For the next possible date, GESIS, department Knowledge Technologies for
the Social Sciences (WTS), located in Cologne, is looking for two
Research Associates in the field of FAIR Research Data Infrastructures
(salary group 13 TV-L, working time 80%, limited to 24 months).
The department Knowledge Technologies for Social Sciences (WTS,
https://www.gesis.org/en/institute/departments/knowledge-technologies-for-the-social-sciences/)
develops innovative web portals and platforms for the search and use of
research data. WTS innovations are based on a state-of-the-art software
stack and research-based technologies at the intersection of natural
language processing, knowledge graphs, information retrieval and human
computer interaction.
Your tasks will be:
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- Development of sustainable and scalable concepts to improve the
referenceability and interoperability of research data by persistent
identifiers on the level of specific entities (like survey variables)
and open APIs for standardized data exchange
- Requirement specification, concept development, technical modeling and
implementation along use cases
- Collaboration on the definition of the metadata standards and vocabularies
- Continuous exchange with relevant communities (NFDI, GO FAIR, RDA,
EOSC, CESSDA)
- Publication of project results
- Integration and co-development of innovations from WTS research, e.g.
tools for data linking and data access
Your profile:
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- University degree in Computer Science or related fields
- High analytical and concept development competence and experience with
the publication of project results
- Experience in software modeling and development with Java, Web and XML
technologies, database and search technologies; knowledge of Linux
server administration and virtualization using Docker
- Desirable: Knowledge of metadata and (semantic) web standards, current
developments in the field of FAIR,
- Desirable: experience with technologies such as knowledge graphs,
machine learning or natural language processing
- Ability to communicate fluently in English, German is a plus.
Contacts and application process
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For further information concerning the tasks please contact Dr.
Claus-Peter Klas via phone +49 (0221) 47694 - 520 or via
<Claus-Peter.Klas@gesis.org>. If you have questions about the
application process, please contact Alissa Vogt via <Alissa.Vogt@gesis.org>.
Please apply via our online-application portal
https://www.hidden-professionals.de/HPv3.ApplicationForm/Application/Start/14861/en-US?st=Mroe4eio%2bkijWeRUy5Mm6Q&ut=huCkpaTh5UW0UtFjk5yWBA
until December 14, 2020.
Our reference number is: WTS-77
GESIS offers an exciting work environment for interdisciplinary research
at the interface between social sciences and computer sciences. As an
infrastructure institution, we serve the promotion of the social science
research, and we are in close cooperation with well-known international
research institutes.
GESIS supports your career developments. We offer a wide range of career
possibilities within an attractive working atmosphere with a high level
of self-responsibility and scope for action. You work in an
international environment in the heart of Cologne and you benefit from
our flexible working area.
GESIS guarantees the attention of the disability regulations and
advances the professional gender equality. Further information about
careers at GESIS can be found at
https://www.gesis.org/en/institute/career/good-to-know.
--
Prof. Dr. Stefan Dietze
Scientific Director Knowledge Technologies for the Social Sciences
GESIS - Leibniz Institute for the Social Sciences
Web:
https://www.gesis.org/en/institute/departments/knowledge-technologies-for-the-social-sciences/
Chair of Data & Knowledge Engineering
Heinrich-Heine-University Düsseldorf
Web: https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering
Member at L3S Research Center
Web: http://www.l3s.de
Phone: +49 (0)221-47694-421
Web: http://stefandietze.net
