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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

 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