2 job vacancies
in the categories
Social Pedagogy, Social Work Sociology Research Fellow, Research Assistant, Research Associate Baden-Wurttemberg North Rhine-Westphalia Research Institute
in the categories
Social Pedagogy, Social Work Sociology Research Fellow, Research Assistant, Research Associate Baden-Wurttemberg North Rhine-Westphalia Research Institute
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Research Associate (PostDoc) for the development of trainings of the KODAQS Data Quality Academy
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 15.11.2023 (either in Cologne or in Mannheim), our Department Knowledge Exchange and Outreach (KEO), Team Training, is – within the third-party-funded project Competence Center Data Quality in the Social Sciences (KODAQS) – looking for a
We offer:
Interested?
Please apply via our Online-application portal until October 15, 2023. Our reference number is: KEO-46.
Research Associate (PostDoc) for the development of trainings of the KODAQS Data Quality Academy
(Salary group 13 TV-L, 100% working time, limited until 14.11.2026)
With the BMBF-funded project KODAQS, GESIS, together with the University of Mannheim and LMU Munich, will create a data competence center for the social sciences that will provide researchers with the necessary skills for assessing, processing, and analyzing social science data in a variety of ways. A central component of the project is a new, innovative learning program to be established: the Data Quality Academy. Team Training of the Department Knowledge Exchange and Outreach (KEO) develops and organizes social science methods training to be delivered in Cologne and Mannheim as well as virtually. Over 1,000 participants visit our training events every year.
Your tasks:
- Planning and scientific coordination of the KODAQs Data Quality Academy
- Creation of advanced training courses in the area of Data Quality
- Screening and editing of existing teaching materials
- Research and academic publishing in the field of Data Quality and Survey Methodology (30% of your working time)
- Science communication of the project results
- Doctorate/PhD or well advanced doctoral/PhD thesis (up to six months before submission) in the social sciences
- Very good knowledge of quantitative methods of empirical social research, especially Survey Methodology
- Strong networking experience in the national and international expert community with methodological orientation
- Experience with developing innovative courses, including the use of digital formats, is desired
- High level of English, and good German language proficiency in spoken and written form
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 Mannheim 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. The position is available on a full-time or part-time basis.
You will find further information here.
- Interdisciplinary project team at three locations with direct connection to the University of Mannheim and LMU Munich
- Excellent scientific networking opportunities
- 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
Interested?Please apply via our Online-application portal until October 15, 2023. Our reference number is: KEO-46.