PhD in Cognitive & Moral Heuristics of Climate Adaptation

ETH Zurich; Zürich; On-site; CHF 47,000 - 53,000; Full time

Benefits offered by this job

Public transport tickets

Car sharing

ASVZ sports program

Childcare benefits

Pension benefits

Job summary

ETH Zurich invites applications for a doctoral position focusing on cognitive and moral heuristics in lay people's reactions to climate change adaptation. The candidate will conduct empirical studies, write manuscripts for journals, present findings at conferences, supervise students, and support lectures.

The position starts January 2027 and is 100% at ETH Zurich in Zurich. We seek a motivated researcher with a Master’s in psychology, environmental science, or social sciences, strong statistics

Qualifications

• Master's degree in psychology, environmental science, or social sciences.
• Knowledge and first experiences with descriptive and inferential statistics.
• Advanced German and English skills.
• Ability to think conceptually and work independently.
• Strong interest in research and methodologies from psychology and social sciences.

Responsibilities

• Conceptualization and conduction of empirical studies (quantitative or qualitative designs are possible).
• Writing manuscripts and publishing studies in scientific journals.
• Dissemination of research results (e.g., at conferences).
• Supervising bachelor and master students.
• Supporting lectures.

Skills

Statistics

German language

English language

Independent thinking

Research interest

Education

Master's degree in psychology, environmental science, or social sciences

Job description

ETH Zurich invites applications for a doctoral position focusing on cognitive and moral heuristics in lay people's reactions to climate change adaptation. The candidate will conduct empirical studies, write manuscripts for journals, present findings at conferences, supervise students, and support lectures.

The position starts January 2027 and is 100% at ETH Zurich in Zurich. We seek a motivated researcher with a Master’s in psychology, environmental science, or social sciences, strong statistics