Open positions on FAIR research data infrastructures

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:
********************
- 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:
**************
- 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
***********************************
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

Received on Wednesday, 9 December 2020 14:30:48 UTC