Senior NASA Research Scientist

Key Skills

C Programming, Machine learning techniques, Python Programming, Unix Operating system

Job Description

The NASA Land Information System (LIS; http://lis.gsfc.nasa.gov) team seeks a research scientist to contribute to the development of modeling and data assimilation capabilities within LIS in support of adaptive observing system concepts. The candidate is expected to work on developing hydrological modeling, data assimilation, and forecasting capabilities with the use of remote sensing measurements. The use of machine learning methods to improve the utility of remote sensing data is also expected in this role. The individual will be expected to present results in peer-reviewed publications and scientific presentations.

Qualifications

Required Education and Experience:

• Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience
• The candidate should have experience in data assimilation, land surface modeling, and machine learning.
• A good knowledge of working with satellite datasets and cloud computing, and associated data analytics is a considered plus.
• Proficiency with Fortran, Python, C languages, Unix and multiprocessor environments and understanding of MPI is required.

Desired Qualifications:

• It is desirable that the incumbent has a Phd in atmospheric science, geophysics, hydrology, or related discipline.