Two PostDoc positions in Natural Language Processing (Open Position and for Authorship Analysis)

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Steffen Eger

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Feb 11, 2026, 11:45:55 AM (2 days ago) Feb 11
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The Natural Language Learning & Generation (NLLG) group https://nl2g.github.io/ at University of Technology Nuremberg (UTN) is looking for two postdocs positions (E13 100%), to be filled as soon as possible

  • one open position in our fields of expertise (see below)

  • one position for LLM-based authorship verification/attribution in German data (speaking German is beneficial)


The duration of the positions is 12 to 15 months.


The tasks include:

  • scientific research in at least one of our focus areas, see below

  • Writing and publishing research results in relevant conferences and journals, as well as scientific networking and outreach through their presentation at conferences

  • Participation in third-party funding applications

  • Supervision of doctoral students and student assistants

  • Design and teaching of courses on a small scale


Application materials include:

  • tabular CV

  • letter of motivation (restricted to 1 page)

  • 1-page description of your desired contribution to the group as a postdoc

  • links to at least 3 top-quality conference or journal publications (ACL, EMNLP, NAACL, EACL, COLING, TACL, ICLR, ICCV, NeurIPS, AAAI, CVPR, or an equivalent) and a description of your role in each publication.


Application deadline:

  • February 20, 2026


For questions please contact steffe...@utn.de


Please apply online via https://www.utn.de/en/career/job-openings/ 


Focus areas: The NLLG group is among the leading NLP groups in Europe. It has a broad focus on NLP related topics, including: evaluation of text generation (e.g. machine translation, multimodal tasks, etc.), NLP and digital humanities (e.g. automatic poetry generation, literary translation, language change, argumentation, authorship analysis), NLP and social sciences (e.g. LLM-based analysis of social solidarity over time, biases, fairness) and AI4Science topics (e.g. automatic generation of scientific figures).



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