We are looking for an enthusiastic new colleague, who will contribute to our NWO-funded research project on automatic discussion thread summarisation, and who can also participate in our Communication and Information Sciences teaching program.

Online discussions contain a wealth of information, but are notoriously difficult to read. Finding a piece of information in an online discussion is arguably even harder, certainly when reading it on a mobile device, as is more and more common. The NWO DiscoSumo project studies how online discussions can be automatically summarised, so that they can be read easier, on mobile devices and elsewhere. As a result, the threshold for mobile users to participate in online discussions will be significantly lowered, and the general quality and understanding of these discussions may be expected to increase.

The project is a collaboration between computational linguists and text mining researchers at Tilburg University (Sander Wubben, Emiel Krahmer) and Radboud University (Florian Kunneman, Antal van den Bosch). The data is provided by Sanoma Media BV., one of the largest publishers in The Netherlands, who also participates in the project. More information can be found here: http://discosumo.ruhosting.nl/

To strengthen our team, we are looking for a computational linguist, with experience in text mining, information extraction and/or automatic summarisation. You will help with the development and evaluation of a system that is capable of summarising on line discussion threads. In addition, you will contribute 0.2 fte to the teaching program of Communication and Information Sciences (CIS), teaching a course and supervising students.


Tilburg University


The successful post-doc candidate:
– holds a PhD degree in Computer Science, Artificial Intelligence, Computational Linguistics or another relevant area (or will obtain such a degree before January 2018),
– has substantial expertise in Computational Linguistics / Natural Language Processing, preferably in the areas of automatic summarisation, text mining and/or information extraction,
– has some teaching experience and is willing to contribute to courses/thesis supervision,
– has excellent programming skills,
– has a proven track record of publications in top-conferences or journals,
– has strong English communication and writing skills,
– enjoys working in a team.

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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About Tilburg University

Tilburg University contributes to solving social issues. We achieve this mainly by developing and transferring knowledge and bringing together people from various disciplines and organizations. Therefore we have invited companies, organizations, government, and citizens to work together with us to develop new insights and innovative solutions for society. We create this innovation by conducting research, by learning, and by understanding.

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