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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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areas is preferred: Autonomous Robotic systems Planning and Navigation Robot vision Familiarity with ROS, sensors, and hardware integration Additional Certifications: Additional Information: The research
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, with particular emphasis on the core areas of semiconductor microelectronics, integrated circuits (IC), sensors, wide bandgap devices, power electronics and power systems, radio frequency integrated
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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
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foundations for emerging technologies. Graduates will be well versed in object-oriented and scripting languages, knowledgeable about the hardware and hardware descriptive languages, sensors, and communication