2026 Research Positions in Natural Language Processing at the University of Gottingen

The Chair of Scientific Information Analytics, headed by Prof. Dr. Bela Gipp (GippLab — https://gipplab.uni-goettingen.de ), conducts research in computer science and data science. A key research focus of the Chair is natural language processing (NLP) based on large language models (LLMs), including domain adaptation, information extraction, and machine reasoning.

Your tasks within the projects will include:

• Conduct cutting-edge research in the field of NLP and LLMs, including domain adaptation for cultural heritage, libraries and historical texts.
• Design, train, and fine-tune Transformer-based language models for specialized domains.
• Develop methods for information extraction, including Named Entity Recognition/Extraction, Relation Extraction, Question Answering and semantic enrichment.
• Working with heterogeneous and unstructured sources, e.g. scientific articles, excavation reports, historical documents, library catalogues and digital editions.
• Integrate LLMs with retrieval systems (RAG) and external tools/APIs to ensure factual basis and up-to-date answers.
• Explore methods for model fitting and machine reasoning (e.g., PPO, GRPO, RLVR) to learn from limited or noisy supervision.
• Work closely with museum professionals, librarians, historians, linguists and technical partners.
• Develop demonstrable proof-of-concepts and integrate them into the infrastructures of the project partners (e.g., virtual museums or library systems).
• Publish research findings in leading journals and conferences (e.g., ACL, EMNLP, NAACL) and present the results to both academic and GLAM stakeholders.
• Participate in (limited) teaching courses and supervise Bachelor's and Master's theses.

Table of Content

• Summary
• Benefits
• Requirements
• Application Deadline
• How To Apply

Summary

• Application DeadlineFebruary 27, 2026
• Study LevelPhD
• SponsorUniversity of Göttingen
• City to studyLower Saxony
• School to studyUniversity of Göttingen
• Eligible CountryAll Countries

Benefits

• A stimulating, interdisciplinary and international research environment at one of Germany's leading universities.
• The opportunity to work on highly effective AI projects in the fields of NLP and LLMs.
• Access to state-of-the-art HPC infrastructure, including GPU clusters with NVIDIA A100 and H100 GPUs.
• Funding and support for participation in international conferences and scientific exchange.
• Up to two full-time positions (100%) for up to three years, paid according to TV-L E13, part-time options possible by agreement.
• Office space and modern technical equipment. A physical office in Göttingen with the option of partial remote work.

Requirements

• Completed Master's degree (or equivalent) in Computer Science, Computational Linguistics, Data Science or a closely related field.
• Proven programming skills, especially in Python (e.g., public repositories, projects), as well as practical experience with deep learning frameworks (e.g., PyTorch) and NLP libraries (e.g., Hugging Face).
• Solid knowledge of NLP downstream tasks such as tokenization, named entity recognition, coreference resolution, lemmatization, word meaning disambiguation, or information retrieval.
• Strong personal interest in working with domain-specific, resource-poor, or library-related data.
• Proven German and English language skills, both spoken and written.
• A communicative, curious and team-oriented personality with a high motivation to learn new concepts and technologies.

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

How To Apply

• Your application, including all relevant documents are to be submitted exclusively via the application portal.

For more information, kindly visit the University of Göttingen webpage.