Geospatial Analyst, Geomatics Engineering

This full-time, approximately 6-month fixed-term position seeks a Geospatial Analyst to process airborne gravity and magnetic datasets for a research project on gravity- and magnetic-aided navigation. Responsibilities include data organization, processing, and simulation using scientific programming languages like Python or MATLAB, with a Bachelor's degree in a relevant field and experience with geospatial data processing being key requirements.

• Obtain, organize and catalogue the AER/AGS airborne gravity and magnetic datasets and associated metadata.
• Convert source files as required, verify units and coordinate/reference systems, identify missing or inconsistent records, and perform documented quality-control checks on line and gridded data.
• Execute PI-defined geodetic processing workflows to produce navigation-relevant gravity products.
• Tasks may include normal-gravity/free-air reduction, terrain-effect processing using digital elevation models, removal/restoration of long-wavelength global-model components, interpolation/gridding, crossover or residual analysis, and preparation of gravity disturbance/anomaly products in standardized formats.
• Analyze the released airborne magnetic data, verify or apply standard reference-field/levelling and coordinate transformations where required by the supplied products, perform quality checks, and generate consistent gridded magnetic-anomaly products suitable for comparison and navigation simulations.
• Bring gravity and magnetic products onto common spatial reference, resolution and file conventions.
• Identify areas of overlapping coverage
• compare gravity results with available terrestrial benchmarks and reference models as directed by the PI
• calculate summary statistics and uncertainty/quality indicators.
• Adapt and execute PI-provided or open-source computational workflows for synthetic map-matching navigation.
• Generate representative trajectories and sensor/INS error scenarios, and run gravity-only, magnetic-only and combined gravity-magnetic simulations in areas with suitable overlapping coverage using methods such as ICCP and, where applicable, EKF-based estimation.
• Evaluate positioning error and sensitivity to map resolution, sensor noise, trajectory geometry and coverage. Produce quantitative comparison tables, maps and plots for the PI, including comparisons between processed high-resolution reference fields and legacy/reference products where requested.
• Deliver organized processed datasets and grids (for example GeoTIFF, ASCII/CSV and/or Geosoft-compatible formats as appropriate), documented scripts, configuration files, metadata, processing logs and concise technical notes sufficient for the workflows to be reproduced by the research team.
• Provide regular progress updates, flag data or software issues promptly, maintain version-controlled code/data organization where appropriate, and prepare figures, tables and documented findings that may be used in project reports, presentations and research publications.

• Application Deadline: October 15, 2026
• Bachelor's degree in Geomatics Engineering, Geophysics, Geodesy, Earth Sciences, Engineering, Computer Science, or a closely related field
• A diploma in GIS, geomatics, information technology, computer science, or a related technical field, together with at least two years of relevant experience, will be considered.
• Experience with geospatial data processing, scientific programming (e.g., Python or MATLAB), and large spatial datasets is an asset.
• An equivalent combination of education and relevant technical experience will be considered. A graduate degree is an asset but is not required.
• Demonstrated experience with numerical and geospatial data analysis using Python and/or MATLAB, including scripting, data transformation, visualization and quality control.
• Working knowledge of GIS/geospatial software and spatial reference systems. Experience with Geosoft Oasis Montaj, QGIS, GDAL or comparable geoscience/geospatial tools is an asset.
• Knowledge of gravity and/or magnetic data processing, gridding/interpolation, filtering or spectral analysis. Familiarity with physical geodesy procedures such as normal gravity, gravity disturbances/anomalies, terrain effects, remove-compute-restore processing, validation and uncertainty assessment is an asset.
• Familiarity with inertial navigation, map matching, Kalman filtering, ICCP or related navigation-simulation methods is an asset.
• Ability to work with large datasets and maintain organized, reproducible workflows. Experience with Linux, high-performance computing and version-control tools is an asset.
• Strong attention to detail and ability to document technical procedures, communicate results clearly, and work effectively with the PI and research team.