in multiple locations

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) will fund 15 PhD students across Europe. They will develop maching 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.

Academic hosts: University of Oxford, Universität Leipzig, Stockholm University, ETH Zurich, University of Edinburgh, Universitat de Valencia, University College London, German Aerospace Centre DLR, Ecole Polytechnique Federale de Lausanne (EPFL)

Partners: Amazon, Iris.ai, FastOpt, MetOffice, Alan Turing Institute, GAF, University of Jena.

PhD students will begin their projects in September 2020, kicking off with a summer school held at Oxford.

Candidates must be Early-Stage Researchers (in the first four years of their research careers and not yet have been awarded a doctoral degree) and are required to undertake transnational mobility (move from one country to another).

Applications for studentships are open now, with an application deadline of 3 February 2020. All applications must be submitted through the iMIRACLI project webpage:

www.imiracli.eu

Detailed information on the offered projects, the application procedures and frequently asked questions can be found on the project webpage (www.imiracli.eu). Please direct further inquiries to contact@imiracli.eu.