High-altitude atmospheric science, modeling and computing

Washington D.C.
Salary will be commensurate with experience
Aug 22, 2019
Sep 21, 2019
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The Space Science Division of the U.S. Naval Research Laboratory in Washington, DC (NRL-DC) is tasked with rapidly developing and validating a new state-of-the-art global numerical model of the neutral atmosphere, extending from the ground to 500 km altitude, for application in high-resolution forecasting for space weather applications. Computational Physics, Inc. (CPI) seeks a self-motivated candidate eager to study upper-atmospheric dynamics and physics relevant to short-term prediction, to develop, implement and test efficient algorithms for these processes, and then to integrate them into the evolving infrastructure of the new model. The successful candidate will join a mixed government and contractor staff at NRL-DC that is developing the new mesospheric and thermospheric components of the model. The candidate will conduct high-resolution model experiments on massively parallel high-performance computers to test and refine new model features. The candidate may also collaborate with other research teams, located at NRL-DC and elsewhere, focusing on lower altitudes, high-altitude data assimilation, and physical coupling to ionospheric models. The work will involve complex, modern, highly scalable Fortran codes, using up to 1 million processors per run. Candidates with interests in learning and applying modern coding practices on new and emerging supercomputing architectures are encouraged to apply. The job location will be either at NRL-DC or at company HQ in Springfield, Virginia. The position is currently open. Salary will be commensurate with experience.


A Ph.D., or equivalent experience, in atmospheric science, computational fluid dynamics, physics, or a related discipline is required.

Strong programming skills are required.

U.S. citizenship is required by the Navy's contract with us.

Experience with high-performance Fortran is desirable.

Knowledge or experience in the area of artificial intelligence and machine learning is desirable.

How to apply

Please send your resume in confidence to the indicated email address. In the subject line, please write "upper atmosphere model". If you wish to provide additional information in a cover email that you believe would be informative for us, please feel free to do so.

                                                  CPI is an Equal Opportunity Employer