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, and sensor networks. Manage seasonal field operations, including planting, plot maintenance, irrigation, treatment imposition, sampling, and harvest. Collect plant physiological, phenotypic, and
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design, prototyping, algorithm development and testing, manuscript preparation, mentoring, and lab management. The selected candidate may engage in other activities such as grant proposal development
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systems for sensor control, data acquisition, and wireless communication Integrate electronic hardware with wearable or implantable biosensors Conduct device characterization, troubleshoot technical
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. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science. The department has an active research community
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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the newest units at MSU. Founded in 2015, CMSE recognizes computation as the “triple junction” of algorithm development and analysis; high performance computing; and applications to scientific and
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using diverse data sources, including field-collected biological samples, on-farm sensor data, artificial intelligence–derived outputs, and video-based analytics, to support disease surveillance and
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Requirements Required experience includes: Significant experience implementing high performance sensor fusion and state estimation algorithms in real systems using, e.g., Kalman filters, particle filters, etc
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implement geospatial models, across multiple scales, that integrate the analysis of remote sensing data, vegetation data, climate data, soil-sensor data, and other relevant spatial datasets to conduct