ETH Zürich

PhD Students in Circular Economy and Climate Change Resilience

📍 Zurich

Role and responsibilities

We expect your research to be scientifically rigorous and relevant to policymakers and managers. You will collaborate closely with other researchers in our group, other research consortia members, as well as interact with policymakers and further stakeholders. As an integral part of your work, you will publish your results in high-impact peer-reviewed journals and outreach outlets. You will also supervise master students and support the group’s teaching activities.

Team / description

The Group for Circular Economy within the Department of Management, Technology, and Economics at ETH Zurich investigates the role that technological innovations, policy interventions, and business strategies play in transitioning towards a sustainable circular economy. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Qualifications and Skills

  • Hold an M.Sc. or equivalent degree in economics, engineering, environmental sciences, or a closely related discipline

  • Have an excellent academic record

  • Have strong analytical skills, including experience with qualitative and quantitative research methods

  • Be passionate about sustainability, circular economy, and climate resilience

  • Be interested in the intersection of sustainability research and its real-world policy and business applications

  • Be able to work independently, manage multiple tasks and deadlines

  • Be a team player with strong communication skills

  • Have experience with coding and modeling (e.g., with Python)

  • Be fluent in spoken and written English