Atmospheric Scientist L2

BACKGROUND

The NOAA Center for Satellite Applications and Research (STAR) is the science arm of NOAA’s Satellite and Information Services, which acquires and manages the nation’s environmental satellites. STAR scientists lead efforts to develop, test, validate, and refine the science algorithms needed to drive user-defined products. They also investigate both enhanced and new sensor technology for future NOAA satellite missions and conduct research to examine which products users will need to carry out NOAA's mission goals. STAR supports the calibration and validation of all data in NOAA's satellite operations and develops new methods for inter-calibrating data from NOAA polar and geostationary satellites with other satellites in the evolving international system. Additionally, STAR collaboratively develops efficient methods and technology to transfer new products from research to operations.

POSITION

Riverside is seeking a junior to mid-level scientist to support NOAA/STAR with knowledge of microwave satellite sensors for exploiting new, advanced, and emerging observing systems for innovative use of satellite data. The work will involve assessing the quality of microwave data against simulated data to evaluate the quality. The work will support the Data Exploitation, Evaluation and Value Assessment (DEEVA) team, which addresses scientific questions related to current and next generation satellite observing systems and architectures.

LOCATION: College Park, Maryland, potential for remote work.

Riverside is an Equal Opportunity Employer offering very competitive compensation and exceptional employee benefits. Individuals interested in joining the Riverside team should apply through the careers section of our website:  

    Minimum bachelor’s degree in remote sensing-related engineering or scientific field with at least 4 years of experience,or a PhD

·         Strong Python coding skills for scientific problem solving and data analytics

·         Experience with high performance computing and/or cloud platforms

• Experience working with large environmental datasets and scientific code is desired
• Experience with AI/ML frameworks such as TensorFlow, Keras, or PyTorch
• Experience working with a diverse set of Earth observations from satellite, in situ, or models

·         Knowledge of satellite data assimilation, numerical weather prediction, and radiative transfer, such as CRTM or RTTOV a plus

• Ability to effectively communicate technical information and work status accurately and reliably to project leads and managers
• US citizenship required. Must be able to obtain and maintain a national agency check and background investigation after hire

LOCATION: College Park, Maryland, potential for remote work.

Riverside is an Equal Opportunity Employer offering very competitive compensation and exceptional employee benefits. Individuals interested in joining the Riverside team should apply through the careers section of our website:  

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development