Associate Research Scientist (PostDoc- or PhD-level) at the Department of Computer Science in Ubiquitous Knowledge Processing (UKP) Lab

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of
Computer Science, Technische Universität (TU) Darmstadt, Germany has an
opening for an
Associate Research Scientist
(PostDoc- or PhD-level; for an initial term of two years)
to strengthen the group's profile in the area of Computational
Argumentation. The UKP Lab is a research group comprising over 30 team
members who work on various aspects of Natural Language Processing
(NLP), of which Computational Argumentation is one of the rapidly
developing focus areas in collaboration with industrial partners.
We ask for applications from candidates in Computer Science, Information
Systems, Business Information Technology, or Computational Linguistics,
preferably with expertise in research and development projects, and
strong communication skills in English and German. The successful
applicant will work in projects including research activities in the
area of computational argumentation (e.g. automatic evidence detection,
decision support, large-scale web mining on heterogeneous source and
data management), and development activities to create new products or
industrial product prototypes. Prior work in the above areas is a
definite advantage. Ideally, the candidates should have demonstrable
experience in designing and implementing complex (NLP) systems in Java
and experience in information retrieval, large-scale data processing and
machine learning. In particular, experience with deep-learning is a
strong plus. Combining fundamental NLP research on Computational
Argumentation with industrial applications from different application
domains will be highly encouraged.
UKP's wide cooperation network both within its own research community
and with partners from industry provides an excellent environment for
the position to be filled. The Department of Computer Science of TU
Darmstadt is regularly ranked among the top ones in respective rankings
of German universities. Its unique research initiative "Knowledge
Discovery in the Web" and the recently established Research Training
Group "Adaptive Information Processing of Heterogeneous Content"
(AIPHES) funded by the DFG emphasizes NLP, text mining, machine
learning, as well as scalable infrastructures for the assessment and
aggregation of knowledge. UKP Lab is a highly dynamic research group
committed to high-quality research results, technologies of the highest
industrial standards, cooperative work style and close interaction of
team members working on common goals.
Applications should include a detailed CV, a motivation letter and an
outline of previous working or research experience (if available).
Applications from women are particularly encouraged. All other things
being equal, candidates with disabilities will be given preference.
Please send the application to: jobs-AT-ukp.informatik.tu-darmstadt.de
by 15 January 2016. The position is open until filled. Later
applications may be considered if the position is still open.