The Webis Group at the Bauhaus-Universität Weimar (weimar.webis.de) is
offering a three-year research position in a joint BMBF project with the
Fraunhofer IDMT and Artifact GmbH. Salary is based on the collective
agreement for the public sector in Germany, TV-L 13, 100%. The
engagement can start immediately, but we are also flexible if the start
date of a suitable candidate is later this year. There is the
possibility of further employment in our research group.
The offered position deals with innovations and current developments in
the field of Text Watermarking and Large Language Models and is very
attractive for PhD students or experienced postdocs interested in
innovative and fundamental research in the field of Artificial
Intelligence, Machine Learning, and Natural Language Processing. The
offered position is considered as qualification position, i.e., for
non-postdocs we actively support to do a PhD (Dr. rer. nat.).
Prospective candidates should have finished either a master or a PhD in
computer science, mathematics, statistics or a related field with
excellent or very good grades. Solid knowledge of mathematics and
statistics is required for this position - as well as very good
programming skills.
We are an experienced research group where team spirit and active
collaboration are top priorities. We are looking for open-minded
graduates, PhD students, or postdocs who want to develop both as
researchers and as a person. The working language of our group is
English; fluency in German is not required.
We are interested in increasing the proportion of women in computer
science research and particularly welcome applications from suitably
qualified women. We do not discriminate on the basis of religion, color,
gender, age, or disability and are committed to a family-friendly
recruitment policy.
Interested and qualified candidates are invited to submit their
application by March 2nd to [email protected]. The application
(preferably as a single PDF file) should contain the following
documents: a cover letter describing yourself and your interests, a
detailed CV, high school diploma (Abitur), academic transcripts stating
courses taken and grades earned, and a list of publications (if any).
Benno Stein
Online version: https://webis.de/for-students.html#vacancies
--
Prof. Dr. Benno Stein
Bauhaus-Universität Weimar
Intelligent Information Systems Group
webis.de | weimar.webis.de
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