125 modeling-and-simulation-post-doc Postdoctoral research jobs at Princeton University
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
for this position will work to develop a conservative machine-learning based sea ice model correction that can be applied to fully coupled climate model simulations. The project will involve: 1) the development of a
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Jun-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757). When applied online to global ice-ocean simulations, this neural network substantially improves sea ice simulation
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 07-Aug-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 25-Jul-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Jun-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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The Andlinger Center for Energy and the Environment at Princeton University seeks applications for two interdisciplinary postdoctoral research or more senior research positions to analyze and model
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Dr. Bridgett vonHoldt is seeking to hire a postdoctoral associate (or other senior research) in the areas of evolutionary and ecological analyses of large genome datasets, modelling and simulation
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion