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 a term of three years with an extension option)
This position is intended to strengthen the profile of the lab [1] in a
research area within natural language processing (NLP), machine learning
and text mining, such as word-/sentence-/discourse-level semantics,
robust textual inference, and the applications
of the above in higher-level NLP, such as QA, text summarization,
argument mining, etc. The lab closely cooperates with the groups in
machine learning, computer vision, and interactive data analytics of the
Computer Science department and many other research
labs and companies. Besides, the lab conducts research projects in
close cooperation with the users in the humanities and social sciences.
We ask for applications from highly qualified candidates with a
specialization/PhD in NLP/Text Mining, preferably with relevant research
and teaching experience and strong communication skills in English and
German (optional). Individual career development
plans can be worked out. E.g. the successful candidate will contribute
to research activities described above and – based on the previous
experience and qualifications – will be given an opportunity to grow,
i.e. to teach courses, co-supervise PhD students,
and manage research projects. Outstanding candidates (at M.Sc.-level,
without a PhD) are invited to apply and can be considered for a
PhD-level position with an adjusted scope of responsibilities. The
position being filled is based on the university funds.
The research environment is excellent. The Department of Computer
Science of TU Darmstadt is regularly ranked among the top ones among the
German universities. Its unique Research Training Group “Adaptive
Information Processing of Heterogeneous Content” (AIPHES) funded
by the DFG and the BMBF-funded Centre for the Digital Foundation of
Research in the Humanities, Social, and Educational Sciences (CEDIFOR)
emphasize NLP, machine learning and text mining. UKP Lab is a highly
dynamic research group committed to top-level conferences,
technologies of the highest standards, cooperative work style and close
interaction of team members.
Applications should include a detailed CV, a motivation letter, an
outline of previous working or research experience and the names of
three referees. 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 March 28, 2018:
https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The
position is open until filled.
[1] https://www.ukp.tu-darmstadt.de/