PhD scholarship in Physics-Informed Machine Learning for Greenland’s Firn Tipping Point - DTU Space
DTU, Danmarks Tekniske Universitet PhD scholarship in Physics-Informed Machine Learning for Greenland’s Firn Tipping Point - DTU Space
Summary
PhD position at DTU Space in Kgs. Lyngby: develop physics-informed machine-learning models to predict when Greenland's porous firn layer will lose its meltwater-storage capacity and what that means for sea-level rise. Work centers on turning physical processes into equations and code applied to climate-science data.
Are you interested in turning natural phenomena into equations and code, and then applying them to big open questions in climate science?
If so, we are looking for a PhD student to help predict when Greenland’s porous near-surface firn layer, which currently stores much of the ice sheet’s meltwater, loses that capacity, and what that means for sea-level rise.