3 May: FYI -- research programming (Darmstadt)
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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(a-t)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!
Johannes Daxenberger
Postdoctoral Researcher | Geschäftsführer CEDIFOR: www.cedifor.de
Ubiquitous Knowledge Processing (UKP) Lab
FB 20 | Computer Science Department
Technische Universität Darmstadt | Hochschulstr. 10, D-64289 Darmstadt, Germany
email: daxenberger(at)ukp.informatik.tu-darmstadt.de
phone: [+49] (0)6151 16-25297, fax: -25295, room: S2|02|B111
GRK 1994: Adaptive Preparation of Information from Heterogeneous
Sources (AIPHES): https://www.aiphes.tu-darmstadt.de
CEDIFOR: Centre for the Digital Foundation of Research in the
Humanities, Social, and Educational Sciences: https://www.cedifor.de
PhD program: Knowledge Discovery in Scientific Literature (KDSL):
https://www.kdsl.tu-darmstadt.de
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