Postdoctoral researcher

• Contribute to the development and evaluation of integrated assessment modeling tools linking socio-economic pathways with environmental and climate outcomes
• Design and run scenario experiments
• analyze and interpret model results for policy-relevant questions
• Document workflows and support reproducible research (model evaluation/validation, transparent assumptions)

• PhD in economics, environmental science or a closely related quantitative field (e.g., climate/energy policy, or other related field with strong quantitative/economic focus)
• Demonstrated interest in topics such as environmental economics, energy transitions, climate impacts, and air pollution
• Strong quantitative skills (e.g., econometrics, optimization, I/O table, CGE, simulation modeling) and solid programming experience (e.g., Python/R/Matlab/C)
• Ability to work independently and communicate effectively in English in an interdisciplinary environment

Familiarity with machine learning/statistical learning (e.g., regression/ML pipelines, neural networks, model evaluation), and experience using common ML libraries

• Competitive compensation and benefits according to the applicable collective agreement (TVöD/MPG)
• An international, collaborative research environment at the Max Planck Institute for Chemistry
• Access to strong scientific networks across atmospheric chemistry, climate science, and policy-relevant modeling
• Support for professional development, publication, and conference participation