PhD Fellowship in Natural Language Understanding, University of Copenhagen, Denmark

The University of Copenhagen has four campus areas. As distances in Copenhagen are relatively small, it is easy to get from one campus to the other either by bicycle or public transportation. The campus areas are integrated into the city of Copenhagen and students use the facilities available in the city, adding a lively buzz to the streets and cafés of Copenhagen.

PhD Fellowship in Natural Language Understanding: The University of Copenhagen’s Department of Computer Science invites applications for a PhD fellowship focused on Human-Centric Explainable Natural Language Understanding. The successful candidate will contribute to an interdisciplinary project funded by the Independent Research Foundation Denmark, exploring explanation steering for human-centric retrieval-augmented language models.

PhD Fellowship in Human-Centric Explainable Natural Language Understanding

Designation

PhD Fellow

Research Area

Human-Centric Explainable Natural Language Understanding (NLU)

Location

Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

Eligibility/Qualification

  • MSc degree or equivalent in Computer Science or a related field
  • Strong written and oral English skills
  • Prior research or work experience in Machine Learning (ML) or Natural Language Processing (NLP) is preferred
  • Relevant scientific publications and work experience will be considered

Job Description

  • Define and execute a research project within the scope of the overall project
  • Collaborate with researchers both within the group and with external partners
  • Author scientific papers for high-impact venues
  • Disseminate research findings nationally and internationally
  • Attend PhD courses and conduct a change of scientific environment, preferably abroad
  • Write and defend a PhD thesis based on the research project

How to Apply

Interested candidates should submit their application electronically, including the following materials:

  1. Cover Letter detailing motivation and background for applying
  2. Research Statement outlining desired research focus and methodological approaches
  3. Curriculum Vitae (CV) with educational background, experience, and skills
  4. Original diplomas and transcripts, including certified translations if applicable
  5. Publication list (if available)
  6. Names and contact details of three references

Submit your application by clicking the “APPLY NOW” button on the job portal.

Last Date to Apply

1 February 2026, 23:59 GMT +1

For specific inquiries regarding the fellowship, please contact Prof. Isabelle Augenstein at augenstein@di.ku.dk.

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