Senior Researcher & Team Leader in Computational Social Science

European Commission; Deutschland; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading research institute in Germany is seeking a Senior Researcher & Team Leader in Computational Social Science to lead a team focused on digital behavioral data. The role includes research, team management, and developing funding proposals. Candidates should have a PhD and strong research background. Flexible working hours and family-friendly policies are offered.

Leistungen

Flexible working hours

Mobile working options

Childcare subsidies

Holistic health management

Discounted sports programme

Pension support

Further training opportunities

Qualifikationen

• Peer-reviewed publications in computational social science.
• Experience in managing research projects and teams.

Aufgaben

• Leading a team of postdocs and doctoral students.
• Research in digital behavioral data and computational social science.
• Writing third-party funding proposals.

Kenntnisse

Leadership

Research

Data Quality Assessment

English

Ausbildung

PhD in Computational Social Science

Jobbeschreibung

Organisation/Company GESIS - Leibniz Institut für Sozialwissenschaften Department Cologne/Mannheim Research Field Sociology Researcher Profile Leading Researcher (R4) Positions Other Positions Country Germany Application Deadline 26 Jun 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 39,5 Offer Starting Date 1 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CSS-110 Is the Job related to staff position within a Research Infrastructure? No

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 September 1, 2025 our Department Computational Social Science (CSS), Team Digital Society Observatory located in Cologne, is looking for a

Senior Researcher & Team Leader in Computational Social Science

(Salary group 15 TV-L, working time 100%, initially for four years with possible tenure)

The department Computational Social Science (CSS) collects digital behavioral data and provides computer-based methods for collecting and analyzing such data for social science research. It also supports scientists with the integration of digital behavioral data into their research designs. The department's research focuses on the quality of digital behavioral data, the development and validation of computational social science methods and the transformation of digital societies.

The team Digital Society Observatory observes and analyses society through the “burning glass” of digital behavioral data, focusing on data from online platforms and research on data quality. We are looking for a qualified professional with experience in leading teams and actively promoting young talent.

Your tasks will be:

• Leading a team of postdocs and doctoral students
• Coordination and further development of service tasks in the team such as collecting data from online platforms, evaluating the quality of digital behavioral data and advising on the usage of digital behavioral data
• Research in the areas of digital behavioral data and computational social science
• Presentation of research results and GESIS services in relevant scientific communities
• Conceptualization and writing of third-party funding proposals

Your profile:

• Peer-reviewed, internationally visible publications in the field of computational social science
• Expertise in the collection, use and quality assessment of digital behavioral data
• Experience in the management of research projects and employee management
• Very good command of written and spoken English;German language skills are not expected at first but will be required by the start of the tenure process
• 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
• 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 and, if required, support in acquiring German language skills

Contact

For further information concerning the tasks please contact Prof. Dr. Claudia Wagner via E-Mail .If you have questions about the application process, pleasecontact Franca Tosettivia E-Mail .

Interested?

Please apply via our Online-application portal until 26.06.2025.

Our reference number is: CSS-110

About us

GESIS is one of the world's leading social science infrastructure facilities, supporting researchers at all levels of their research projects with expertise and infrastructure services. We help ensure that socially relevant questions can be answered based on reliable data, the latest scientific methods and research information. We help with study planning and data collection, provide high-quality research data, support with data preparation and analysis, and finally with data archiving.

GESIS helps you gain further qualifications. We offer our employees a wide range of career opportunities in an appealing work environment with a high degree of personal responsibility and creative freedom. With us, you will work in an international environment in the heart of Mannheim and Cologne and benefit from a flexible work environment as well as internal and external networks.

GESIS ensures compliance with the guidelines for the severely disabled and promotes professional equality between women and men. Full-time positions can also be filled on a part-time basis.

As a family-friendly employer, we have been certified by the “ berufundfamilie ” audit since 2010.

Further information on working at GESIS can be found here.