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 areas of Interactive Text 
Analysis and Natural Language Processing Infrastructure. The UKP Lab 
is a research group comprising over 30 team members who work on 
various aspects of Natural Language Processing (NLP) with a rapidly 
developing focus on Interactive Machine Learning, and who provide a 
wide range of open source software packages for interactive and 
automatic text analysis to research and industry communities.
We ask for applications from candidates in Computer Science with a 
specialization in  Natural Language Processing or Text Mining, 
preferably with expertise in research and development projects and 
strong communication skills in English and German. The successful 
applicant will work on research and development activities regarding 
text annotation by end-users (researchers, analysts, etc.), 
information recommendation, information retrieval, or semantic text 
analysis, and to create the corresponding applications and software 
components in coordination with the prospective end-users. 
Ideally, the candidates should have demonstrable experience in 
designing and implementing complex (NLP and/or ML) systems (frontend 
and backend), in applying NLP-related Machine Learning-based methods 
(e.g. document classification, sequence classification, clustering, 
etc.), experience with information retrieval systems and databases, 
scalable data processing, and strong programming skills especially in 
Java. Experience with neural network architectures and demonstrable 
engagement in open source projects are strong pluses.
UKP’s wide cooperation network both within its own research community 
and with partners from research and 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 "Data Analytics” and the Research Training Group “Adaptive 
Information Processing of Heterogeneous Content” (AIPHES) funded by 
the DFG emphasize NLP, machine learning, text mining and 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 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 submit your application via the following form by November 24, 
2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The 
position is open until filled.