iMIRACLI Innovative Training Network (ITN) Studentships


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.

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:

This project receives funding from the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement No 860100.


Philip Stier
Professor of Atmospheric Physics
Head of Atmospheric, Oceanic and Planetary Physics
Department of Physics
University of Oxford

twitter: @iMIRACLI_ITN