PhD scholarship in Physics-Informed Machine Learning for Greenland’s Firn Tipping Point - DTU Space
Apply on the employer’s site Open in Atlas
About this 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 with a background in physics and/or mathematics 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…
Excerpt only. The full posting is on the employer’s careers site.
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