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Postdoctoral Research Scientist

Columbia University
United States, New York, Palisades
61 Route 9W (Show on map)
Oct 29, 2025

The Lamont-Doherty Earth Observatory of Columbia University invites applications for a Postdoctoral Research Scientist position in Computional Mineral Physics. The position is part of the National Science Foundation (NSF) funded project "Machine Learning Serpentines".

The successful candidate will be an experienced computational materials physicist or scientist with advanced skills in scientific computing and materials simulations. Expertise in materials theory, first-principles modeling, and high-performance computing is essential. Experience with free energy and elasticity calculations is highly desirable but not required.

A primary goal of this project is to develop a database of thermdynamic and thermoelastic properties of serpentine phases for use in geophysical modeling, particularly for interpreting seismic tomography models of subduction zones. The project involves regular collaboration with seismologists and offers an opportunity to work across disciplinary boundaries.

Candidates should have recently completed or be nearing completion of a Ph.D. in Computational Mineral/Materials Physics, Materials Science, or a closely related field. Possess a strong record of research in computational methods applied to materials and mineral physics. Demonstrated ability to work collaboratively across disciplines.

The position is initially funded for one year, with possible extensions of up to two and a half years, contingent on performance and funding availability.

The position will be posted for at least 30 days after the ad appears and will remain open until the position is filled.

Columbia University benefits accompany this Officer of Research appointment.

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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