12674 - Machine Learning for Climate Science specialist

at  CMCC Foundation

WHAT WE ARE LOOKING FOR

The Division of Regional Models and geo-Hydrological Impacts (REMHI) at the Institute for Climate Resilience (ICR) is seeking for 2 Machine Learning for Climate Science specialists to support the design, development, and deployment of AI-driven applications for climate research. This role focuses on leveraging machine learning techniques to perform data-driven climate analysis at very high spatial and temporal resolution, as well as monitoring and nowcasting of severe weather events using satellite data.

ABOUT US

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. CMCC’s core objective is to conduct cutting-edge science, to train the next generation of scientists at both national and international levels, and to be a beacon for climate modelling.
CMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that can support informed public debate and decision-making processes. To achieve climate research objectives at the highest international standards, we invest in training all our talents, and strive to create a workplace where everyone can excel.
At CMCC you will find a strong, professional environment. Join an inclusive community that values diversity, where every voice is heard and respected. Help foster a culture of innovation and societal change, where individuals from all backgrounds can thrive and succeed.
Over the last decade, CMCC has experienced extraordinary growth. We are now embarking on a new chapter of our journey that will further boost CMCC’s global position in climate change research…Together!

REQUIREMENTS

• Ph.D. or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Experience in Data Science, Machine Learning, Deep Learning, and AI for geospatial data and climate science.
• Proficiency in Python and scientific libraries (e.g., xarray).
• Experience with PyTorch.
• Basic understanding of high-performance computing (HPC) for large-scale model training.
• Experience in data preprocessing and model evaluation.
• Ability to work independently and as part of a team.
• Good communication skills in English.

ROLE

The Machine Learning for Climate Science specialist will work closely with the REMHI team to support AI-driven climate science applications. Responsibilities include:

• Downscaling Climate Data: Developing algorithms to downscale climate data for more accurate predictions and analyses.
• Monitoring and Nowcasting Atmospheric Events: Implementing systems for the real-time prediction of atmospheric events, including extreme weather.
• Product Validation: Validating AI-driven products using simulated models and observations to ensure reliability and accuracy.

The role requires proficiency in machine learning, data analysis, and atmospherical science, with experience in satellite data processing, high-performance computing, and model validation.

RESPONSIBILITIES

The Machine Learning for Climate Science specialist will support the REMHI Division, with:

• Algorithm Development:
• Develop and improve AI algorithms for downscaling climate data.
• System Design and Implementation:
• Design and deploy systems for real-time prediction (nowcasting) of weather events.
• Utilize satellite data and machine learning for event detection and forecasting.
• Data Processing:
• Process and analyze satellite data for climate predictions and nowcasting systems.
• Handle large datasets for machine learning and climate analysis.
• High-Performance Computing (HPC):
• Optimize software and algorithms to run efficiently on HPC infrastructure.