PhD Student in Remote Sensing Analysis

Embark on an innovative research journey as a PhD student specializing in remote sensing data analysis at Natural Resources Canada. Contribute to groundbreaking projects while working remotely.

This three-year research affiliate program at Natural Resources Canada allows you to engage in advanced geomatics research. You will acquire and analyze hyperspectral and multispectral datasets, develop AI/ML methods for mineral identification, and apply your knowledge in geospatial analysis. As part of the Geological Survey of Canada, you will make substantial contributions to predictive exploration models.

Key Responsibilities:

• Acquire and organize geological and remote sensing datasets

• Conduct imagery preprocessing and analysis for mineral mapping

• Develop workflows for spectral feature extraction and classification

• Implement AI/ML techniques for data analysis

• Prepare maps and technical figures for reporting

Requirements:

• Master's degree in geomatics or related field

• Enroll in PhD program at University of Calgary

• Background in hyperspectral image classification

• Knowledge of AI/ML algorithms for imagery analysis

• Familiarity with satellite data processing techniques

Apply your expertise in remote sensing and AI/ML techniques to advance research at Natural Resources Canada and contribute to sustainable development.
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