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Bringing together leading climate and machine learning experts across Europe to train a new next generation of climate data scientists.

iMIRACLI (innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts) brings together leading climate and machine learning scientists across Europe with non-academic partners to educate a new generation of climate data scientists.

This EU funded Marie Skłodowska-Curie Innovative Training Network (ITN) funds 15 PhD students across Europe. They are developing machine learning solutions to deliver a breakthrough in climate research, by tracing and quantifying the impact of aerosol-cloud interactions from the microscale to large-scale climate.

Each student has an interdisciplinary supervisory team, combining academic climate and machine learning supervisors as well as a non-academic advisor. International secondments to co-supervisors as well as to the non-academic partners enrich student experience and training.

UN AI for Good: Accelerating climate science with AI

14 July 2021

Principal Investigator Philip Stier and Training Coordinator Duncan Watson-Parris have been working with the United Nations ITU unit to organise a new event series on climate and Artificial Intelligence/ Machine Learning.