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Qualifications 1. A PhD in Physical Geography, Ecology, Remote Sensing, or a related discipline (preferably within three years of completing the PhD). 2. Knowledge of the key processes governing
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1st August 2026 Languages English English English PhD Research Fellow in Vision-Language Models in Remote Sensing Apply for this job See advertisement About the position A fixed-term 100% position
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. in Climate Science, Atmospheric Science, Environmental Science, Computer Science, AI/Data Science, Remote Sensing, Urban Sustainability, or a related field. Experience with Linux-based high-performance
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passive remote sensing.”. ** According to the European Framework for Research Careers Applicants should have: A Bachelor’s degree in Physics and a Master’s degree in Environmental Physics, Meteorology
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in electrical and electronic engineering, communication engineering, signal processing, radar engineering, remote sensing, or related discipline. Strong publication record and hands-on experience in
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Futures Observatories and remote sensing products to evaluate model performance and diagnose deficiencies. Comparisons to model predictions using the Cold Regions Hydrological Model, Canadian Hydrological
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countries in Southeast Asia, that are supported by the EOS Centre for Geohazard Observations, as well as a Remote Sensing Lab (EOS-RS). Computational resources are available through a dedicated cluster and
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Hydrology, Computing, Earth science or a related field Proficiency in remote sensing, geographic information systems, and statistics Proficiency in programming with Python, R, and Google Earth Engine Minimum
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field measurements, data analysis, and model development, in collaboration with a broader interdisciplinary project team working on sediment dynamics, restoration monitoring, remote sensing, and blue
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, mangrove, and terrestrial forests. The role will involve integrating field inventory data with multiple remote sensing datasets (e.g., optical, radar, and LiDAR) to support modelling, data analysis, and