LINGUIST List 28.4921

Wed Nov 22 2017

Support: German; Computational Linguistics: PhD, University of Stuttgart

Editor for this issue: Clare Harshey <>

Date: 22-Nov-2017
From: Sebastian Pado <>
Subject: German; Computational Linguistics: PhD, University of Stuttgart, Germany
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Institution/Organization: University of Stuttgart
Department: Institute for Natural Language Processing (IMS)
Web Address:

Level: PhD

Duties: Research

Specialty Areas: Computational Linguistics

Required Language(s): German (deu)


The Institute for Natural Language Processing (IMS) at University of
Stuttgart) has an opening for one PhD 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 should have:
- Master’s degree in computer science, computational linguistics or similar
- advanced knowledge of machine learning methods, in particular deep learning
- interest in interdisciplinary work
- ideally, prior experience in visualization

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, 65%). 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:

Contact Information:
Sebastian Pado

Page Updated: 22-Nov-2017