PhD Candidate Social Mobility / Social Networks / Labour Market Segregation

Updated: almost 2 years ago
Deadline: The position may have been removed or expired!
Department of Sociology
PhD Candidate Social Mobility / Social Networks / Labour Market Segregation
100 %

The Department of Sociology at the University of Zurich looks back on more than 50 years of active research and teaching. It is one of the leading empirically oriented institutes in Switzerland and Europe. The basic understanding is based on theory-driven empirical social research, with a strong focus on quantitative methods.
The PhD position is part of a 5-year project funded by the Swiss National Science Foundation. The project is led by Per Block (currently at the University of Oxford) and focuses on understanding how individuals move between jobs and occupations over the life-course and between generations. The project uses statistical methods developed for the analysis of social networks to gain new insights into the social component of mobility. The conceptual and methodological approach is briefly outlined in this paper: t.co/nKjgcFAZlO. The approach will be applied to diverse areas during the project.
Your responsibilities
The prospective position holder will conduct research to write a PhD thesis with a high degree of flexibility. During the initial months of the position, the type of mobility (inter-generational, occupational change over the life-course, or job mobility), the context (country and/or industry), and the aim (understanding individual mobility, understanding contextual variation on mobility, or segregation dynamics etc.) will be developed jointly by the PhD student and the supervisor.
Students interested in working on methodological developments in this area are equally encouraged to apply.
The main responsibilities of the position holder are:
  • Learn statistical skills, conceptual approaches, and the relevant literature to become a competent researcher and academic in the fields of network studies, social mobility or labor markets.
  • Develop and exchange ideas with colleagues.
  • Perform statistical analyses.
  • Write and publish research articles.
  • Travel to international conferences to engage in knowledge exchange and present results.

Your profile
  • A collaborative and creative mindset.
  • Master's degree (or close to completion) in social science or an adjacent area, such as Sociology, Economics, Network science, Social statistics, or related fields.
  • Good quantitative skills and willingness to develop expertise in specialized statistical methodology.
  • Experience in using statistical software such as R, Python, or Stata and willingness to work in R.
  • Willingness to engage with past theoretical and empirical literature in depth.
  • Excellent English language skills, both written and spoken. (Speaking German is NOT required for the position.)

What we offer
  • A stimulating, dynamic and supportive research environment.
  • Very competitive salary and excellent working conditions.
  • A large degree of leeway for creativity, planning, and development of ideas and projects.
  • A motivated and friendly team atmosphere designed to create great research and facilitate personal development.
  • The possibility work with a certain degree of flexibility (in terms of time and place).
  • High quality of life in Zurich.
  • The position is initially limited to three years, with the possibility of extension upon successful funding acquisition.

Place of work
University of Zurich, Department of Sociology, Andreasstrasse 15, 8050 Zurich, Switzerland
Start of employment
Employment start date to be mutually agreed.
Please submit your application until 15 July 2022.
Your application should contain all of the following five documents:
(i) A motivation letter including your strengths and skills (max 2 pages),
(ii) your CV (including name and contact details of two referees),
(iii) an outline of your research interests (max 2 pages),
(iv) one writing sample (e.g. Master's thesis, Bachelor's thesis, past course-work),
(v) your most relevant degree certificate and grade transcript (usually the most recent degree).
Please apply via our job portal www.jobs.uzh.ch.
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