Overview

The Wyss Academy for Nature at the University of Bern invites applications for a PhD position focused on climate extremes and public opinion within the Environmental Governance and Global Development team.

Key Responsibilities

Contribute actively to WP4 of NCCR CLIM+ research projects
Conduct original research relevant to the PhD dissertation
Disseminate research findings through conferences, workshops, and academic publications
Support academic activities, including administrative tasks and potential teaching responsibilities

Requirements

Master’s degree in political science, communication, psychology, economics, environmental studies, or related social sciences
Proficiency in quantitative and qualitative research methods (survey design, content/media analysis, experimental methods)
Experience with social network analysis
Basic programming skills in R, Python, or similar; AI/ML experience is advantageous
Demonstrated intercultural sensitivity with international experience
Fluency in English (written and oral); proficiency in German and/or French is a plus
Creative, team-oriented, and passionate about environmental issues
Able to work independently in a multidisciplinary environment
Professionalism and integrity in stakeholder engagement

Benefits

Integration into an innovative, high-impact research institution
Multicultural, multidisciplinary working environment
Salary aligned with the University of Bern standards
Modern workspace in Bern’s Old Town
Flexible working hours, home office options, and professional development opportunities

Location

Bern

How to Apply

Interested candidates should submit their application in English via the online portal by 12 May 2026, including:

Cover letter (max. 2 pages) detailing research interests and motivations
CV with two academic references
Academic transcripts
Research proposal (max. 3 pages, excluding bibliography) outlining research topic and relevance, academic and conceptual background, research question or problem, methodology, and potential contributions to literature or policy.

Candidates are encouraged to declare any AI assistance used in preparing their application.