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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.

environmental data science

Pollution Tracker: iMIRACLI work published in Environmental Data Science

06 July 2023
Congratulations to ESR Peter Manshausen and co-authors, whose work has recently been published in Environmental Data Science
mariaposterprize

Poster success for ESR Maria

09 June 2023
Maria Novitasari, ESR with UCL, wins the 'People's Choice' award in her university poster competition
imiracli egu23 social

ESRs present work at EGU 2023

28 April 2023
Many of our ESRs presented their work at EGU 2023 - find out more here.
atlantic shiptracks lrg

ESR work on 'ship-tracks' published in leading journal

07 October 2022
Invisible tracks from ship emissions show a large cloud sensitivity