Multi-GNSS Data Analyst

Science Systems and Applications, Inc (SSAI) is seeking an experienced and skilled Multi-GNSS Data Analyst. The successful candidate will be responsible for processing, analyzing, and validating Multi-GNSS data in support of precision positioning, navigation, and timing (PNT) applications. This role requires deep technical expertise in GNSS measurement processing, error modeling, and geospatial data analysis, with a strong focus on delivering high-accuracy positioning solutions for scientific and engineering applications.

Key Responsibilities:

GNSS Data Processing & Analysis

• Process raw Multi-GNSS observations using precise point positioning (PPP), Post-Processed Kinematic (PPK), reduced dynamic, differential, undifferenced, and relative positioning techniques
• Perform static, kinematic, and reduced dynamic Multi-GNSS data processing for ground-based, spaceborne, and airborne platform precise positioning and clock solutions including GNSS space vehicles, ground stations, and LEO geodetic satellites
• Perform Multi-GNSS data processing in support of Earth Orientation Parameter (EOP) and reference frame solutions
• Application and improvement of corrections for tropospheric delay, ionospheric delay, multipath, and other systematic error sources
• Conduct integer ambiguity resolution to achieve centimeter-level positioning accuracy

Quality Assessment & Validation

• Assess Multi-GNSS solution quality using statistical metrics, residual analysis, and independent validation datasets
• Identify and mitigate systematic errors, outliers, and data gaps in Multi-GNSS observations
• Compare Multi-GNSS-derived positions against ground truth and independent reference datasets
• Document data quality issues and develop strategies for improvement

Integration & Geolocation

• Integrate GNSS and IMU/INS data for precise platform positioning and attitude determination
• Support geolocation of remote sensing data including laser altimeter measurements

Software & Tool Development

• Develop, maintain, and improve GNSS data processing scripts and workflows using PERL, Fortran, C, Python, and similar languages
• Work with Multi-GNSS processing software such as GIPSY-OASIS, BERNESE, and GEODYN
• Automate data processing pipelines to handle large volumes of Multi-GNSS observations efficiently
• Contribute to the development of data processing documentation and standard operating procedures

Collaboration & Communication

• Collaborate with multidisciplinary teams including scientists, engineers, and project managers
• Present technical results and findings to both technical and non-technical audiences
• Contribute to technical reports, peer-reviewed publications, and conference presentations
• Participate in field campaigns and provide on-site GNSS data collection support as needed

Required Qualifications:

• Bachelor’s (B.S.) degree in Aerospace Engineering, Geodesy, Geomatics, Electrical Engineering, Physics, Computer Science, or a related field.
• Minimum 5 years of experience in GNSS data processing and analysis.
• Strong understanding of GNSS measurement models, error sources, and correction techniques.
• Proficiency in at least one GNSS processing software package (e.g., GIPSY, BERNESE).
• Experience with kinematic GNSS processing for spaceborne and airborne or mobile platforms.
• Proficiency in Python, MATLAB, or C++ for data analysis and automation.
• Familiarity with geodetic reference frames, coordinate systems, and datum transformations.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• U.S. Citizenship or Permanent Residency required.

Desired Qualifications

• Master's or Ph.D. in Geodesy, Geomatics, Navigation, Aerospace Engineering or a closely related field.
• Experience with kinematic and reduced dynamic Precise Orbit Determination (POD) for spaceborne GNSS receivers.
• Experience with precise positioning and clock solutions for GNSS space vehicles and ground stations.
• Experience with Post-Processed Kinematic (PPK), Precise Point Positioning (PPP).
• Experience with integer ambiguity resolution techniques.
• Experience supporting airborne or spaceborne remote sensing missions.
• Knowledge of satellite gravimetry and laser altimetry.
• Familiarity with IMU/INS integration and tightly/loosely coupled GNSS/INS processing.
• Active participation in the geodetic or GNSS research community (pub