Scientist – Atmospheric Properties

College Park, GA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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
Citizenship:U.S.
Salary: Depending on Experience

Job Description:

STC supports NOAA NESDISs 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 trouble-shooting.
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 a highly motivated and talented scientists across all levels to support the following support activities for Atmospheric Sciences & Technology Applications (ASTA 2.0) Atmospheric Properties Team to:

Ensure and enhance the high quality of NOAA Unique Combined Atmospheric Processing System (NUCAPS) products processed from satellite-based infrared and microwave sounders. The NUCAPS algorithm is a complex retrieval system that translates the radiance measurements from satellites into meaningful three-dimensional profiles of the Earths atmosphere including temperature moisture and trace gases that are critical to weather forecasting.
Modernize atmospheric microwave and infrared sounding retrieval algorithms including the use of Machine Learning/AI techniques and develop a variety of tools to assess the sounding algorithms quality.
Implement MW/IR retrieval algorithms for new sensors performing optimization/tuning experiments delivering operational ready packages for operational applications and conducting detailed evaluation with relevant data sets for research.

Requirements

Bachelors 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 MW/IR sounding retrievals scientific code development remote sensing data analysis/processing data visualization using analysis software such as Python MatLab 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 1D-Var 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.

DescriptionEmployment Category:Full-Time/RegularLocation:NCWCP College Park MDTravel: Some travel may be required both locally and domestically by car or planeSecurity Clearance: NoneCitizenship:U.S.Salary: Depending on ExperienceJob Description:STC supports NOAA NESDISs Center for Satellite Applica...

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
Citizenship:U.S.
Salary: Depending on Experience

Job Description:

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

Ensure and enhance the high quality of NOAA Unique Combined Atmospheric Processing System (NUCAPS) products processed from satellite-based infrared and microwave sounders. The NUCAPS algorithm is a complex retrieval system that translates the radiance measurements from satellites into meaningful three-dimensional profiles of the Earths atmosphere including temperature moisture and trace gases that are critical to weather forecasting.
Modernize atmospheric microwave and infrared sounding retrieval algorithms including the use of Machine Learning/AI techniques and develop a variety of tools to assess the sounding algorithms quality.
Implement MW/IR retrieval algorithms for new sensors performing optimization/tuning experiments delivering operational ready packages for operational applications and conducting detailed evaluation with relevant data sets for research.

Requirements

Bachelors 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 MW/IR sounding retrievals scientific code development remote sensing data analysis/processing data visualization using analysis software such as Python MatLab 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 1D-Var 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.