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Crea una Job Alert gratuita per 12839 - mid-level impact modeller – climate risks, energy systems and socio-economic resilience / milano

12839 - Mid-level Impact Modeller – Climate Risks, Energy Systems and Socio-Economic Resilience

Pubblicato il 12-08-2026 - Azienda riservata in Milano

CMCC Position cod. 12839

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Impact Modeller – Climate Risks, Energy Systems and Socio-Economic Resilience
Deadline: September 15th, 2026

What We Are Looking For
We are seeking two outstanding/ambitious mid-level researchers with a strong track record in climate impact modelling, environmental systems modelling, integrated assessment, or related disciplines to join the European Institute on Economics and the Environment (EIEE) at the CMCC Foundation in Milan, Italy.

The successful candidates will contribute to the scientific development of next-generation climate impact modelling frameworks supporting climate adaptation, energy transitions, and resilience planning across vulnerable regions worldwide.

The position focuses on understanding how climate change propagates through interconnected human and natural systems, affecting energy systems, water resources, ecosystems, food production, infrastructure, and socio-economic development.



The successful candidate will lead the development of integrated modelling approaches capable of translating climate hazards into actionable information for decision-makers and supporting evidence-based adaptation strategies.

A particular emphasis will be placed on modelling climate impacts across interconnected human and natural systems, including water resources, energy systems, food systems, biodiversity, and ecosystem services, integrating Earth system information with impact models, socio-economic analysis, artificial intelligence, and decision-support tools to support climate adaptation, resilience, and sustainable development.

The successful candidates will play a leading role in shaping a new generation of modular, scalable, and policy-relevant impact modelling frameworks, working within interdisciplinary teams spanning climate science, engineering, economics, AI, and environmental systems analysis.

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