PhD Scholarship for Gender in the Age of Digitization and Technological Change (f/m/d)

We are offering a fully funded PhD position in Sociology/Computational Social Sciences within the Emmy Noether research group "GenDiT - Gender in the Age of Digitization and Technological Change". The PhD position is associated with the Assistant Professorship of Computational Social Science and Social Dynamics at the University of Erlangen-Nuremberg in Germany (Nuremberg Campus).

You will be part of the independent DFG-funded Emmy Noether Research Group "GenDiT - Gender in the Age of Digitization and Technological Change", which is hosted by the Assistant Professorship of Computational Social Science and Social Dynamics at the University of Erlangen-Nuremberg (FAU). The Research Group is dedicated to understanding the links between digitization and gender inequality in the educational system and the labor market. A central aim is to combine knowledge from Sociology, Educational Research, and Computational Social Science. The research projects are planned in cooperation with an international network of leading scientists (at NYU, UCI, Sciences Po, and Tel Aviv). Further information on the Research Group is available at .

We are currently seeking a PhD student with interest in Machine Learning, who will participate in transforming web scraped job vacancy data into measures for technological change, link the measures to administrative data, and answer questions related to technological change and gender inequality within organizations.

Your tasks will include

• Participation in the planning and implementation of research projects related to the research topic "Gender inequality in positional power within ICT-related organizations"

• Preparation and analysis the Integrated Employment Biographies (IEB), archival newspaper data, and other relevant data sets

• Producing research results using state-of-the-art empirical methods

• Independent research for own PhD thesis

• Presentation of research results at internal, national, and international research seminars, workshops and conferences

• Publication of research results in scientific peer-reviewed journals

Necessary qualifications:

• Concluded (resp. soon to be concluded) above-average master's degree (M. A./M. Sc.) in the field of sociology, computational social science, or another social science (e.g., social economics, economics, empirical educational research, psychology)

• Interest in topics of social inequality, gender, labor markets, and educational research

• Solid knowledge of empirical research methods

• Very good knowledge of English

• Experience with (statistical) software Stata, R, and/or Python

• Independent and team-oriented way of working, strong motivation, and initiative

Desirable qualifications:

• Knowledge of and experience in implementing Machine Learning algorithms
• Interest in working with data and initial experience in empirical research with extensive data sets (e.g., as part of a thesis or internship)