28.4920, Jobs: German; Computational Linguistics: Post Doc, Stuttgart University, Germany

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Wed Nov 22 21:22:01 UTC 2017


LINGUIST List: Vol-28-4920. Wed Nov 22 2017. ISSN: 1069 - 4875.

Subject: 28.4920, Jobs: German; Computational Linguistics: Post Doc, Stuttgart University, Germany

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Date: Wed, 22 Nov 2017 16:21:51
From: Sebastian Pado [pado at ims.uni-stuttgart.de]
Subject: German; Computational Linguistics: Post Doc, Stuttgart University, Germany

 
University or Organization: Stuttgart University 
Department: Natural Language Processing
Job Location: Stuttgart, Germany 
Web Address: http://www.ims.uni-stuttgart.de
Job Title: Post Doc
Job Rank: Post Doc

Specialty Areas: Computational Linguistics 

Required Language(s): German (deu)

Description:

The Institute for Natural Language Processing (IMS) at University of
Stuttgart) has an opening for one post-doc researcher to work in the context
of a new project on modelling argumentation dynamics in political discourse,
headed by Jonas Kuhn and Sebastian Padó, in close collaboration with political
scientist Sebastian Haunss from the University of Bremen.

The successful candidate will develop methods to automatically identify
argumentation structures in news coverage, aggregate these structures
according to various criteria (thematic coherence, actors, temporal
development), and make them available, through suitable diagnostics such as
visualization, to analysts from the political science domain.

Candidate must have substantial knowledge of natural language processing,
excellent communication skills, strong programming and software engineering
skills, and at least basic knowledge of the German language. Prior experience
with the field of argumentation analysis will be considered a plus.

The candidate for the Postdoc position should have:
- PhD in computer science, computational linguistics or similar
- proven track record in interdisciplinary work in digital humanities or
computational social science, including corpus annotation methodology
- substantial experience in the application, adaptation and visualization of
NLP models
- ideally, prior experience with machine learning

The position will be available for three years, starting in early 2018. All
applications received until December 15, 2017 will receive full consideration.
The salary is according to the German university payscale (TV-L 13 100%). To
apply, please send a full CV and letter of motivation in one PDF document to
Sebastian Pado at the application email address below.



Application Deadline: 15-Dec-2017 
	  
Email Address for Applications: pado at ims.uni-stuttgart.de 
Contact Information:
	Sebastian Pado 
	Email: pado at ims.uni-stuttgart.de 


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