Fully Funded PhD Opportunity in Climate Extremes and Public Opinion at the Wyss Academy for Nature, University of Bern: Apply by 12 May 2026 ·Wyss Academy for Nature

Overview

This fully funded PhD position in Climate Extremes and Public Opinion offers an opportunity to contribute to innovative research at the intersection of climate science, governance, and communication.

Eligibility

Applicants should have a strong academic background in the social sciences, focusing on political science, communication, psychology, economics, environmental studies, or related disciplines. Key qualifications include:

• A completed Master’s degree in a relevant field
• Strong knowledge of quantitative and/or qualitative research methods, including surveys, experiments, or content analysis
• Experience or interest in social network analysis
• Basic programming skills in R, Python, or similar tools (AI or machine learning experience is an advantage)
• Ability to work in international and intercultural environments
• Excellent written and spoken English skills (German and/or French is an asset)

Benefits

This PhD position provides access to a highly collaborative and international research environment with key benefits including:

• Employment conditions aligned with the standards of the University of Bern
• Competitive doctoral salary
• Flexible working hours and home office options
• Opportunities for professional development and international collaboration
• Engagement with real-world policy and stakeholder networks

How to Apply

Applications must be submitted in English via the official online portal by May 12, 2026. Required materials include:

• A cover letter (maximum 2 pages) outlining research interests, motivation, and qualifications
• A curriculum vitae including contact details of two academic references
• Academic transcripts
• A research proposal (maximum 3 pages excluding bibliography) including the research question, theoretical framework, methodology, and expected contributions

Applicants are encouraged to indicate any use of artificial intelligence tools in their application materials.

Deadline

May 12, 2026