The University of Zurich, Switzerland's largest university, offers a range of attractive positions across various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams, the University provides an inspiring working environment focused on cutting-edge research and top-class education. Put your talent and skills to work with us and discover more about UZH as an employer!
Your Responsibilities
The PhD student will support all aspects of the collaborative research project throughout its three-year duration. This includes:
Adapting and deploying the existing open-source prototype of the translation tool for simple language, which serves as the foundation for this project.
Accompanying and assisting in the tool's use by our practice partners in real-world settings.
Designing, conducting, and evaluating field experiments that will test its effectiveness in improving benefit uptake.
Contributing to academic publications that disseminate the project's findings.
Engaging in public dissemination of results through workshops and outreach events.
Managing stakeholders and coordinating with various practice partners regularly.
Active involvement in both the research teams of Dr. Gabriel and Prof. Donnay is expected, and workspaces at both institutes will be provided. The PhD student will also supervise student research assistants supporting the broader project. While there is no teaching requirement associated with the position, opportunities to take on compensated teaching assignments at the BA level may be available based on departmental needs.
Your Profile
A strong personal motivation to use digital tools to address real-world social challenges, with a clear focus on improving people's lives.
A completed (or soon-to-be completed) master's degree in political science, another social science, or social work. Candidates with a background in social work should demonstrate a solid foundation in data science (e.g., through prior training, work experience, or additional qualifications).
A strong interest in applied social research in the areas of social policy, inequality, digitalization, and public administration.
Proven quantitative research and data science skills, including:
Programming (Python)
Data analysis (in R or Python)
Designing and conducting (field) experiments
Familiarity with or interest in AI tools, natural language processing, or plain language communication is a strong asset.
A good understanding of public administrations, welfare states, and the issue of non-take-up of social benefits.
Ability to work independently as well as collaboratively within interdisciplinary and cross-institutional teams.
Strong command of both German and English.
A mindset marked by creativity, open-mindedness, and curiosity.
Application Process
Apply online using the form below. Please note that only applications matching the job profile will be considered.