Atmospheric Properties; Aerosol Algorithms

Atmospheric Properties (Aerosol Algorithms) - (322)

Job Title

Atmospheric Properties (Aerosol Algorithms)

Location

COLLEGE PARK, MD, MD 20740 US (Primary)

Category

Scientist

Job Type

Full-Time

$80,000

$100,00

Education

Bachelor's Degree

Security Clearance Required

None

Job Description

• Employment Category: Full-Time/Regular
• Location: NCWCP College Park, MD
• Travel :
  Some travel may be required both locally and domestically by car or plane
• Security Clearance: None
• Salary: Depending on Experience

Job Description:

STC supports NOAA NESDIS’s Center for Satellite Applications and Research (STAR) by providing scientific, engineering, and programmatic expertise across satellite algorithm development, calibration/validation, data product generation, and technology transition. Our team helps NOAA accelerate the delivery of high-quality environmental data products from current and next-generation satellite systems to users worldwide.

These efforts support the Atmospheric Composition, Atmospheric Temperature, and Atmospheric Water Vapor Geophysical Product Categories in the NESDIS Level 1 Requirements Document, to include the efforts of the Aerosols and Atmospheric Composition, Ozone, and Soundings STAR Science Teams. Accordingly, requirements include conducting

• Research, analysis, and development.
• Testing, upgrades, enhancements, improvements, and troubleshooting.
• Validation, verification, and soft calibration.
• Reprocessing; and
• Deliveries, implementation, and maintenance for operational algorithms, some of which interface with Air Quality (AQ) models.

STC is seeking highly motivated and talented scientists across all levels to support the following support activities for Atmospheric Sciences & Technology Applications (ASTA 2.0) Atmospheric Aerosol Algorithm Team to

• Develop aerosol algorithms for Environmental Data Record (EDR), Aerosol Optical Depth (AOD) and Metop-SG AOD/Aerosol Particle Size (APS)
• Generate special aerosol data sets for research and development leading to operations and complete assessment of multi-year VIIRS, EPS SNPP, NOAA-20 and NOAA-21 AOD data sets
• Ensure and enhance the high quality of NOAA aerosol EDR algorithms
• Evaluate and deliver all enterprise AOD algorithms and products into ASSISTT
• Evaluate merits of TEMPO/PACE aerosol data for improving VIIRS AOD retrieval.
• Support activities pertaining to fully validated maturity levels of GOES-19 AOD and APS products

• Bachelor’s Degree or higher in Astronomy, Atmospheric Sciences, Chemistry, Climatology, Environmental, Geology, Materials Science, Meteorology, Oceanography, Physics, Space Applications, or related field.
• Strong troubleshooting and problem-solving abilities in a data-intensive environment.
• Demonstrated experience with aerosol retrievals, scientific code development, remote sensing data analysis/processing, data visualization using analysis software such as Python, Mat Lab, IDL, Fortran and C++, or similar tools.
• Ability to work collaboratively within a team environment.
• Excellent communication and presentation skills for technical reviews and team coordination.
• The ability to develop and maintain science applications in cloud-based operating environments is required in support of the NOAA-NESDIS 5-year plan to migrate to a cloud-based production and development environment.
• Proficiency in radiative transfer, remote sensing, and scientific programming.

Desired Experience/

Skills:

• Relevant experience in Artificial Intelligence (AI)/Machine Learning (ML) applications
• Relevant experience in satellite data applications, satellite operation, or satellite sensor calibration and characterization, etc.
• Peer-reviewed publication or oral presentation at major science conferences. Familiarity with AWS or similar cloud computing platforms for data processing.

We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.