1 PhD position in neural language generation

VD
Vera Demberg
Fri, Jan 27, 2023 11:04 AM

*1 PhD-Position in Neural Language Generation
*

We invite applications for one PhD student position in data-to-text
natural language generation in a low resource context. The goal of the
project is to develop methods that generalize well to settings where
little training data for the domain of interest is available.

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 E2
project of DFG-funded transregional collaborative research center on
perspicuous computing, CPEC
https://www.perspicuous-computing.science/. There will also be the
opportunity to closely collaborate with researchers working on the
DFG-fundedCollaborative Research Center on Information Density and
Linguistic Encoding http://www.sfb1102.uni-saarland.de/(SFB 1102)
http://www.sfb1102.uni-saarland.de/.

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;
background and previous experience in natural language processing is
also expected. The research will be conducted in English.

Dates: application deadline:     Feb 15, 2023

            start date:                     spring or summer 2023

The expected duration of the PhD is 3.5 years, the position is paid
according to 75% TV-L E13, see
alsohttps://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix=12
https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix=12.

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.htmland with the
Department of Language Science and Technology
https://www.lst.uni-saarland.de/.
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
https://www.dfki.de/en/web/ (DFKI).

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
qualifications.

Applications should be sent via email directly to Prof. Vera Demberg
(vera(at)coli.uni-saarland.de), quoting opening number W2229.

*1 PhD-Position in Neural Language Generation * We invite applications for one PhD student position in data-to-text natural language generation in a low resource context. The goal of the project is to develop methods that generalize well to settings where little training data for the domain of interest is available. 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 E2 project of DFG-funded transregional collaborative research center on perspicuous computing, CPEC <https://www.perspicuous-computing.science/>. There will also be the opportunity to closely collaborate with researchers working on the DFG-fundedCollaborative Research Center on Information Density and Linguistic Encoding <http://www.sfb1102.uni-saarland.de/>(SFB 1102) <http://www.sfb1102.uni-saarland.de/>. 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; background and previous experience in natural language processing is also expected. The research will be conducted in English. Dates: *application deadline:     Feb 15, 2023*             start date:                     spring or summer 2023 The expected duration of the PhD is 3.5 years, the position is paid according to 75% TV-L E13, see alsohttps://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix=12 <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix=12>. 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 <https://www.lst.uni-saarland.de/>. 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 <https://www.dfki.de/en/web/> (DFKI). 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 qualifications. Applications should be sent via email directly to Prof. Vera Demberg (vera(at)coli.uni-saarland.de), quoting opening number W2229.