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CDE Almería – Centro de Documentación Europea – Universidad de Almería

CDE Almería - Centro de Documentación Europea - Universidad de Almería

Centro de Documentación Europea de la Universidad de Almería

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PhD Candidate for Structured Data and Metadata in Germany

Inicio » EU Calls and Awards » Euraxess » Social and Legal Sciences » PhD Candidate for Structured Data and Metadata in Germany

16 de November de 2022

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Offer Description

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 on the next possible date our Department Data Services for the Social Sciences (DSS), Team Metadata Standards and Interoperability located in Cologne, is looking for a

PhD Candidate for Structured Data and Metadata

(Salary group 13 TV-L, working time in 75%, temporary for 4 years)

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:

  • Develop improved metadata structures, documentation tools, and workflow within the department
  • Check data and metadata quality of GESIS digital behavioral data for archiving, e.g. Access Panel
  • Collaborate with international standardization initiatives, e.g. DDI Alliance
  • Work on structured data produced by GESIS, including development of a knowledge graph
  • Research in the fields of data science, structured data, research data management, open science, or knowledge graphs, including publications and workshops in this area

Your profile:

  • Good university degree (Master or equivalent) in Social Science, Political Science, Computer Science, Data Science or comparable fields
  • Experience with the management and processing of research data, preferably in the areas of data and metadata standards and/or knowledge graphs
  • Experience in working with digital behavioral data, web data or social media data
  • Good oral and written communication skills in English, knowledge of German desirable

Our Benefits:

  • Collaboration in a fast growing new research area with digital behavioral data at GESIS
  • An international working environment with a lot of creative scientific freedom and access to unique research data
  • 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
  • Promotion of your skills through further training measures

Organisation

GESIS – Leibniz-Institut für Sozialwissenschaften

Location

Germany › 50667/Köln

Research field

Sociology

Deadline

06th December 2022

More information

Euraxess – Call

Publicaciones relacionadas:

Social Scientist – Market and Value Chain Development in Bangladesh Postdoc Position in Sociology in Laos Seminar 'Research in Europe'PhD International Relations at the University of Nebrija Research Associate in Law in Luxembourg Tenure Track Researcher/Senior Researcher in land-use greenhouse gas emission research in Denmark

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Publicaciones relacionadas

Social Scientist – Market and Value Chain Development in Bangladesh Postdoc Position in Sociology in Laos Seminar 'Research in Europe'PhD International Relations at the University of Nebrija Research Associate in Law in Luxembourg Tenure Track Researcher/Senior Researcher in land-use greenhouse gas emission research in Denmark

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