Cientific System Developer for Natural Language Processing applications, TU Darmstadt

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of
Computer Science, Technische Universität (TU) Darmstadt, Germany has an
opening for a
Scientific System Developer
(PostDoc- or PhD-level; time-limited project position until April 2020)
to strengthen the group’s profile in the area of Argument Mining,
Machine Learning and Big Data Analysis. The UKP Lab is a research group
comprising over 30 team members who work on various aspects of Natural
Language Processing (NLP), of which Argument Mining is one of the
rapidly developing focus areas in collaboration with industrial partners.
We ask for applications from candidates in Computer Science 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
Argument Mining (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 Python as well as
experience in information retrieval, large-scale data processing and
machine learning. Experience with continuous system integration and
testing and distributed/cluster computing is a strong plus. Combining
fundamental NLP research 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 and 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 31.05.2017. The position is open until filled. Later applications may
be considered if the position is still open.
Questions about the position can be directed to:
daxenberger-AT-ukp.informatik.tu-darmstadt.de; phone: [+49] (0)6151 16-25297
We look forward to receiving your application!