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Sociology Politics, Government Media, Communication, Information Management Team Leader, Group Leader, Laboratory Head, Department Head Research Fellow, Research Assistant, Research Associate North Rhine-Westphalia Research Institute
in the categories
Sociology Politics, Government Media, Communication, Information Management Team Leader, Group Leader, Laboratory Head, Department Head Research Fellow, Research Assistant, Research Associate North Rhine-Westphalia Research Institute
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Senior Researcher & Team Leader "Designed Digital Data"
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 December 01st, 2023, our Department Computational Social Science (CSS), located in Cologne, is looking for a
Your profile:
Interested?
Please apply via our online application portal
until the position is filled, but at least until 24.09.2023. Our reference number is: CSS-93.
Senior Researcher & Team Leader “Designed Digital Data”
(Salary group 15 TV-L, working time 100%, initially for four years with possible tenure)
The interdisciplinary and internationally constituted department Computational Social Science (CSS) is dedicated to the study of sociocultural phenomena and digital society. For this purpose, we are using new approaches to data collection (e.g., web data collection, web tracking, smartphone apps) as well as different types of analysis methods (e.g., machine learning, network analysis, text and data mining), and standards (reproducible analysis methods).
The team “Designed Digital Data” unlocks digital behavioral data by developing open-source research software for smartphone-based data collections and web tracking. The team also conducts data collections for the social science community.
Your tasks will be:
- Leading an interdisciplinary team of postdocs, doctoral students and programmers
- Coordination with other GESIS departments and strategic planning of services for smartphone-based data collections and web tracking
- Research in the areas of digital behavioral data and computational social science
- Presentation of research results and GESIS services to relevant scientific communities
- Conception and writing of proposals for third-party funding
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 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.
We are a family-friendly employer and have been certified by the audit Work&Family since 2010.
You will find further information here.
- Doctoral degree in a social science such as sociology, political science, communication science, psychology or a related discipline
- Experience in developing tools or services in the field of computational social science
- Strong research profile in one or more of the following areas: (i) CSS methods, (ii) collection of digital behavioral data via smartphones, web tracking, or data donations, (iii) linking surveys and digital behavioral data, (iv) longitudinal analysis of digital behavioral data
- Experience in leading interdisciplinary research teams and strong communication skills
- Very good command of written and spoken English; proficiency in German is beneficial
- An international and interdisciplinary working environment that will also support you in developing your research profile
- Flexible working hours and the possibility of up to 60% mobile working within Germany
- Generous support for your pension provision as a direct insurance policy
- 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
- Promotion of your skills through further training measures
Interested?Please apply via our online application portal
until the position is filled, but at least until 24.09.2023. Our reference number is: CSS-93.