Computer Science: Programming, Earth and Environmental Sciences: Atmospheric Sciences
Job Description: Science Systems and Applications, Inc. (SSAI) is seeking a skilled research scientist to develop advanced analysis techniques for combining observed data with complex numerical models, in order to derive optimal estimates of the state of the Earth System at the interfaces of the atmosphere with the underlying oceans and ice sheets. The focus is on coupled atmosphere-ocean-ice data assimilation using the Goddard Earth Observing System (GEOS) Earth system model and analysis framework, in collaboration with the Global Modeling Assimilation Office (GMAO) at Goddard Space Flight Center.
This individual will contribute to the development of coupled ocean-atmosphere data assimilation techniques that are incorporated into the GEOS framework using the Joint Effort for Data assimilation Infrastructure (JEDI), to advance the GMAO’s environmental analysis and prediction capabilities. The work involves an ongoing process of collaboration and sharing of research, data, and observations with NASA's satellite observation team and the Global Modeling and Assimilation Office (GMAO) Earth system modeling team. The practical developments from this work will advance the use of satellite observations in the ocean and atmosphere-ocean interface layer of the GMAO's products, including Earth system reanalysis, seasonal forecasts, and weather forecasts.
This position will require effective collaboration in areas important for improving the overall performance of the coupled data assimilation system, including data assimilation techniques, system integration and workflows, and computational efficiencies. This collaboration will include regular interactions with scientists and software engineers in the GMAO and the Joint Center for Satellite Data Assimilation.
Ph.D. Degree in physical science or related field and at least five years of experience working with data assimilation systems
Experience with complex numerical models
Strong skills in Fortran programming and the use of software version control platforms (GitHub)
Experience should include significant work with parallel computing processes, languages, and hardware
Experience documenting system developments and impacts on performance through technical reports and peer-reviewed publications
Ability to present critical research findings at seminars, workshops, or conferences
Experience with object-oriented programming
Programming experience in Python, C++
Familiarity with Agile coding practices
Scientific visualization experience
Familiarity with earth science data formats
SSAI is an Equal Employment Opportunity and Affirmative Action Employer. EOE/Minorities/Females/Veterans/Disabled
Telecommuting is allowed.
Science Systems and Applications, Inc. (SSAI) is a leading provider of scientific, engineering, and IT support for customers seeking new frontiers in science and technology. For more than 40 years, we have been by their side, aligning with their vision and goals to provide research and technical support. We support pioneers in science and engineering—such as NASA and NOAA—and we’ve made significant contributions to more than 150 Earth and space science missions. SSAI’s services are built on our genuine passion for research and innovative solutions. Our expert scientists, engineers, and IT professionals share a commitment to providing solutions for the unique needs of each customer.
Prediction Science Laboratory, RIKEN Cluster for Pioneering Research
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