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methods. Expertise in coastal landscape ecology, hydrology, and/or geomorphology. Experience analyzing large, heterogeneous environmental, geospatial, remote-sensing, or time-series datasets. Contact
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, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Develop and apply AI/ML methods to integrate heterogeneous geospatial, remote-sensing, hydrological
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a