*1 Postdoctoral position in Automatic Discourse Processing* **
Saarland University, Saarbruecken, Germany
The DFG-funded CRC Information Density and Linguistic Encoding (SFB 1102) is pleased to invite applications for a post-doctoral position within the project "Cognitive Modelling of Information Density for Discourse Relations". The start date is somewhat flexible, contract start is possible from early 2015. The contract will be made for 2 years initially; extension after that is possible till end of June 2018.
*Postdoctoral researcher: computational linguist or computer scientist** * The focus of the work programme of the postdoctoral researcher is on automatic discourse relation identification. The goal is to build a model of human discourse relation expectations and inference, based on an incremental discourse parser which can generate surprisal estimates over discourse relations at any point in the text. That is, the project is taking an information-theoretic perspective on human language processing, asking how much information is conveyed by each word in a text with respect to the discourse relations present in a text.
Responsibilities include using machine learning methods for obtaining accurate estimates of the discourse relations which may be expected given contextual cues, and implementing the incremental discourse relation surprisal model. Depending on interests, the postdoctoral researcher on this project may also get involved in experimental studies related to linguistic cues that are important for human discourse relation inference, as well as studies that try to establish the psycholinguistic reality of discourse relations, and estimate cognitively meaningful similarities between the different discourse relations.
Requirements: The candidate should have a doctoral degree (by the starting date of the position) in computational linguistics, computer science or a related discipline, and should have extensive experience in using machine learning for NLP problems. An interest in taking a psycholinguistic perspective is desired. The applicant must have good spoken and written proficiency in English.
For further information on the project, see http://www.sfb1102.uni-saarland.de/b2.php
Saarland University is a leading centre for language research and offers a dynamic and stimulating environment. The new Collaborative Research Center “Information Density and Linguistic Encoding”, which the open positions are part of, supports a broad range of experimental, corpus-based, and cognitive modelling research activities, with over 40 staff. Saarland University also has large established groups working on computational linguistics and psycholinguistics (http://www.coli.uni-saarland.de), as well as theCluster of Excellence "Multi-modal Computing and Interaction" (http://www.mmci.uni-saarland.de/), which was formed in partnership with top-ranked research institutions located on the Saarland University campus: Max Planck Institute for Informatics, Max Planck Institute for Software Systems, the German Research Centre for Artificial Intelligence (DFKI), and the Computer Science Department at Saarland University. Researchers come from all over the world, and the primary research language is English. The Department is committed to excellence in teaching, offering an international MSc program in "Language Science and Technology" (taught in English), and well as a BSc in "Computational Linguistics".
The appointments will be made on the German TV-L E13 scale (100% position for postdoctoral researcher; see also http://www.sfb1102.uni-saarland.de/jobs.php). Support for travel to conferences is also available. Any inquiries concerning the post should be directed to vera at coli.uni-saarland.de. Complete applications including: (1) a statement of research interests motivating why you are applying for this position and how you are qualified for it, (2) a full CV with publications, (3) scans of transcripts and academic degree certificates, and (4) the names and e-mail addresses of three referees, should be e-mailed as a single PDF tovera at coli.uni-saarland.de. Priority will be given to *applications received by**December 24th, 2014.* -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 6899 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20141203/036d6abc/attachment.txt>