Lund University, The Faculties of Humanities and Theology, Lund University Humanities Lab

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Are you a computational linguist looking for new challenges?

The Humanities Lab is a certified knowledge center within the European Research and Infrastructure Consortium Common Language Resources and Technology Infrastructure (CLARIN ERIC) and a node in the Swedish national consortium for language technology, Nationella Språkbanken and Swe-Clarin. To meet the rapidly growing needs for support, guidance and project work in the domain of language technology, we need to boost our capacity especially in areas with a focus on text extraction, topic modelling, automated information extraction, and machine-based methods such as deep learning and word vectors.



  • Work with method development and projects on text extraction, topic modeling and automated information extraction, in collaboration with researchers from different disciplines; (e.g. language sciences, history, sociology, medicine, economics);
  • Act as a contact person towards the lab's users, help to guide users to other units outside the lab; inform them about updates and other changes in the lab;
  • Educate users through courses and workshops with a focus on both theory and practice;
  • Act proactively towards other units at LU that work with AI and machine learning (e.g. AI@Lund, e-science eSSENCE, the graduate school COMPUTE, and LU's computing center LUNARC);
  • Contribute to the Lab's local and national Swe-Clarin work and internationally in CLARIN ERIC; help coordinate resources.




  • must have a PhD and a research background in a relevant discipline (computational linguistics, etc.);
  • must have good knowledge and experience of topic modeling and contextualized representations of languages (word vectors);
  • must have experience of practical work with NLP applications and machine learning;
  • should have experience with developing NLP applications in suitable programming environments, e.g., Python;
  • should have experience in producing linguistic resources for training and testing of NLP models;
  • should have experience in visualizing and explaining NLP models;
  • must have very good knowledge of Swedish and English.


Please include work samples from your own projects on github or colab.


Experience from a multi-user lab is an advantage. Other welcome features are flexibility and pedagogical ability since the work requires collaboration with users with very different levels of knowledge.

Type of employment Temporary position
Contract type Full time
Number of positions 1
Full-time equivalent 100%
City Lund
County Skåne län
Country Sweden
Reference number PA2021/2389
  • Marianne Gullberg,, +46462220389
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
  • SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
Published 30.Jun.2021
Last application date 31.Aug.2021 11:59 PM CEST

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