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Computational Linguistics and Natural Language Processing● OpenMastersPreview

Research Master in Natural Language Processing

Interdisciplinary master’s programme blending computational linguistics and AI to design responsible, human-centred language technologies.

Best for:Best for linguists, computer scientists, and interdisciplinary scholars passionate about AI ethics, language technology, and human-centred design who seek rigorous research training in NLP.

University of Groningen · Groningen, Netherlands
More professors at University of Groningen
large language modelscomputational semanticsmachine translationethical AI in NLPmultilingual NLPtext generation and summarization
This is a masters position — not a PhD studentship.
Deadline
May 1, 2027
199 days
Funding
—
2 years
Start date
flexible (typically September)
Full-time
Location
Groningen
Netherlands

Overview

This two-year Research Master in Natural Language Processing (NLP) at the University of Groningen bridges linguistics and computer science to explore how humans interact with AI-driven language systems. The programme equips students with advanced technical skills in machine learning, language modelling, and computational semantics, alongside a deep understanding of linguistic theory and ethical implications. Graduates are prepared for cutting-edge research in academia or industry, with a focus on developing transparent, trustworthy, and nuanced NLP applications. The curriculum integrates theoretical foundations with hands-on research, addressing challenges like misinformation, translation errors, and subjective framing in AI systems. It also offers a double-degree option with Information Science, broadening interdisciplinary exposure.

NLP research masterinterdisciplinary linguistics and CSAI ethics in language technologymachine learning for languageresearch-oriented master’sethical AI applicationscomputational pragmaticstext processing algorithms

What you'll do

  • Conduct advanced research in NLP, integrating computational methods with linguistic theory to address real-world challenges like misinformation and translation errors.
  • Develop and evaluate machine learning models for language tasks, including text generation, translation, and semantic analysis.
  • Engage in interdisciplinary projects that critically assess the societal and ethical impacts of NLP technologies.
  • Collaborate with faculty and peers on cutting-edge research, contributing to publications and conference presentations.
  • Apply computational techniques to analyse human language use, framing, and nuance in both experimental and field settings.
  • Participate in a rigorous curriculum blending theoretical linguistics, computer science, and empirical research methods.

Requirements

Degree required: Bachelor’s degree in Linguistics, Computer Science, Cognitive Science, or a related field (e.g. Artificial Intelligence, Information Science).

Degree offered: Master of Arts (Research) in Natural Language Processing

Language: English proficiency (equivalent to IELTS 6.5 or TOEFL 90, or similar).

Instruction: English

Required skills
  • Strong foundation in computational linguistics or NLP principles
  • Proficiency in programming (e.g., Python, R) and machine learning frameworks
  • Familiarity with statistical or computational methods for language analysis
  • Ability to conduct independent research and write academic papers
  • Basic knowledge of linguistic theory (e.g., syntax, semantics, pragmatics)
Nice to have
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)Background in data science or information retrievalFluency in multiple languages for multilingual NLP researchPrior exposure to ethical AI or responsible innovation frameworks
Eligibility
  • No nationality restrictions; open to international applicants.
  • No age restrictions.
  • No prior work experience required.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

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How to apply

Deadline: 2027-05-01

Applicants must submit an online application through the University of Groningen’s portal, including academic transcripts, a motivation letter, a research proposal, and proof of English proficiency. Additional documents may be requested based on the programme’s requirements. The application process is competitive, and selection is based on academic merit and research potential.

Documents required
  • CV/resume
  • Motivation letter
  • Research proposal (1–2 pages)
  • Bachelor’s degree transcripts and diploma
  • Proof of English proficiency (e.g., IELTS/TOEFL scores)
  • Two letters of recommendation (if applicable)
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Contact

Admissions Office· Master’s Admissions Coordinator

https://www.rug.nl/masters/language-and-communication-technologies

Lab
Centre for Language and Communication Technology (CLCT)
University of Groningen
Netherlands
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