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navigation, trajectory planning, and point cloud mapping; and (3) deploy the developed algorithms on a physical mobile robot operating in GPS-denied, low-light, and geometrically repetitive environments
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data and storage systems. Evaluation of cloud data storage and analysis solutions (e.g., key-value stores, object or document storage, graph analytics systems) deployed on HPC computational and storage
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methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real-time data acquisition and telemetry systems Familiarity with cloud computing
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derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience with geospatial foundation models or pretrained Earth-observation models. Experience with