Description
JOB DESCRIPTION: The NASA Land Information System (LIS; http://lis.gsfc.nasa.gov ) team seeks a research scientist to contribute to the development of hydrological modeling capabilities within LIS. The candidate is expected to lead the implementation of enhancing hydrological models, support of required parameters, benchmarking, and model verification. In addition, the candidate is expected to assist in the development of data assimilation capabilities to enable the utilization of datasets from missions such as SWOT (surface water ocean topography). The individual will be encouraged to present results in peer-reviewed publications and scientific meetings. Experience in organizing meetings, project coordination, and writing and reviewing technical reports is also expected.
Qualifications
The candidate should have experience in land surface hydrology and programming with Fortran. Experience in building or working with different Earth system components, and a good knowledge of working with satellite datasets are desired. It is desirable that the incumbent has a Phd in atmospheric science, geophysics, hydrology, or related discipline. In addition to Fortran, proficiency with C language, Unix and multiprocessor environments and understanding of MPI is required.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site. REQNUMBER: 2412626
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