[Remote] Geospatial Analyst Resident

Note: The job is a remote job and is open to candidates in USA. SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The Geospatial Analyst Resident will conduct cutting-edge research in geospatial data integrity and its impact on navigation systems, while working with a small engineering team developing novel Magnetic Navigation systems.

Responsibilities

• You will be responsible for characterizing and calculating map errors using state-of-the-art geospatial analysis, specifically focusing on magnetic anomaly maps
• You will perform detailed trade studies on regional effects, map quality, and flight profiles to determine their impact on navigation performance
• You will work with the navigation and geophysics team to integrate geospatial insights into navigation algorithms

Skills

• Currently enrolled in a Master's or PhD program in Geophysics, GIS, Aerospace Engineering, or a related field with a strong background in uncertainty quantification and spatial statistics
• Available for a 6-month residency
• Proficiency in Python
• Familiarity with git-based development and software development best practices
• Exposure to magnetic or other potential-field data is strongly preferred
• Ability to work full time hours
• Familiarity with navigation systems and algorithms, including GNSS and INS
• Geostatistics or Gaussian processes modeling
• Spatially correlated error modeling

Benefits

• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
• Retirement savings with company matching
• Paid parental leave
• Inclusive family-building benefits
• Flexible paid time off
• Company-wide seasonal breaks
• Support for flexible work arrangements that enable sustainable performance
• Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs

Company Overview

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