First Opening
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
(PhD- or (Senior-)PostDoc level; for an initial term of two years)
The UKP Lab is an internationally recognized research institute with
about 35 team members. We work on various aspects of Natural Language
Processing (NLP), with an emphasis on semantic text analysis and
generation, argument mining, and interactive machine learning. Besides,
we have a strong profile in deep learning for NLP, construction of
large-scale benchmarks, or knowledge graphs. We collaborate with a wide
range of both academic and industrial partners.
We are looking for candidates in Computer Science with a specialization
in Natural Language Processing, preferably with expertise in research
and development projects, prior publication experience, and strong
communication skills. The research topics of the position may include:
NLP in low-research settings, argument mining and retrieval, multimodal
content processing, privacy-enhanced NLP as well as machine learning for
NLP (deep reinforcement learning, neural network architectures). The
successful applicant will work on research and development as part of a
team in one of the areas above. We disseminate the results in top venues
of the field and as free research software and datasets. The lab offers
highly attractive options for personal growth and career development at
all levels of the scientific career. Upon interest, additional
qualifications in teaching and project management can be acquired.
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 focus
"Data Science” 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. In 2018, Darmstadt has achieved the first place in the category
Cities of the Future in a ranking of German cities.
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 apply under
https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by 15.12.2018.
The positions are open until filled. Later applications may be
considered if the position is still open.
Second opening
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
(PhD-level; for an initial term of two years)
to strengthen the group’s profile in the areas of Interactive Text
Analysis and Natural Language Processing Tools. The UKP Lab is an
internationally recognized research institute with about 35 team
members. We work on various aspects of Natural Language Processing
(NLP), with a rapidly developing focus on Interactive Machine Learning.
Besides, we provide a range of high-quality open source software
packages for interactive and automatic text analysis to research and
industry communities and collaborate with both academic and industrial
partners.
We ask for applications from candidates in Computer Science with a
specialization in Semantic Web Technologies and either Information
Retrieval or Natural Language Processing, preferably with expertise in
research and development projects, and strong communication skills in
English and German.
The successful applicant will work on research and development for
interactive text annotation by end-users (researchers, analysts, etc.).
This includes neural network-based methods for knowledge graph
construction and completion, interactive sequence labeling recommender
systems, or semantic information retrieval. We integrate the results in
a real-life collaborative text annotation software for large-scale
interactive corpus analysis.
Ideally, the candidates should have demonstrable experience in designing
and implementing complex (NLP and/or ML) systems (frontend and backend),
in applying NLP-related Machine Learning-based methods (e.g.
learning-to-rank, clustering, etc.), experience with information
retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational
databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and
strong programming skills especially in Java. Experience with neural
network architectures (e.g. knowledge-base embeddings) and demonstrable
engagement in open- source projects are a strong plus.
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 focus
"Data Science” 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. In 2018, Darmstadt has achieved the first place in the category
Cities of the Future in a ranking of German cities.
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 apply under
https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by 15.12.2018.
The positions are open until filled. Later applications may be
considered if the position is still open.