As a part of the iMIRACLI innovative training network funded by the European Union, there is a DPhil (PhD) opening at OxCSML to work on scalable and expressive spatio-temporal modelling for climate. This project will be supervised by Prof. Dino Sejdinovic and will be in collaboration with EPFL Lausanne, Amazon, and Met Office. Another 14 projects within the network are available. Candidates can be of any nationality but are required to undertake transnational mobility (i.e. move from one country to another) when taking up their appointment.

Apply here by the deadline of 3rd February 2020

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.