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PhD Position / Research Associate on Applied Computational Linguistics

NLP PEOPLE

Augsburg

Vor Ort

EUR 40.000 - 60.000

Teilzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A research lab in Germany is offering a part-time faculty position in Computational Linguistics at the University of Augsburg. The role focuses on both teaching and research in areas such as natural language understanding, graph technologies, and NLP for low-resource languages. Candidates with a strong interest in linguistic and technological aspects are encouraged to apply, as the position offers opportunities for collaboration and grant proposals.

Qualifikationen

  • Interest in linguistic and technological aspects of Computational Linguistics or Digital Humanities.
  • Contribute to research and teaching activities.
  • Participation in grant proposals and research collaborations.

Aufgaben

  • Conduct research in Computational Linguistics.
  • Engage in teaching within the University of Augsburg.
  • Collaborate with scientific networks.

Kenntnisse

natural language understanding
graph technologies and web standards in NLP
computational discourse
NLP for low-resource or historical languages
Jobbeschreibung

the Applied Computational Linguistics (ACoLi) lab at the University of Augsburg, Germany, is offering a faculty position (Wissenschaftlicher Mitarbeiter TV-L E13, part-time) for an initial period of 3 years to a candidate with keen interest in both linguistic and technological aspects of Computational Linguistics or Digital Humanities. The successful candidate will contribute to research and teaching activities within the group and in the wider context of the University of Augsburg. They are encouraged to participate in grant proposals, research collaborations and scientific networks of the group.

Company:

University of Augsburg

Qualifications:

We welcome candidates with research interests in one or more of the following areas:

  • natural language understanding
  • graph technologies and web standards in NLP (e.g., in the context of Linguistic Linked Open Data)
  • computational discourse
  • NLP for low-resource or historical languages
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