- Postdoctoral Researcher
Please see below an ad for another post-doc position in the Polar Geophysics Group at Lamont-Doherty Earth Observatory
Postdoctoral Research Scientist in glaciology and machine learning
The Lamont-Doherty Earth Observatory (LDEO) of Columbia University invites applications for a Postdoctoral Research Scientist to conduct research in the fields of glaciology and climate data science. The successful candidate would join a project aimed at using machine learning and artificial intelligence to emulate ice flow physics in ice sheet models. The project team consists of Jonathan Kingslake (LDEO), David Porter (LDEO), Robin Bell (LDEO), and Laure Zanna (New York University). 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.Qualifications
- Either a PhD in geophysics with some experience of machine learning, or a PhD in machine learning/applied mathematics/statistics and a strong interest in applying machine learning to geophysics, specifically, glaciology
- Mathematical modeling
- Scientific computing (e.g., MATLAB, Python, etc.)
- Publishing peer-reviewed publications
- Modeling ice flow with physics-based models
- Using machine learning algorithms to describe physical processes
- Advanced scientific computing (e.g., scientific Python packages, high-performance computing, cloud computing, big data analysis, algorithm development)
We accept online applications only (here).
Please feel free to reach out to any of the project team with informal inquiries.