with all group members?
4. Excellent programming skills
5. Doctoral degree in Computer Science, Computational Linguistics or
similar
Salary: The PostDoc position will be 100% of full time on the German
E13 scale (TV-L) which is about 4188€ per month before tax and social
security contributions. The appointments will be for two years with a
possible extension.
About the department: The department of Language Science and Technology
is one of the leading departments in the speech and language area in
Europe. The flagship project at the moment is the CRC on Information
Density and Linguistic Encoding. It also runs a significant number of
European and nationally funded projects. In total, it has seven faculty
and around 50 postdoctoral researchers and PhD students. The department
is part of the Saarland Informatics Campus. With 900 researchers, two
Max Planck institutes and the German Research Center for Artificial
Intelligence, it is one of the leading locations for Informatics in
Germany and Europe.
How to apply: Please send us a letter of motivation, a research plan
(max one page), your CV, your transcripts, a list of publications, and
the names and contact information of at least two references, as a
single PDF or a link to a PDF if the file size is more than 5 MB.
Please apply latest by November 20th, 2023. Earlier applications are
welcome and will be processed as they come in.
Contact: Applications and any further inquiries regarding the project
should be directed todietrich.klakow at lsv.uni-saarland.de
<https://mailman.uib.no/listinfo/corpora>
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