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Andrea Castelletti

1 year ago

Postdoctoral Researcher in Data Science and Behavioral Modeling for Global Water Systems Politecnico di Milano in Italy

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is fully funded for 24 months with the possibility of renewal. No specific stipend amount or tuition coverage is mentioned.

Deadline

Expired

Country flag

Country

Italy

University

Politecnico di Milano

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Keywords

Computer Science
Data Science
Machine Learning
Environmental Science
Hydrology
Artificial Intelligence
Earth Science
Environmental Sustainability
Applied Behavior Analysis
Climate Dynamics
Water Supply

About this position

The CMCC Foundation – Centro Euro-Mediterraneo sui Cambiamenti Climatici in Milan, Italy, is seeking two early-career postdoctoral researchers to join their team. The research focuses on applying machine learning and data analytics to understand and simulate human behavior in global water systems, bridging artificial intelligence, hydro-climatic sciences, and environmental systems analysis. The mission includes reconstructing behavioral patterns in global water use across domestic, agricultural, and energy sectors, applying AI to infer reservoir operations and management decisions, and integrating behavioral insights into next-generation hydrological and energy models. This work aims to improve the representation of human–water interactions under climate change, contributing to the development of behaviorally realistic Earth system models. The position offers a 24-month renewable contract and the opportunity to work in a dynamic, international team dedicated to climate-resilient and sustainable futures. Applicants must have a PhD in Environmental Engineering, Computer/Data Science, or related fields, with experience in machine learning, geospatial and time-series analysis, and strong Python skills. The application deadline is January 31, 2025. For more information and to apply, visit the provided link.

Funding details

The position is fully funded for 24 months with the possibility of renewal. No specific stipend amount or tuition coverage is mentioned.

What's required

Applicants must hold a PhD in Environmental Engineering, Computer/Data Science, or a related field. Required experience includes machine learning, geospatial and time-series analysis, and strong Python programming skills. A strong interest in water systems and human–environment interactions is essential. No specific GPA or language test requirements are mentioned.

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Professors

Professor

University Name
Country flag

Italy

Research Interests

Hydrology

Climatology

Water-energy Nexus

Drought Tolerance

Ecohydrology