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collective negotiations agreements, this position requires a fully on-site work arrangement and may be eligible for a compressed workweek or a flex workday schedule. Flexible work arrangements are not
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, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling
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and groups feel welcomed, respected, supported, and valued. Qualified applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning workplace
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agreements, this position requires a fully on-site work arrangement and may be eligible for a compressed workweek or a flex workday schedule. Flexible work arrangements are not permanent, are subject to change
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NSF, FEMA, DHS, and other local agencies. They will lead research activities involving harnessing and synthesizing the latest developments in artificial intelligence, remote sensing, and simulation and
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for flood risk estimation, and prototyping flood monitoring and forecasting procedures at very high spatial resolution. The candidate will collaborate closely with the Remote Sensing and Hydrology lab and the
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team and complete projects without constant supervision. Understanding the complexity of ecological data sets and the analysis thereof is essential to the project. Also, the integration of remote sensing