December 2019
Message 95

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[Met-jobs] 15 PhD studentships in new Innovative Training Network iMIRACLI on machine learning in climate science

From Philip Stier <>
To "<>" <>
Date Mon, 16 Dec 2019 15:36:47 +0000


iMIRACLI Innovative Training Network (ITN)

15 PhD studentships to work with leading climate and machine learning scientists across Europe to tackle the issue of aerosol-cloud interactions

Admissions open now

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

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