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.
For the project “Fostering Proactive Replicability in Computational Communication Science via Frontloading Effort and Automating Protocols“ (AutoFrontCCS), starting on 01.03.2025 our Department Computational Social Science (CSS), Team Digital Society Observatory located in Cologne, is looking for a
Research Associate (PhD Candidate)
(Salary group 13 TV-L, working time 75%, limited for three years)
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 AutoFrontCCS project is part of the second funding period of the DFG priority program “META-REP: A meta-scientific program to analyse and optimise replicability in the behavioral, social, and cognitive sciences”. The aim of the project is to develop, implement and evaluate innovative solutions for improving the replicability (and reproducibility) of research in the field of Computational Communication Science (CCS). The project is led by Dr. Johannes Breuer together with Prof. Dr. Mario Haim (LMU Munich).
Your tasks will be:
- Conducting survey and experimental studies as well as qualitative evaluation studies
- Planning and implementing replication studies
- Creating training materials
- Writing and collaborating on scientific publications and presentations
- Working with the project partner, who is primarily responsible for developing and implementing tools
Your profile:
- University degree (M.Sc., Diploma) in communication science or a thematically related field
- Good knowledge of quantitative and qualitative research methods
- Experience with a programming language used in Computational Communication Science (R and/or Python)
- Interest in meta.science & replicability
- Very good command of written and spoken English
- German language skills are desirable but not mandatory
Our Benefits:
- An interdisciplinary and international research environment
- Working with new methods and types of 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
For further information concerning the tasks please contact Dr. Johannes Breuer via phone +49 221 47694-471 or via E-Mail. If you have questions about the application process, please contact Franca Tosetti via E-Mail.
Interested?
Please apply via our Online-application portal until December 6th 2024.
Our reference number is: CSS-103
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 PhD, i.e., with our GESIS Doctoral Program. 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.
