PostDoc position: AI for Science, Saarland University, Germany

Dietrich Klakow via Corpora <[email protected]> Wed, 17 Jun 2026 13:19:32 +0200
Newsgroups gmane.science.linguistics.corpora
Message-ID <[email protected]>
PostDoc position: AI for Science

Saarland University, Germany

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

(Computer Science, Computational Linguistics, Bioinformatics, Physics, 
Mathematics or similar)

In recent years a new field has emerged: AI for Science. Our group has a 
long and strong tradition in language modelling (several best paper 
awards at major NLP conferences) and is building on top of this. Our 
research is done in very close collaboration with the Helmholtz 
Institute for Pharmaceutical Research as well as the University 
Hospital, giving us access to exciting unique data.

This position is topically open as long as it matches our group and the 
environment at Saarland University well. Fundamental and applied topics 
are equally welcome.

The ideal candidate for the position would have:

1. Excellent knowledge of machine learning and deep learning

2. Excellent programming skills

3. PhD degree in Computer Science, Computational Linguistics, 
Bioinformatics, Physics, Mathematics, or similar

4. Successful experience working both independently and as part of a 
small team

Salary: The PhD position will be full time on the German E13 scale 
(TV-L) which is about 4967€ per month before tax and social security 
contributions. The appointments will be for two years with a possible 
extension.

Saarland University has a very strong computer science department (two 
Max Planck institutes, German Research Center for Artificial 
Intelligence) and is strong in medical/pharmaceutical research (CBI, 
HIPS, UKS). In both areas it is a leading location in Germany and Europe 
and therefore perfect for bridging from AI to science.

How to apply: Please send us a letter of motivation, your CV, your 
transcripts, if available 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 July 1st, 2026.

Contact: Applications and any further inquiries regarding our research 
should be directed to [email protected] 
<mailto:[email protected]>

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