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.
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.
Minimum Qualifications:
- Either a PhD in geophysics and some experience of machine learning, or a PhD in machine learning/applied mathematics/statistics and a strong interest in applying machine learning to geophysics and glaciology specifically.
- Mathematical modeling.
- Scientific computing (e.g., Matlab, Python, etc.).
- Publishing peer-reviewed publications.
Desirable Experience:
- Modeling ice flow with physics-based models.
- Using machine learning algorithms to describe physical processes.
- Advanced computational skills (e.g., scientific Python packages, high-performance computing, cloud computing, big data analysis, algorithm development).
Appointment will be for 1-year with continuation pending progress and funding.
The search will remain open for at least 30 days after the ad appears and will continue until the position is filled.
