iMIRACLI (innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts) brings together leading climate and machine learning scientists across Europe with non-academic partners, such as Amazon and the MetOffice, to educate a new generation of climate data scientists.
This EU funded Marie Skłodowska-Curie Innovative Training Network (ITN) will fund 15 PhD students across Europe. They will develop 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 will have 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 will enrich student experience and training.
Students will begin their projects in September 2020, kicking off with a summer school held at Oxford. We still have one open position on causal inference. Apply at https://www.dlr.de/dlr/jobs/en/desktopdefault.aspx/tabid-10596/1003_read-42687/