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technologies that benefit producers, researchers, and communities. Skills / Knowledge / Abilities Handling remote sensing data using GIS Coding machine learning algorithms Effective communication and
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policy, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google
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, Python, GIS, image analysis or remote-sensing software is an asset • Self-motivated, independent and collaborative mindset, with a high level of rigor for academic research • Excellent
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will form the basis for assessment: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis
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Research Fellow to help build a new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing , while also advancing research
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their societal implications, supported by approaches such as GIS, remote sensing, and environmental modelling. The post offers an opportunity to strengthen the School's geoscience capacity and contribute
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and operational guidelines. The role requires expertise in hyperspectral imaging, chemometrics, and remote sensing data analysis, as well as proficiency in ENVI and specialized hyperspectral
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Associate Department of Earth and Environmental Sciences Irving K. Barber Faculty of Science UBC Okanagan The Fire Ecology and Remote Sensing Lab in the Department of Earth and Environmental Sciences at the
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Associate to join the Next-Generation Forest Inventory (NextGen-FI) project, developing advanced AI and remote sensing methods for forest monitoring and illegal logging detection. Working at the
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interdisciplinary research in remote sensing, GIS /GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational