The Institute for Natural Language Processing (IMS) at the University of
Stuttgart has an opening for a PhD student to work in the context of a new
project on computational structural analysis of code-switching (i.e.
alternating between languages in spoken or written communication), headed
by Ozlem Cetinoglu .
The position is available in the context of the project SAGT  funded by
the German Research Council (DFG). The successful candidate will develop
tools and methods for core NLP tasks, such as normalisation, POS tagging,
and parsing, for code-switched corpora, with a focus on Turkish-German.
University of Stuttgart
The candidate for the position should have the following qualifications:
– excellent Master?s degree in Computer Science, Computational Linguistics
– advanced knowledge of natural language processing
– strong programming skills in object-oriented and scripting languages
– excellent communication skills and interest in interdisciplinary work
– excellent command of written and oral English
The following skills will be considered as a plus:
– experience with machine learning methods, in particular deep learning
– knowledge of German and/or Turkish
The position will be available for three years, starting in Spring 2017 and
open until filled.
Level of experience (years):
Mid Career (2+ years of experience)
About University of Stuttgart
The University of Stuttgart is a research-intensive university with a predominantly engineering and natural science orientation and its special profile includes linking these subject areas with humanities and social sciences. Its excellent position is reflected in both its projects, sponsored by the excellence initiative of the Federal Government and the States, the excellence cluster „Simulation Technology“ and the graduate school „Advanced Manufacturing Engineering“. Furthermore, the University of Stuttgart is currently supported with four special research areas by Deutsche Forschungsgemeinschaft (DFG) (German Research Foundation), a trans-regional special research field as well as four transfer areas coordinating university. The ranking of Deutsche Forschungsgemeinschaft (German Research Foundation) and Centrum für Hochschulentwicklung CHE (Centre for Higher Education Development) regularly shows the University of Stuttgart to be particularly strong in the field of research. And in terms of third party fun