We invite applications for one PhD student position in natural language
generation or summarization. The goal of this position is to develop a
system for text generation that is tailored at the discourse level to
the user (in terms of e.g., verbosity of what is explained, vocabulary
usage, explicitness of coherence relations). To this end, the generation
system will model language understanding in the human user, and tailor
its production accordingly.
The position, to be established in thegroup “Computer Science and
Computational Linguistics” (Prof. Vera Demberg)
<https://www.uni-saarland.de/lehrstuhl/demberg.html>, is part of the
newly funded ERC Starting Grant project”Individualized Interaction in
Project IDDISC aims at more adaptive language interaction at the
discourse level, including personalized summaries or instructions. There
will also be the opportunity to closely collaborate with researchers
working on the DFG-fundedCollaborative Research Center on Information
Density and Linguistic Encoding
Candidates for this position should have a master’s degree in
computational linguistics, computer science or a related discipline.
Experience with machine learning including deep learning is expected.
The research will be conducted in English.
Dates: *application deadline: April 30, 2022*
start date: autumn 2022
The expected duration of the PhD is 3.5 years, the position is paid
according to 75% TV-L E13, see
The job does not come with any teaching obligation. You can however
choose to participate in teaching activities (tutoring or co-teaching).
Applicants are requested to submit their application, including a cover
letter that specifies why you would like to work on this topic and what
qualifies you for it, an academic CV, a list of academic publications,
your MSc thesis (or a current draft), copies of academic degree
certificates and names of two potential references. Please also include
a 2-page research proposal in your application which outlines how you
would approach the topic (choose one topic among multitask learning,
domain adaptation or connective generation for discourse coherence).
Saarland University <https://www.uni-saarland.de/en/home.html> is one of
the leading centres for computational linguistics and computer science
in Europe, and offers a dynamic and stimulating research environment. It
is famous for its interdisciplinary research in language, translation,
computation and cognition. The group is affiliated with both
theDepartment of Computer Science
<https://www.uni-saarland.de/fachrichtung/informatik.html>and with the
Department of Language Science and Technology
The Department of Language Science and Technology organizes about 100
research staff in ten research groups in the fields of computational
linguistics, psycholinguistics, speech processing, and corpus linguistics.
Both departments are part of the Saarland Informatics Campus
<https://saarland-informatics-campus.de/en>, which brings together 800
researchers and 2000 students from 81 countries. We collaborate closely
with the university’s Department of Computer Science, the Max Planck
Institute for Informatics <https://www.mpi-inf.mpg.de/home/>, the Max
Planck Institute for Software Systems <https://www.mpi-sws.org/>, and
the German Research Center for Artificial Intelligence
Our researchers and students come from all over the world, and our
primary working language is English.
Saarland University is an equal opportunity employer. Applications of
women are strongly encouraged; applications of disabled persons will be
given preferential treatment to those of other candidates with equal
Applications should be sent via email directly to Prof. Vera Demberg
(vera(at)coli.uni-saarland.de), quoting opening number 2079.