Discover here more job vacancies on academics – the leading job market for science and research. In order to receive information about suitable job vacancies regularly by email, you can register with us free of charge at any time.
Research Associate - Information Retrieval / Data Findability
Published
2022-12-01
Application deadline
2022-12-21
GESIS Leibniz-Institut für Sozialwissenschaften
Köln
GESIS – Leibniz Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.
For the next possible date our department Knowledge Technologies for the Social Sciences (KTS), Team FAIR Data and Human Information Interaction located in Cologne, is looking for a
Research Associate – Information Retrieval / Data Findability
(Salary group 13 TV-L, working time up to 100%, limited to 31.12.2023)
The department Knowledge Technologies for Social Sciences (KTS) conducts research at the intersection of information retrieval, knowledge graphs, human information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data. KTS innovations are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.
In the context of the consortium BERD@NFDI of the National Research Data Infrastructure (NFDI) KTS develops innovative services with the goal to improve the visibility and findability of research data on the web.
Your tasks will be:
Applied research in the areas of data search, web data discovery, web information retrieval or knowledge graphs
Development of a sustainable strategy to improve search and findability of our research data on the web, evaluation with users, impact monitoring
Implementation of data search and findability approaches with appropriate Web technologies (e.g. schema.org, search engine optimization, automated annotation of data with web vocabularies)
Coordination with consortium partners, exchange with relevant communities (eg GO FAIR, RDA, EOSC)
Publication of project results
GESIS offers an exciting work environment for interdisciplinary research at the interface between the social sciences and computer science. 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 development. We offer a wide range of career opportunities 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. The position can also be filled on a part-time basis.
As a family-friendly employer, we are certified by the audit Work&Family since 2010.
Good university degree (master/diploma) in Computer Science, Information Science or related fields
Expertise in metadata and web standards, web search, (web) information retrieval
Interest in search engine optimization and data findability
Experience in software development with Java, Elasticsearch, web technologies, database and search engine technologies
Ability to communicate fluently in English (written and spoken), basic knowledge of the German language desirable
We offer:
A fast growing and international working environment with a lot of creative scientific freedom
Excellent career opportunities in research as well as in software development and data engineering
Access to unique research data, web archives and behavioral data
Support of collaborations with international research labs and experts through an extensive international exchange programme
Flexible working hours and the possibility of up to 60% mobile working within Germany
Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling
Holistic company health management and discounted participation in the university's sports programme
Generous support for your pension provision as a direct insurance policy
Improvement of your skills through further trainings
For further information concerning the tasks please contact Peter Mutschke via phone +49 (0221) 47694-500 or via E-Mail. If you have questions about the application process, please contact Franca Tosetti via
E-Mail.
Interested?
Please apply via our Online-application portal until 21.12.2022.
Our reference number is: KTS-41.
Rate
Rate your search result here!
Thank you for your rating!
Data privacy
Please deactivate your ad-block plugins to edit your permissions regarding cookies and tracking.