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ERT · 1 day ago

Scientific Programmer - Global Navigation Satellite System (GNSS) Radio Occultation (RO) Data Processing

College Park, MD

Full-time

Hybrid

Mid Level

$83K/yr - $239K/yr

3+ years exp

ERT is seeking a highly skilled and motivated scientific programmer to support Global Navigation Satellite System (GNSS) Radio Occultation (RO) data processing, cloud migration, and validation. The role involves algorithm development, data processing and analysis, cloud migration, data validation, and preparation of technical reports and presentations.

AnalyticsBusiness DevelopmentInformation TechnologyInternetSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Collaborate with the team to develop radio occultation Level-0 data decoding and unpacking module from satellite telemetry data and refine algorithms for GNSS radio occultation L1A, L1B and to L2 processing modules

Conduct data processing and analysis of GNSS radio occultation data to obtain precise measurements of excess phase, bending angle, and refractivity

Develop and test scalable, parallelized RO processing modules to accommodate growing RO missions, data volumes and support operational RO data production with minimal latency in the Cloud environment; develop and customize the software modules as needed to enable successful migration and optimal performance in the Cloud environment

Verify the accuracy and reliability of processed GNSS radio occultation data through rigorous validation procedures

Ensure the consistency and integrity of RO data results, and meet the data product release guidelines and criteria for the release of the data to users and the public

Work closely with other team members to support collaborative projects, contributing your expertise in GNSS radio occultation processing and its applications in atmospheric and ionospheric science

Prepare comprehensive technical reports and presentations to effectively communicate research findings and project progress to internal and external communities

Qualification

GNSS radio occultation processingFortranC/C++PythonData validationCloud migrationAtmospheric scienceAnalytical skillsProblem-solving skillsCommunication skillsInterpersonal skills

Required

3+ years of related work experience with proven experience in processing GNSS radio occultation data, specifically Level-0 telemetry data decoding and unpacking, from L1A and excess phase processing, to bending angle and refractivity

Skills and experiences with GNSS data analysis software and programming languages (e.g., Fortran, C/C++, Python, or similar)

Demonstrated expertise in atmospheric science research and a solid understanding of relevant concepts related to radio occultation and atmospheric profiling

Strong analytical and problem-solving skills, with the ability to critically assess data and develop innovative solutions to challenges in GNSS radio occultation processing

Excellent communication and interpersonal skills, with the ability to work collaboratively in a multidisciplinary team environment

Must be a US Citizen or Permanent Resident and be able to pass a background investigation to obtain a security badge to enter the applicable government facility

PhD in Atmospheric Science, Remote Sensing, or a related field with a strong focus on GNSS radio occultation data processing

Preferred

A track record of publishing research results in peer-reviewed journals and conferences related to GNSS radio occultation processing and atmospheric science will be an advantage