12674 - Machine Learning For Climate Science Specialist
CMCC Position cod.
12674 Machine Learning for Climate Science Specialist Deadline: February 18th, 2025
What We Are Looking For
The Division of Regional Models and geo-Hydrological Impacts (REMHI) at the Institute for Climate Resilience (ICR) is seeking 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.
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 analysesMonitoring and Nowcasting Atmospheric Events: Implementing systems for the real-time prediction of atmospheric events, including extreme weatherProduct Validation: Validating AI-driven products using simulated models and observations to ensure reliability and accuracy Responsibilities
The Machine Learning for Climate Science specialist will support the REMHI Division, with:
Algorithm Development:Develop and improve AI algorithms for downscaling climate dataSystem Design and Implementation:Design and deploy systems for real-time prediction (nowcasting) of weather eventsUtilize satellite data and machine learning for event detection and forecastingData Processing:Process and analyze satellite data for climate predictions and nowcasting systemsHandle large datasets for machine learning and climate analysisHigh-Performance Computing (HPC):Optimize software and algorithms to run efficiently on HPC infrastructure Requirements Ph. D.
or Master's degree in Computer Science, Computer Engineering, or a related fieldExperience in Data Science, Machine Learning, Deep Learning, and AI for geospatial data and climate scienceProficiency in Python and scientific libraries (e. g. , xarray)Experience with PyTorchBasic understanding of high-performance computing (HPC) for large-scale model trainingExperience in data preprocessing and model evaluationAbility to work independently and as part of a teamGood communication skills in English Duration, Compensation & Benefits Please note that this opportunity will be issued both internally and externally.
The Developers will be based in Caserta CMCC officeThe appointment period will be initially of n°12-24 months starting from March 2025, renewable for n°12 months additional months pending a positive evaluation.
The gross annual salary range is from 25 to 35K Euros, depending on qualification and working experienceWelfare package, for a minimum of 12 months contractFlexible working time as per internal policiesSupport during the immigration process, if needed PROTECTED CATEGORY
Belonging to legally protected categories (ex L. 68/99) will constitute a preferential condition.
Some fiscal benefits could be applied for repatriated workers or foreign researchers/professors, having the requirements defined by Dlgs 147/2015 (for repatriates) or Dl 78/2010 (for foreigners).
CMCC is an equal-opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, and other legally protected characteristics.
Please omit from your CV any data you or we might consider discriminatory.
This job announcement is an invitation to express interest in the above-mentioned CMCC Position.
Applicants responding to this posting declare that they have read, understood and agreed to the "Official Rule for the CMCC Personnel recruitment
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