Postdoctoral Research Associate – Princeton University, GFDL
In collaboration with NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL), the Atmospheric and Oceanic Sciences Program at Princeton University solicits applications to its Postdoctoral Research Scientist Program funded by the Cooperative Institute for Modeling the Earth System (CIMES).
The AOS Program and GFDL offer a stimulating environment with significant computational and intellectual resources in which to conduct collaborative or independent research for the modeling, understanding and predictability of the Earth System from weather to centennial time scales. We primarily seek applications from recent Ph.D.s for postdoctoral positions but will accept applications from more experienced researchers. Appointments are made at the rank of Postdoctoral Research Associate or more senior initially for one year with the possibility of renewal for a second year based on satisfactory performance and continued funding. A competitive salary is offered commensurate with experience and qualifications.
We seek applications in all areas of earth system science within the three research themes of CIMES: 1) Earth System Modeling; 2) Seamless prediction across time and space scales; 3) Earth System Science: Analysis and Applications. The broad scope is improved representation of processes in models, high-resolution modeling, and advancing the understanding of the Earth System including its variations, changes, and sensitivity. Current areas of particular interest are:
- Stratospheric chemistry and volcanic aerosols;
- Ice and mixed-phase cloud microphysics;
- Aerosol-cloud-precipitation-radiation interactions;
- Lower atmosphere-surface interactions over land and ocean;
- Ocean dynamics and its role in climate and ocean ecosystems;
- Subseasonal to seasonal predictions of high-impact weather events;
- Decadal projections of regional climate and extremes using large high-resolution climate model ensembles;
- Detection and causal attribution of climate;
- Applications of novel machine learning methods;
- Statistical downscaling and bias correction of model simulations.
Further information about the Program may be obtained from: http://aos.princeton.edu. Applicants are strongly encouraged to contact potential hosts at GFDL and Princeton University prior to application to discuss areas of possible research.
Complete applications, including a CV, copies of recent publications, three letters of recommendation, and a research proposal including the project title, should be submitted by December 15th, 2019 for full consideration. Applicants must apply online to https://www.princeton.edu/acad-positions/position/14241. We would like to broaden participation in earth system scientific research and therefore encourage applications from groups historically under-represented in science. These positions are subject to the University’s background check policy.
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