Michaela Slotwinski
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PhD Position in Social Work (50%) – ITTS, Faculty of Economics and Business University of Neuchâtel in Switzerland
Degree Level
PhD
Field of study
Sociology
Funding
Available
Deadline
Mar 31, 2026
Country
Switzerland
University
University of Neuchâtel

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About this position
The Transdisciplinary Institute of Social Work (ITTS) at the Faculty of Economics and Business, University of Neuchâtel, invites applications for a 50% PhD position in Social Work. This opportunity is supervised by Prof. Dr. Michaela Slotwinski and is ideal for candidates interested in empirical research at the intersection of social work, public policy, inequality, and gender economics. The successful candidate will conduct research for their PhD thesis, contribute to teaching and tutoring in quantitative methods for the social sciences, and participate in the ongoing development of the ITTS.
The University of Neuchâtel offers an excellent research environment, with modern infrastructure and a high quality of life in the city of Neuchâtel, Switzerland. The position provides the opportunity to work independently on your PhD thesis, develop mentoring and teaching skills, and engage in transdisciplinary research. The salary is set according to the university's regulations for a 50% PhD position.
Applicants should hold a master's degree in social work, economics, political science, or a related field, and possess strong skills in applied data analysis or econometrics, particularly with a focus on causal inference. Excellent social and communication skills are also required. The application must include a motivation letter (with potential PhD thesis ideas), CV, writing sample (MA thesis), and copies of diplomas and grade transcripts.
Applications will be processed as they are received, with a final deadline of March 31, 2026. For more information about the institute and life in Neuchâtel, visit the university's website. The University of Neuchâtel is committed to non-discriminatory working conditions and encourages applications from all qualified candidates.
Funding details
Available
What's required
Applicants must hold a master's degree in social work, economics, political science, or a related field. Excellent knowledge of undergraduate-level applied data analysis or econometrics, with a focus on causal inference, is required. Strong social and communication skills are also expected. Application materials must include a motivation letter (with potential PhD thesis ideas), CV, writing sample (MA thesis), and copies of diplomas and grade transcripts.
How to apply
Send your application by e-mail to [email protected], including a motivation letter (with potential PhD thesis ideas), CV, writing sample (MA thesis), and copies of diplomas and grade transcripts. Applications are processed as received until the deadline. For further information, contact [email protected] before the deadline.
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