Open postdoc position at UNIFI | Machine learning for climate risk assessment
Giovanni Forzieri
Dear colleagues,
I am pleased to share with you that applications to the following postdoctoral opportunity are now open at the Department of Civil and Environmental Engineering of the University of Florence:
“Machine learning for climate risk assessment” (2-year contract extendible up to 6 years). The work will be conducted within the Horizon Europe SPARCCLE project. A short description of the research activity is provided at the bottom of this email.
We look for applicants with a strong background in math/stats/physics and experience in analyzing large datasets, numerical modelling and computer programming. A background in climate sciences is not required.
Link to the call: https://titulus.unifi.it/albo/viewer?view=files%2F005866367-UNFICLE-7c8e21fd-dc5a-42d3-897b-3c9b4a113857-000.pdf (English version at the bottom).
To fill in the application, it is necessary to use the "Online applications" section:
https://stlabtest.dinfo.unifi.it/beta/akademia-candidature/
Application deadline: 14/01/2025 at 13:00 Italian time.
I would greatly appreciate your support in actively spreading the word among your colleagues, collaborators, students and targeted networks.
Apologies for cross-posting
Many thanks and warm regards,
Giovanni
Research activity
The researcher will explore the spatial and temporal variations of societal vulnerabilities to climate extremes at the global scale. For this scope, the researcher will develop novel methodologies by integrating climate datasets, Earth observations and geospatial socioeconomic statistics within an artificial intelligence framework. The combination of these elements will provide an enhanced understanding of the vulnerability dynamics and underlying mechanisms in response to global changes. Outcomes of the research activity will contribute to the identification of hotspot areas highly vulnerable to climate extremes and to the definition of effective adaptation strategies, ultimately contributing to foster the transition to a climate-resilient development. The work will be conducted within the Horizon SPARCCLE project in a young and multi-disciplinary team with a wide network of international collaborations.