17 November: FYI -- PhD funding, Stuttgart
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Ph.D. position: Multi-Lingual Emotion Detection for Literature Studies
The research group of Theoretical Computational Linguistics [1] at the
Institute for Natural Language Processing at the University of
Stuttgart has an opening for a PhD candidate to work in emotion
recognition in natural language. The candidate will be advised by
Sebastian Padó and Roman Klinger [2].
The successful candidate will develop methods to identify associations
of text phrases with different emotions. This task can be addressed as
a structured machine learning task, taking multi- and cross-lingual
aspects into account. The main application domain is the support of
literature studies by assigning emotions to characters in narrative
texts.
The position is available in the context of CRETA (Center for
Reflected Text Analytics) to be funded by the German Ministry of
Education and Research (BMBF). The goal of the newly established
center is to collectively develop, test and use methods for reflected
text analysis across text-oriented disciplines. It involves
linguistics, literary studies, philosophy, history and social sciences
on the one hand and computer science/visualisation and natural
language processing/computational linguistics on the other. The center
will focus on methodological building blocks that are or can be used
in more than one discipline and that will allow critically reflected
insights into the topics under investigation. It expects participants
on the humanities side to strive towards formalizing research
questions and integrating quantitative analysis; participants on the
computer science side are expected to work towards transparency,
interpretability and justifications for automatic predictions.
The candidate for the position should have the following qualifications:
- Excellent Master’s degree in computer science or computational linguistics
- Advanced knowledge of machine learning methods
- Strong programming skills in object-oriented and scripting languages
- Advanced knowledge of natural language processing
- Excellent communication skills and interest in interdisciplinary work
The following skills will be considered as a plus:
- Knowledge of probabilistic graphical models or artificial neural networks
- Knowledge of distributional semantics
- Experience with digital humanities research questions and contexts
- Knowledge of the German language
The position will be available for three years, starting from January
2016 (subject to final funding confirmation) and open until
filled. All applications received until 30th of November 2015 will
receive full consideration. The salary is according to the German
university payscale (TV-L 13, 66%) and amounts to about 2.300 EUR per
month in the first year (pre-taxes), see [3] for details.
To apply, please send a full CV and letter of motivation in one PDF document to Roman Klinger (klinger@ims.uni-stuttgart.de).
[1] http://www.ims.uni-stuttgart.de/institut/arbeitsgruppen/tcl
[2] http://www.romanklinger.de/
[3] http://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2015
Application Deadline: 30-Nov-2015
Mailing Address for Applications:
Attn: Dr Roman Klinger
Pfaffenwaldring 5b
Stuttgart Baden-Württemberg 70569
Germany
Web Address for Applications: http://www.ims.uni-stuttgart.de/~klingern
Contact Information:
Dr Roman Klinger
roman.klinger@ims.uni-stuttgart.de
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