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Natural Language Processing● OpenPreview

PhD fellowship in Natural Language Processing

Explore how language models interpret culture and ambiguity using literary texts at the University of Copenhagen.

Best for:Best for NLP researchers with an interest in language model evaluation, culture, and interdisciplinary computational humanities.

University of Copenhagen · Copenhagen, Denmark · R1 · First-stage researcher
More professors at University of Copenhagen
natural-language-processinglanguage-modelscultural-analysismodel-evaluationcomputational-humanities
Deadline
—
Funding
Salaried
3 years
Start date
flexible
Full-time
Location
Copenhagen
Denmark

Overview

The University of Copenhagen invites applications for a fully funded PhD fellowship focusing on Natural Language Processing and culturally grounded interpretation. The project, titled CuRe, investigates how language models reason about culture, ambiguity, and interpretation, employing literary texts as a rigorous testbed. The successful candidate will develop computational methods, construct evaluation resources, and collaborate closely with researchers in NLP and literary studies. The position also includes a planned research stay at McGill University.

Natural Language ProcessingLanguage ModelsCultural InterpretationBenchmarkingComputational Humanities

What you'll do

  • Construct datasets and benchmarks linking literary passages, historical context, and expert interpretations.
  • Analyze language model performance regarding cultural knowledge, failure modes, and overconfidence in uncertain conclusions.
  • Develop computational methods for grounding interpretations in textual evidence and representing uncertainty and ambiguity.
  • Evaluate developed methods through automated experiments and user studies involving literary scholars and readers.
  • Publish research findings in leading venues within natural language processing, artificial intelligence, and computational humanities.

Requirements

Degree required: Master's degree or equivalent in Computer Science, Natural Language Processing, Artificial Intelligence, or a related field

Degree offered: PhD

Language: English; strong professional proficiency

Instruction: English

Required skills
  • Strong background in natural language processing or machine learning
  • Experience with language model evaluation, prompting, or probing techniques
  • Proficiency in programming languages commonly used in NLP, such as Python
  • Demonstrated ability to design empirical experiments and analyse complex datasets
  • Strong written and oral communication skills in English
Nice to have
Experience with retrieval-augmented generation or explicit uncertainty representationFamiliarity with interdisciplinary research involving humanities or social sciencesBackground in data annotation and human-centred evaluation methodologiesExperience in multilingual or cross-cultural computational analysis
Eligibility
  • Must hold a relevant master's degree by the time of appointment

Funding & terms

Type
Salaried
Amount
—
Duration
3 years
Programme
CuRe
University of Copenhagen

How to apply

Deadline: 2026-11-08

Interested applicants must submit their application online through the official University of Copenhagen employment portal by the specified deadline. Ensure all required academic documents and application materials are uploaded according to the portal instructions.

Documents required
  • CV
  • Cover letter
  • BSc + MSc transcripts
  • Research statement
↗Apply on site
Lab
CuRe Project
University of Copenhagen
CuReDenmark
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