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.

REQUIREMENTS

We are looking for a motivated person with the following requirements:

• Master of Science (MSc) in Computer Science, Artificial Intelligence, Data Science, or equivalent
• 2-3 years of research experience in machine learning, AI, or related fields
• Demonstrated advanced programming skills in Python
• Strong interest in applying machine learning techniques to climate change research
• Ability to work both independently and as part of a collaborative, interdisciplinary team
• Demonstrated expertise in designing and implementing deep learning algorithms
• Proficiency with modern machine learning tools, with particular expertise in PyTorch

Desirable:

• PhD in Computer Science, Artificial Intelligence, Data Science, or equivalent
• Expanded record of publications in peer-reviewed scientific literature, specifically in machine learning and/or climate change domains
• Demonstrated knowledge of uncertainty quantification in mathematical models
• Advanced expertise in specific deep learning methodologies, including:
• Convolutional Neural Networks (CNNs)
• Transformer architectures
• Large Language Models (LLMs)
• Deep reinforcement learning
• Distinctive advantage: In-depth knowledge of foundation model design and implementation
• Skills on computer vision applied to satellite data

Technical skills:

• Advanced Python programming
• Deep learning framework expertise (PyTorch)
• Statistical analysis and machine learning techniques
• Data preprocessing and feature engineering
• Experience with climate/environment-related datasets
• Version control (git)
• Research and scientific writing

The successful candidate is expected to work on the following tasks which include but are not limited to:

• Developing and implementing advanced machine learning and deep learning algorithms to analyze climate-related datasets;
• designing and conducting independent research projects that leverage AI technologies to gain insights into climate systems;
• participation in research projects, by collaborating with interdisciplinary teams of climate scientists, economists, data scientists, and domain experts
• publishing research findings in peer-reviewed scientific journals and presenting at international conferences;
• contributing to the development of new models and innovative AI approaches for climate change research.

The job location is Milan, Italy.