Are you interested in applying your data/ML/AI/physics expertise to the climate crisis? We are looking for a postdoctoral researcher in the emerging field of climate data science.

This position would be perfect for someone with AI/ML and physics experience, and interest (not necessarily  experience) in climate science or geoscience.

The postdoc would join the Polar Geophysics Group at the Lamont-Doherty Earth Observatory (LDEO) of Columbia University. They would be part of a project aimed at using machine learning and artificial intelligence to emulate ice flow physics in ice sheet models. Our initial objectives include developing work flows to simulate ice flow over high-resolution basal topography with physics-based models and to emulate this process using machine learning algorithms.

This project is funded by a new science and technology center based at Columbia University called Learning the Earth through Artificial intelligence and Physics (LEAP). LEAP brings together geoscientists and machine learning experts to improve Earth system models and establish the new interdisciplinary field of climate data science. The successful candidate will engage with the interdisciplinary activities of the center by, for example, organizing and chairing LEAP working groups. They will also have opportunities to participate in LEAP’s education and knowledge transfer activities.

Full details and to apply: https://academic.careers.columbia.edu/#!/93731

Please note that the job description emphasizes geoscience and glaciology knowledge, but we are interested in anyone who has AI/ML and physics experience and interest in climate science.

Feel free to reach out if you would like more information. I would love to hear from you and talk about the exciting field of glaciology: j.kingslake@columbia.edu

more details:

group website: https://pgg.ldeo.columbia.edu/

my personal website: jkingslake.com

group github org: https://github.com/ldeo-glaciology/

group values statement: https://github.com/ldeo-glaciology/group-values