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fall and spring semester, the Lecturer will teach at most three sections in our core Computer Science curriculum, including introductory and advanced programming, computer systems, computer algorithms
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validating science algorithms, post-flight calibration and validation, developing field observation databases, science data product development and the fusion of multi-sensor data. There is also the
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that address the grand challenges of our times, and of importance to the Smith School. These include, but are not limited to, artificial intelligence, including algorithmic bias, the spread and mitigation
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Professor rank) in one of the Smith School’s strategic focus areas including: Artificial intelligence (AI) applications in operations management and business analytics; algorithmic bias and responsible AI
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Qualifications: Education: BS in Geospatial Data Science, Geographic Information Science, Computer Science or close equivalent. Experience: Experience developing and optimizing algorithms. Extensive programming