Associate Research Scientist at TU Darmstadt

The Ubiquitous Knowledge Processing (UKP) Lab 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 (i) Unsupervised/Weakly Supervised NLP and its applications in semantic or discourse analysis, (ii) Computational Argumentation, or (iii) NLP methods to tackle novel problems in Social Sciences and Humanities. The UKP Lab [1] is a research group at the Department of Computer Science at the Technische Universität Darmstadt, Germany. It comprises about 40 team members who work on various aspects of Natural Language Processing (NLP). The department was recently ranked among the top three in Europe in the area of NLP [2].
We ask for applications from candidates in Computer Science, Computational Linguistics, or related fields, preferably with R&D project expertise, and strong communication skills in English and German. The successful applicant will work in projects including R&D activities in the areas listed above. Prior work in the respective fields is a definite advantage. Experience with deep learning is a strong plus. Ideally, the candidates should have demonstrable experience in designing and implementing NLP systems and algorithms in Java or Python, and experience in machine learning, information retrieval, and large-scale data processing. Combining fundamental NLP research in the above listed areas with applications from industry and social sciences and humanities will be highly encouraged. UKP Lab offers a supportive atmosphere and attractive opportunities for personal career development.
UKP’s wide cooperation network, both within its own research community and with partners from industry and the social sciences and humanities, will provide a great environment for the successful applicant. The Department of Computer Science of TU Darmstadt is regularly ranked among the best in German universities. Its unique research initiative "Knowledge Discovery in the Web” and DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, text mining, and machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. The UKP Lab is a dynamic, high-profile research group committed to excellent research results, technologies of the highest industrial standards, a cooperative work style, and close interaction of team members working on joint projects.
Applications should include a 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 applications to jobs-AT-ukp.informatik.tu-darmstadt.de by 31 August 2016. The position will remain open until filled. Interviews may start any time.
[1] https://www.ukp.tu-darmstadt.de/
[2] http://csrankings.org/