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.
Academic hosts: Universities of Oxford, Leipzig, Stockholm, ETH Zurich, Edinburgh, Valencia, UCL London, German Aerospace Centre DLR, EPFL Lausanne
Partners: Iris.ai, FastOpt, MetOffice, Alan Turing Institute, Amazon, 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:
This project receives funding from the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement No 860100.