The European Commission will fund an Innovative Training Network iMIRACLI (innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts) which will train doctoral students in machine learning skills to address climate change.

iMIRACLI will be led by the University of Oxford with the involvement of the Department of Physics (Philip Stier and Duncan Watson-Parris) and the Department of Statistics (Dino Sejdinovic). Network also includes the University of Leipzig, Stockholm University, ETH Zurich, the University of Edinburgh, Universitat de Valencia, University College London, the German Aerospace Center (DLR), Ecole Polytechnique Federale de Lausanne and the University of Jena, together with the non-academic partners Amazon, The Alan Turing Institute, MetOffice,, GAF AG and FastOpt.

Further details are available here.