Publisher
source

Leen Vandecasteele

8 months ago

PhD Positions in Social Inequalities, Time Poverty, and Parental Time Investments at University of Lausanne University of Lausanne in Switzerland

Degree Level

PhD

Field of study

Sociology

Funding

The positions are fully funded by the Swiss National Science Foundation (SNSF). The contract is for one year, renewable for up to four years in total. The employment rate is 100%. The annual salary is 58,898 CHF in the first year, increasing to 61,016 CHF by the fourth year. Funding includes support for attending international conferences and specialised training opportunities.

Deadline

Expired

Country flag

Country

Switzerland

University

University of Lausanne

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Keywords

Sociology
Demography
Social Inequality
Social Policy

About this position

The University of Lausanne (UNIL) is offering two fully funded PhD positions at the LIVES Centre, within the Institute of Social Sciences. These positions are part of the Swiss National Science Foundation (SNSF) project “The Social Stratification of Time: Investigating Inequalities in Time Use through a Swiss Diary Study (STRATUS)”. The project aims to collect and analyse time use data in Switzerland, focusing on social inequalities in time poverty and parental time investments.

Position 1 will focus on social inequalities in time poverty, supervised by Prof. Leen Vandecasteele. The research will investigate how the quantity, quality, and structure of free time differ between socio-economic groups and genders, and evaluate the consequences of time poverty for social connection and wellbeing. The project is cross-national, comparing time poverty across countries with different welfare state policies and labour market regulations.

Position 2 will examine social class differences in parental time resource investments into children, supervised by Prof. Michael Grätz. The doctoral student will analyse social inequalities in the amount, type, and timing of parental resources invested in children, with a focus on class-based differences.

Both positions require a Master’s degree in sociology, demography, social policy, economics, psychology, or a related social science with strong quantitative training. Applicants should have experience with statistical methods for survey data analysis and be familiar with R or Stata. Fluency in English and a collaborative attitude are essential. The working languages are English (mainly) and French.

The positions are fully funded for up to four years, with a starting salary of 58,898 CHF, rising to 61,016 CHF. The successful candidates will join a vibrant, interdisciplinary research environment at UNIL’s Faculty of Social and Political Sciences and the LIVES Centre. They will benefit from ongoing supervision, specialised training, and funding for international conferences. UNIL is committed to equality, diversity, and inclusion, and encourages applications from women and candidates with a migration history.

To apply, candidates must submit a motivation letter, CV, academic transcripts, an example of academic writing, and contact details for two academic referees via the official UNIL online portal. The application deadline is March 18, 2026, with interviews scheduled for March or April 2026. For further information, contact Prof. Leen Vandecasteele or Prof. Michael Grätz.

For more details, visit the official job postings and the LIVES Centre website.

Funding details

The positions are fully funded by the Swiss National Science Foundation (SNSF). The contract is for one year, renewable for up to four years in total. The employment rate is 100%. The annual salary is 58,898 CHF in the first year, increasing to 61,016 CHF by the fourth year. Funding includes support for attending international conferences and specialised training opportunities.

What's required

Applicants must hold a Master's degree in sociology, demography, social policy, economics, psychology, or another social science discipline with training in quantitative methods. Experience and motivation to work with statistical methods for analysing survey data and familiarity with R or Stata are required. Candidates should have a strong interest in research on social inequalities, fluency in spoken and written English, and a collaborative attitude. Excellent skills in statistical analysis and the ability to work as part of a team are essential. Applications from qualified women and candidates with a migration history are encouraged.

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Professors

Professor

University Name
Country flag

Switzerland

Research Interests

Health Economics

Epidemiology

Covid-19

Social Inequality

Work-family Studies

Professor

University Name
Country flag

Switzerland

Research Interests

Developmental Psychology

Educational Psychology

Social Inequality

Intergenerational Studies

Early Life