PhD scholarship in Physics-Informed Machine Learning for Greenland’s Firn Tipping Point - DTU Space

About the role

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.

Excerpt of a job ad published on jobindex.dk. Read the full ad there.