Geophysicist

SBQuantum•Sherbrooke, QC

2d•Hybrid

About The Position

SBQuantum is a seed-stage startup at the forefront of magnetic sensing innovation. Our vision is to unlock the full potential of magnetic intelligence through our proprietary quantum diamond technology and curated algorithms. By combining diamond-based quantum sensors with advanced AI-driven software, we transform complex magnetic field data into actionable, high-value insights. Our solutions enable accurate magnetic mapping, navigation and object detection in environments where traditional sensing technologies—like GPS, radar, imagery, or sonar—cannot perform. From public safety and defence to space exploration, our multidisciplinary team of engineers, physicists, and data scientists is redefining how the world perceives magnetic signals—turning invisible complexity into clear, useful intelligence.

Requirements

5 years of experience in a startup environment
Background in magnetic map processing
Experience in autonomous platforms deployment
Comfortable wearing multiple hats and switching contexts quickly
Strong problem-solver with a bias toward action
Excellent communication skills (written and verbal)
Experience with Geosoft/MiraGeophysics/SimPeg and custom Python code

Nice To Haves

Experience in deeptech, hardware, or scientific environments
Familiarity with compliance, grants, or government processes
Bilingual English/French

Responsibilities

Magnetic field mapping & survey design - Plan and execute surveys to produce total-field, vector, and gradient magnetic maps for navigation applications, selecting appropriate sensor configurations, flight/traverse parameters, and tie-line strategies to meet required spatial resolution and coverage.
Data processing & geophysical software - Process raw magnetic data through established workflows in Geosoft Oasis Montaj and equivalent geophysical toolchains, including diurnal correction, IGRF removal, levelling, microlevelling, gridding, and filtering
Research-level modelling with SimPEG & Python - Apply open-source inversion and forward-modelling frameworks (SimPEG, discretize) alongside custom Python pipelines for advanced susceptibility modelling, potential field transforms, and algorithm development. Leverage these tools to simulate and compare different types of magnetic maps.
Data QA - Continuously monitor and evaluate data quality throughout acquisition and processing; identifying noise sources, sensor anomalies, heading errors, and tie-line mismatches. Maintain rigorous QA/QC documentation to ensure map integrity for navigation use.
Field trial coordination & adaptive survey management - Coordinate and lead field campaigns; liaising with platform operators, logistics teams, and navigation engineers; while interpreting data in real time and making informed decisions to adjust survey plans dynamically in response to coverage gaps or environmental conditions.
Gridding, interpolation & map product delivery - Apply and evaluate gridding algorithms (minimum curvature, kriging, bi-directional) and potential field enhancements (RTP, upward continuation, derivatives) to produce calibrated, georeferenced map products formatted for direct ingestion into navigation systems.
Cross-disciplinary collaboration & critical interpretation - Work closely with INS/navigation engineers to translate geophysical map outputs into fit-for-purpose navigation datasets, critically interpreting ambiguous magnetic signatures, flagging geological noise sources, and iterating on map specifications as system requirements evolve.