Post Doc  position: Natural Language Processing, Saarland University, Germany

=============================================================

(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 to dietrich.klakow at lsv.uni-saarland.de