[Corpora-List] Postdoc position in discourse processing / machine learning at Saarland University (Germany)

[Vera Demberg-Winterfors]

*1 Postdoctoral position in Automatic Discourse Processing
*

Saarland University, Saarbruecken, Germany

Deadline for Applications:*13 Oct 2014*

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", start date as soon as possible. Applications will 
be considered as soon as they come in, applications before Oct 13th will 
be given full consideration.

*Postdoctoral researcher: computational linguist or computer scientist**
*
The focus of the work programme of the postdoctoral researcher is on 
automatic discourse relation identification, from a cognitive 
perspective. 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. *Priority will be given to applications 
received by October 13, 2014*. Any inquiries concerning the post should 
be directed to the e-mail address below.
Complete applications including: (1) a statement of research interests 
motivating why you are applying for this position,  (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 to:

Dr. Vera Demberg
e-mail: vera at coli.uni-saarland.de
Tel. +49 (0)681 302-70024

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