GalaxEye

<html><body><span id="spandesc"><p>GalaxEye Space is building the next generation of Earth Observation (EO) satellites with a unique multi-sensor payload integrating Synthetic Aperture Radar (SAR, X-band) and Multi-Spectral Imager (MSI) capabilities. Our mission is to deliver unprecedented, high-fidelity, all-weather, all-time data products. High-precision coregistration serves as the foundation for our flagship SyncFused product (SAR + MSI fusion).<br/><\/p></p><h3><b>Role Overview<\/b><br/><\/h3></b></h3><p>We are seeking a highly skilled and motivated <b>Data Coregistration Scientist<\/b> to lead research, development, and implementation of advanced algorithms for high-precision multi-sensor data coregistration. This role ensures spatial and temporal alignment of SAR and MSI data, preserving geometric and radiometric integrity for our premium fused data products. The ideal candidate is strong in sensor physics, geometric modeling, and coding.<br/><\/p><h3><b>Key Responsibilities<\/b><br/><\/h3><h4><b>1. Multi-Sensor Coregistration x26amp; Geometric Integrity<\/b><br/><\/h4><ul><li><p>Design and implement high-precision coregistration algorithms for multi-modal sensor data.<br/><\/p><\/li></p></li><li><p>Address geometric distortions and radiometric normalization challenges inherent in SAR and MSI datasets.<br/><\/p><\/li></p></li><li><p>Develop robust pipelines for georeferencing, orthorectification, and co-registration across large areas.<br/><\/p><\/li></p></li><li><p>Collaborate with sensor and ground-segment teams to define and execute Cal/Val procedures.<br/><\/p><\/li><\/ul></p><h4><b>2. Data Preparation for Fusion<\/b><br/><\/h4><ul><li><p>Build automated pipelines for geometrically and radiometrically corrected multi-sensor datasets.<br/><\/p><\/li></p></li><li><p>Develop resampling and projection methods that preserve sensor-specific characteristics.<br/><\/p><\/li></p></li><li><p>Continuously refine methods to maximize spatial and temporal alignment accuracy.<br/><\/p><\/li><\/ul></p><h4><b>3. Algorithm Development x26amp; Validation<\/b><br/><\/h4><ul><li><p>Write clean, optimized, scalable code suitable for cloud-based deployment.<br/><\/p><\/li></p></li><li><p>Design and run rigorous validation experiments to quantify accuracy and reliability of outputs.<br/><\/p><\/li><\/ul></p><h4><b>4. Documentation x26amp; Collaboration<\/b><br/><\/h4><ul><li><p>Maintain detailed technical documentation of algorithms, methodologies, and validation results.<br/><\/p><\/li></p></li><li><p>Stay updated with advancements in remote sensing, geometric modeling, and sensor research.<br/><\/p><\/li></p></li><li><p>Collaborate with Data Fusion Scientists, Remote Sensing Analysts, and Software Developers for pipeline integration.<br/><\/p><\/li><\/ul></p><div><br/><\/div><\/span><br/><span id="spanreq"><h3>Requirements<\/h3></h3><p><br/><\/p></p><div><b>Education:<\/b><br/><\/div><div>Bachelor’s, Master’s, or Ph.D. in Remote Sensing, Geoinformatics, Electrical Engineering, Computer Science, or a related field.<br/><\/div><div><br/><\/div><div><b>Experience:<\/b><br/><\/div><div>1+ years of hands-on experience in remote sensing data processing, geometric modeling, or image registration.<br/><\/div><p><b>Technical Expertise:<\/b><br/><\/p><ul><li><p>Strong understanding of SAR data processing (speckle reduction, radiometric correction, geometric modeling).<br/><\/p><\/li></p></li><li><p>Experience with geometric and feature-based image registration techniques for multi-modal data.<br/><\/p><\/li></p></li><li><p>Expert proficiency in Python (NumPy, SciPy, Pandas, GDAL/Rasterio, Scikit-image/OpenCV).<br/><\/p><\/li></p></li><li><p>Knowledge of sensor models (RPCs, rigorous models) and advanced georeferencing techniques.<br/><\/p><\/li></p></li><li><p>Experience with parallel or distributed computing is a strong plus.<br/><\/p><\/li><\/ul></p><h3><b>Preferred Qualifications<\/b><br/><\/h3><ul><li><p>Experience using computer vision or deep learning for automated feature matching/registration.<br/><\/p><\/li></p></li><li><p>Publications or project contributions in multi-sensor geometric correction or coregistration.<br/><\/p><\/li></p></li><li><p>Familiarity with EO tools such as SNAP or ENVI.<br/><\/p><\/li><\/ul></p><div><br/><\/div><\/span><br/><span id="spanben"><h3>Benefits<\/h3></h3><li><p>Competitive compensation<br/><\/p><\/li></p></li><li><p>Health insurance<br/><\/p><\/li></p></li><li><p>Flexible working hours<br/><\/p><\/li></p></li><li><p>Opportunity to work on cutting-edge space technology<br/><\/p><\/li></p></li><li><p>Inclusive and innovative work culture<br/><\/p><\/li></p><div><br/><\/div><\/span><br/></div></li></span></div></li></ul></b></h3></li></ul></b></p></div></b></div></div></div></b></div></span></div></li></ul></b></h4></li></ul></b></h4></li></ul></b></h4></li></ul></b></h4></b></h3></b></p></span></body></html>

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