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Risk analyst


Euro-Mediterranean Centre on Climate Change CMCC


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Job Location

Venice, Italy    

Applicant Location Requirements

No Applicant Location Requirements Specified.

Application Deadline

July 15, 2024

CMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change.

We are looking for a Risk Analyst, capable of effectively managing complex and heterogeneous datasets and leveraging Earth Observation data, with the ability to prioritize tasks and solve problems efficiently. You will work in a multidisciplinary and dynamic team, ensuring smooth integration of heterogeneous datasets into a multi-risk assessment framework to tackle the challenges posed by climate change.

The Risk Analyst will support the RAAS research team with the collection, examination, processing and analysis of hazard, exposure and vulnerability data needed to inform risk modelling and assessment.

The Risk Analyst will support the RAAS research team, with:
– Satellite data acquisition and processing from multiple sensors;
– Hazard, exposure and vulnerability indices calculation;
– Handling of complex geospatial data and their processing;
– Large datasets harmonization and management;
– Support to data preparation and harmonization for machine learning applications;
– Contribution to perform quantitative (climate) risk and multi-risk assessments;
– Contribution to develop climate risk and adaptation services.

Special Requirements
– Master’s degree in computer science, Mathematics, Physics, Engineering, Crop Sciences or Environmental Sciences; – Work experience in GIS analysis, remote sensing analysis and coding; – Previous experience in analysis of climate change impacts, vulnerabilities and risk; – Proficiency with common programming languages (e.g., Python, Java, C++); – Knowledge of (geo)statistics and of geospatial data processing software and tools; – Very good knowledge of the English language; – Accuracy and good analytical skills. – Preferred qualification: – Experience in Machine learning and Deep neural network model application for climate change risk assessment in complex environmental systems.

Apply online or via email