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Data Scientist for Climate Risk Assessment and Resilience
2 settimane fa
Job Overview:
The Department of Civil and Environmental Engineering at the University of Florence, Italy is seeking a highly motivated Data Scientist to join their research team as a Postdoctoral Researcher in Machine Learning for Climate Risk Assessment.
Key Responsibilities:
- Develop novel methodologies integrating climate datasets, Earth observations, and geospatial socioeconomic statistics within an artificial intelligence framework.
- Analyze spatial and temporal variations of societal vulnerabilities to climate extremes at the global scale.
- Contribute to the identification of hotspot areas highly vulnerable to climate extremes and the definition of effective adaptation strategies.
- Work collaboratively with a young and multi-disciplinary team within the Horizon SPARCCLE project.
Requirements and Qualifications:
- PhD in a relevant field such as computer science, data science, or environmental science.
- Experience in machine learning, data analysis, and programming languages such as Python or R.
- Familiarity with geospatial data and artificial intelligence frameworks.
- Excellent communication and collaboration skills.
Benefits:
- Opportunity to work on a high-impact project contributing to climate resilience.
- Collaborative and dynamic work environment.
- Professional development opportunities.
Project Overview:
The Horizon SPARCCLE project aims to enhance understanding of vulnerability dynamics and underlying mechanisms in response to global changes. The project will contribute to the transition to a climate-resilient development by identifying hotspot areas highly vulnerable to climate extremes and defining effective adaptation strategies.