The Ubiquitous Knowledge Processing (UKP) Lab at the Department of
Computer Science, Technische Universität (TU) Darmstadt, Germany has
two openings 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 Machine
Learning (IML) or Natural Language Processing for Language Learning.
The UKP Lab is a research group comprising over 30 team members who
work on various aspects of Natural Language Processing (NLP), of
which Interactive Machine Learning and Natural Language Processing
for Language Learning are the focus areas researched in collaboration
with partners in research and industry.
We ask for applications from candidates in Computer Science with a
specialization in Machine Learning or Natural Language Processing,
preferably with expertise in research and development projects, and
strong communication skills in English and German.
- The successful applicant in the area of Interactive Machine
Learning will work on research activities regarding its application
to end-user content annotation, information structuring and
recommendation, or semantic text analysis, and development activities
to create functional and attractive user-oriented product prototypes.
- The successful applicant in the area of Natural Language
Processing for Language Learning will work on research activities in
automatically assessing language competencies and readability as well
as on generating exercise material for language learners in
intelligent real-time learning systems.
Prior work in the above areas is a definite advantage. Ideally, the
candidates should have demonstrable experience in designing and
implementing complex (NLP and/or ML) systems, experience in
large-scale data analysis, large-scale knowledge bases, and strong
programming skills incl. Java. Experience with neural network
architectures and a sense for user experience design are a strong
plus. Combining fundamental NLP research on Interactive Machine
Learning or Natural Language Processing with practical applications
in different domains including education will be highly encouraged.
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 "Knowledge Discovery in the Web" and the Research Training
Group "Adaptive Information Processing of Heterogeneous Content"
(AIPHES) funded by the DFG emphasize NLP, machine learning, text
mining, 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 applications to:
jobs(a-t)ukp.informatik.tu-darmstadt.de by 08.03.2017. The positions
are open until filled. Later applications may be considered if the
position is still open.