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.
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.
Columbia University benefits are offered with this Officer of Research appointment.
The Lamont campus values diversity and inclusion, and encourages applications from members of underrepresented minority groups.
Starting base salary is $66,000
We accept online applications only.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
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