PhD Candidate: Dutch Morphology & Constructicon

Karlstad University

Leiden

On-site

EUR 36,000 - 45,000

Full time

4 days ago
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Job summary

Leiden University invites applications for a fully funded PhD position in Dutch morphology and constructicography within the NWO project Morphicon. The PhD candidate will join a small team and develop a morphological constructicon for Dutch, exploring grammatical regularity vs lexical idiosyncrasy.

The successful candidate will contribute to transforming lexicographic and grammatical resources into a digital network and work with tools to aid classification and network building.

Qualifications

  • Master’s degree in linguistics completed before start date.
  • Native or near-native Dutch and good command of academic English.
  • Excellent research and analytical skills.
  • Interest in grammar from descriptive/theoretical perspective.

Responsibilities

  • Extract word-formation patterns and encode them in systematic schemas.
  • Match complex words to schemas and annotate for network building.
  • Test and evaluate digital tools to aid classification and annotation.
  • Investigate Dutch morphological constructions quantitatively and qualitatively.
  • Present research results at workshops and conferences.
  • Publish results and write PhD thesis within appointment period.
  • Assist in teaching activities at bachelor level.
  • Participate in project knowledge dissemination activities.

Skills

Dutch proficiency
Academic English
Excellent research skills
Interest in grammar
Computational linguistics

Education

Master’s degree in linguistics

Tools

Computational linguistics tools

Job description

Leiden University invites applications for a fully funded PhD position in Dutch morphology and constructicography within the NWO project Morphicon. The PhD candidate will join a small team and develop a morphological constructicon for Dutch, exploring grammatical regularity vs lexical idiosyncrasy.

The successful candidate will contribute to transforming lexicographic and grammatical resources into a digital network and work with tools to aid classification and network building.

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