Postdoctoral Fellow

Postdoctoral Fellow

(Atmospheric Scientist for Machine Learning Applications Researcher)




This Postdoctoral Fellowship is a 12-month position with a flexible start date that will commence between October 2019 and December 2019. A 1-year renewal may be possible contingent upon performance and funding.  The Cooperative Institute for Research in the Atmosphere (CIRA) with Colorado State University seeks to fill a professional scientific research position designed to conduct collaborative research with the National Oceanic and Atmospheric Administration (NOAA) located at the Earth System Research Lab (ESRL), Global Systems Division (GSD), Advanced Technology Branch in Boulder, CO. The office for this position will be in Boulder, CO at a federal facility and requires the ability to pass a Tier One Background Check (federal background check) for building access.


The individual in this fellowship will collaborate with the GSD machine learning science group and sponsors, along with the CIRA machine learning science team located in Fort Collins, Colorado. The individual in this fellowship will report to the Principal Investigator and help with both understanding and improving applications of machine learning (ML) towards improvement of environmental modeling.  This is an exciting high-impact position that would provide a great opportunity for a motivated researcher to push the boundaries of ML research in several weather/climate applications, and includes a stimulating blend of activities.  He/She will work with machine learning applications to develop, test, and improve them for different aspects of environmental modeling.  Applicants will be expected to establish strong partnerships with both CIRA research staff and sponsors.


For complete position announcement and qualification requirements, visit: . Full consideration date is 11:59 PM MDT, September 15, 2019. References will not be contacted without prior notification of candidates. Please utilize the cover letter to address the “Required and Preferred Qualifications” as relate to your professional experience.