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Postdoctoral Fellow - Data Assimilation and Machine Learning Scientist (22-106)

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New member
The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU), located on the CSU Foothills Campus approximately 5 miles northwest of CSU main campus, seeks to fill a postdoctoral fellowship in April/May 2022 as part of a National Science Foundation (NSF) award to train a new scientist in data assimilation and machine learning techniques. This fellowship is intended for persons who have recently completed their Ph.D and may last up to 18 months contingent upon NSF funding availability. The individual in this position will serve as a member of the CIRA data assimilation group and will test the robustness of machine learning techniques to identify the links between non-Gaussian distributions and different atmospheric scale dynamics, convert the hybrid version of WRF-GSI(JEDI) to have a non-Gaussian component, and assess the robustness of new non-Gaussian based ensemble systems along with advancing the development of a new version of the Maximum Likelihood Ensemble Smoother.

Applications will be accepted until the position is filled; however, to ensure full consideration applications should be submitted by 11:59 PM MT on Sunday, March 13, 2022. References will not be contacted without prior notification of candidates. Find more detail about this position and apply electronically by clicking “Apply to this Job” at the following website:

NOTE: In your cover letter, please specifically address the required and preferred qualifications of this position. A cover letter that fails to address the required and preferred qualifications of this position may not be further considered after review by the search committee. CSU is an EO/EA/AA employer and conducts background checks on all final candidates.