for the Analysis of Stakeholders' Positions on the Swiss Climate Policies

Your tasks

  • Determine key drivers and factors influencing energy stakeholder’ opinions on climate policies by applying Machine Learning algorithms from the field of Natural Language Processing to the position papers from the consultation phase on the “Total Revision of the CO2 Act” (Bundesgesetz über die Verminderung von Treibhausgasemissionen)
  • Apply suitable clustering algorithms to identify stakeholders with similar positions, even if they have, or represent, different interest groups 
  • Perform sentiment analysis (positive, negative, neutral) on the stakeholder opinions towards the policies included in the “Total Revision of the CO2 Act”

Your profile

  • Master studies in the field of environmental policy, data science or political science (Master thesis should not have been completed)
  • Good knowledge of English and German 
  • Experience with scientific programming, e.g., Python, Julia or R 
  • Solid understanding and interest in Swiss energy and climate policy
  • Efficient reader

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration.

The contract will be limited to 3 months.

For further information, please contact Dr Evangelos Panos, and Dr Tom Kober,

Please submit your application online for the position as a Trainee (index no. 4502-T2).

Paul Scherrer Institut, Human Resources Management, Patrizia Meister, 5232 Villigen PSI, Switzerland