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2 job vacancies
in the categories
Information Technology Computer Sciences Sociology Researcher North Rhine-Westphalia Research Institute
in the categories
Information Technology Computer Sciences Sociology Researcher North Rhine-Westphalia Research Institute
Researcher with PhD - da|ra and Metadata
Published
Application deadline
Full-time position
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.
Starting at the earliest convenience our Department Data Services for the Social Sciences (DSS), Team Metadata Standards and Interoperability located in Cologne, is looking for a
Interested?
Please apply via our Online-application portal until 23.08.2022. Our reference number is: DSS-11.
Researcher with PhD – da|ra and Metadata
(Salary group 13 TV-L, working time 100 %, initially limited to 4 years with possible tenure)
The department Data Services for the Social Sciences (DSS) offers sustainable infrastructures and services for data management, curation, and long-term preservation.
Its mission is to foster FAIR data, open science, and reproducible research in the quantitative and computational social sciences. This includes archiving services with
different curation levels for individual researchers, projects, and institutions, providing access to archived data, including access to sensitive data, the data registration
agency da|ra, and data management trainings.
Your tasks will be:
- Service coordination of da|ra-DOI registration agency, including management of customer relations and task coordination, internally and with partners
- Planning and design of further development of da|ra
- Coordination of GESIS and DSS metadata workflows, including tools for input, publication, etc.
- Introduction of new DSS-services for users (data API, virtual lab books) in collaboration with other GESIS units
- Conducting own research on structured data, Research Data Management, Open Science, Knowledge Graph, Semantic Web
- Ph.D. in library information science, information science, social science, computer science or equivalent
- Interest and experience with structured data, open science, FAIR data, data documentation, and data linking
- Data science skills
GESIS offers an exciting work environment for interdisciplinary research at the interface between the social sciences and computer science. As an infrastructure institution, we promote social science research and cooperate with renowned international research institutes.
GESIS supports your career development. We offer a wide range of
career opportunities in an attractive and rewarding work environment that allows you to carry out your tasks in a creative and autonomous manner. You will work in an international environment in the heart of Cologne and benefit from our flexible working conditions as well as our extensive internal and external networks.
GESIS is an equal opportunity employer and adheres to disability regulations.
We are a family-friendly employer and have been certified by the audit Work&Family since 2010.
You will find further information here.
- Proficiency in English with excellent skills, both written and spoken and willingness to learn German
- Ability to handle metadata when linking different types of data (e.g., surveys, digital behavioral data) preferably in social sciences
- An international and interdisciplinary working environment with strong ties to international partners and experts in related fields and support for pursuing your own research
- Flexible working hours and possibility of 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 program
- Generous support for your pension provision as a direct insurance policy
- Promotion of your skills through further training measures
Interested?
Please apply via our Online-application portal until 23.08.2022. Our reference number is: DSS-11.