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and demonstrate a commitment to teaching excellence. We seek applicants with expertise in sport-related data analytics, including business, marketing, social media, performance, and/or geospatial
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Statistics and Geospatial Artificial Intelligence (GeoAI). This is a 9-month, full-time, permanent, tenure-track faculty appointment to begin August 1, 2027, subject to position clearance and
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experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies
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models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies such as GDAL or RioXarray is essential
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infrastructure. Manage ArcGIS and geospatial technology resources. Maintain platform code repositories and technical documentation. Analyze, Visualize, and Communicate Research Data (25%) Manage
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datasets and application of new and existing reach-to-catchment scale models of river dynamics (hydrodynamics, suspended sediment, and/or bedload). What You’ll Do Lead the analysis of geospatial and
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research environment. Qualifications: Applicants must have earned a Ph.D. in wildlife science, landscape ecology, geospatial science, waterfowl ecology, or a closely related field. Preferred qualifications
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: Support with handling, analysis, and processing of ecological data, including geospatial, remote sensing, genetic and other data Retrieval, integration, management, and archiving research data in line
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geospatial data pipeline, discrete-event simulation, cost model and automated test suite. Extend model fidelity in identified areas: vehicle capacity, demand generation, routing, wind and no-fly constraints
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geospatial data pipeline, discrete-event simulation, cost model and automated test suite. Extend model fidelity in identified areas: vehicle capacity, demand generation, routing, wind and no-fly constraints