Multi-GNSS Data Analyst

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