29 Computational-Fluid-Dynamics positions at Princeton University

Seasonal to Decadal Variability of Extreme Precipitation Events Associated with Tropical Cyclones

The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientists

Seasonal to Decadal Variability of Extreme Precipitation Events Associated with Tropical Cyclones

The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientists

Postdoctoral Research Associate

, biogeochemical models, and machine learning. The ideal candidate will have a background in ocean modeling, but candidates with the necessary background in ocean biogeochemistry and/or geophysical fluid dynamics

Postdoctoral Research Associate - Interfacing machine learning with climate models

c) experience, or demonstrated interest, in machine learning. Candidates must have a Ph.D. and preferably in oceanography, geophysical fluid dynamics, computer science, or a closely related field

Postdoctoral Research Associate

, Revisiting wind wave growth with fully-coupled direct numerical simulations, J. Fluid Mech. 951 [2022] A18); and/or iii) small-scale wave dynamics in the context of remote sensing and the effect of waves and

Open Rank Faculty Position

member of the Program in Atmospheric and Oceanic Sciences, a joint program between the Department of Geosciences and the NOAA Geophysical Fluid Dynamics Laboratory. Applicants should submit a curriculum

Postdoctoral Research Associate - StratosphericClimate Modeling

. Larry Horowitz (https://www.gfdl.noaa.gov/larry-horowitz-homepage/) and Vaishali Naik (https://www.gfdl.noaa.gov/vaishali-naik-s-homepage/) at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL

Postdoctoral Research Associate

, Monte Carlo simulations, statistical mechanics, fluid mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins and nucleic acids), coarse-grain and

Postdoctoral Research Associate - Interfacing machine learning with climate models

c) experience, or demonstrated interest, in machine learning. Candidates must have a Ph.D. and preferably in oceanography, geophysical fluid dynamics, computer science, or a closely related field

Improving Ocean Surface Boundary Layer Mixing Parameterizations using Machine Learning

The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior scientist to