The Information and Language Processing Systems group is part of the Intelligent Systems Lab Amsterdam at the Informatics Institute of the University of Amsterdam. Our research is aimed at intelligent information access, especially in the face of massive amounts of information. We work on content analysis (information retrieval, machine translation, language technology), the analysis of structural information (social networks, semi-structured data, linked data) and the analysis of user behavior (log analysis, click models, user studies).
We combine fundamental, experimental and applied research, and we do so using a broad range of textual data, data from the web, from enterprises, feed-based, edited, user generated, or obtained from (automatic) transcriptions of audio or video. We are involved with a large number of projects with other groups, both within and outside academia. Our research is funded by NWO, KNAW, the EU and through a range of public-private partnerships.
We're looking for candidates for a fully funded PhD student position in the area of reinforcement learning for information retrieval. The deadline is May 31, 2013. Further details plus details on how to apply are available at http://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/content/...
Over the next few weeks, we will be recruiting for eight positions in the general area of intelligent information access: five fully funded PhD positions, two software engineers, and a postdoc. Details and pointers will be made available here. Stay tuned!
ECIR 2014 will be held in Amsterdam, April 13-17, 2014. The first call for papers is available now at http://ecir2014.org/CfP1.txt
At the recent Dutch-Belgian Information Retrieval workshop (DIR 2013), Bart de Goede, Justing van Wees and Maarten Marx won the best demonstration award for their Political Ngram Viewer.
Ke Tran Manh joined the ILPS group as a PhD student. Ke works on statistical machine translation within the NWO Vidi project SurReal (Surface Realization for Statistical Machine Translation) under the supervision of Christof Monz. His work will focus on machine learning approaches to surface realization modeling for machine translation. Before joining ILPS, Ke completed an Erasmus Mundus MSc in Language and Communication Technologies at Charles University, Prague, Czech Republic, and the University of Groningen.