The European Commission has announced the funding of a new Innovative Training Network, led by Oxford University, which will train PhD students in Machine Learning Skills to address Climate Change.
The European Commission has announced the funding of a new Innovative Training Network, led by Oxford University, which will train PhD students in Machine Learning Skills to address Climate Change.
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.
The project will start in 2020, with students beginning their projects in September 2020, kicking off with a summer school held at Oxford. It will fund 15 PhD student across Europe, with three of them directly supervised in Oxford (two in Physics, one in Statistics). Oxford is the overall lead of the project and Philip Stier, Professor of Atmospheric Physics at Oxford University, is the lead PI.
Each student will have a climate science and a machine learning supervisor as well as an industrial advisor. All students will have secondments to their industrial partners as well as to the co-supervisor.
Read more at University of Oxford
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