Wissenschaftliche/r Mitarbeiter/in (PostDoc) (m/w/d)

GESIS - Leibniz-Institut für Sozialwissenschaften (GESIS), Mannheim

GESIS Leibniz Institute for the Social Sciences is an internationally active research institute funded by federal and state governments and is member of the Leibniz Association.

Starting on January 1, 2022, our Department Knowledge Exchange and Outreach (KEO), Team Training, located in Mannheim, is looking for a

Wissenschaftliche/r Mitarbeiter/in (PostDoc) (m/w/d)

zur Konzeption von Trainings im Bereich Computational Social Science sowie Methoden der empirischen Sozialforschung

(Salary group 13 TV-L, 100% working time, initially limited to 4 years)

GESIS is strategically realigning and growing: Digital behavioural data (DBD) will be a focus of our activities in the future. The aim is to establish new collection, processing, analyses, and archiving infrastructures across departments, as well as research on current socio-political topics with new data types and methods (social media data, smartphone apps, machine learning, data science).

The department Knowledge Exchange and Outreach (KEO) develops and provides a wide range of services and formats to support the knowledge transfer of expertise and research outcomes to the scientific community and society. As a core unit of the department, the Team Training 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 will be:

  • Development and organization of method trainings, in particular in computational social science, in Mannheim and in a virtual setting (selection of topics, course development, recruitment of lecturers, course supervision, etc).
  • Supporting the overall tasks of the team, including program development and course evaluations
  • Research and academic publishing in one of our GESIS research areas

Your profile:

  • Doctorate/PhD or well advanced doctoral/PhD thesis in the social sciences, computer science, applied mathematics, or a related field
  • Very good knowledge of quantitative methods of empirical social research and computational social science
  • Established networks in the national and international specialist community in the field of Computational Social Science
  • Experience with developing innovative courses, including digital formats, is desired
  • High level of German and English language proficiency in spoken and written form

For further information concerning the tasks please contact Dr. Johannes N. Blumenberg via E-Mail. If you have questions about the application process, please contact Michaela Schwarzhaupt via E-Mail.

Have we aroused your interest?

Please apply via our Online-application portal until 10.10.2021.

Our reference number is KEO-38.