PhD in Sociology — Longitudinal, Spatial Data Research

University of Zurich; Riedt; On-site; CHF 64,000 - 80,000; Full time

Job summary

The University of Zurich is inviting applications for a position to support a doctoral dissertation in sociology, comprising three empirical papers. You will develop independent research questions and contribute to the design, implementation, and analysis of a longitudinal study, supplemented by diary, geo-spatial, and experimental data.

You will apply advanced quantitative methods in collaboration with an experienced postdoctoral researcher, present findings, and co-supervise Bachelor’s and

Qualifications

• Master's degree by start of employment.
• Strong interest in sociological questions regarding socialization, childhood and adolescence, social inequalities, and digital and physical living environments.
• Very good quantitative methodological skills and experience with R or Python; knowledge of longitudinal analysis is an advantage.

Responsibilities

• Develop and pursue independent research questions as part of an article-based doctoral dissertation comprising three empirical papers.
• Design, implement and analyze a longitudinal study with diary, geo-spatial and experimental data.
• Conduct additional analyses of secondary data.
• Apply and further develop quantitative analytical methods in collaboration with an experienced postdoctoral researcher.
• Present and publish research findings and contribute to interdisciplinary collaboration at the Jacobs Center.
• Co-supervise Bachelor's and Master's theses in sociology.

Skills

Quantitative analysis

R or Python

German & English communication

Education

Master's in sociology or related social science

Tools

R

Python

Job description

The University of Zurich is inviting applications for a position to support a doctoral dissertation in sociology, comprising three empirical papers. You will develop independent research questions and contribute to the design, implementation, and analysis of a longitudinal study, supplemented by diary, geo-spatial, and experimental data.

You will apply advanced quantitative methods in collaboration with an experienced postdoctoral researcher, present findings, and co-supervise Bachelor’s and