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Assistant, Associate or Full Professor in Integrative Precision Agriculture with an academic-year appointment at the University of Georgia. This is a university-wide search; successful candidates will select an appropriate home department and college during the interview and appointment process. Areas of interest include: • Sensor Development and Distributed Sensing – e.g., novel soil- or plant-embedded sensors and biodegradable sensor networks for distributed in-situ measurements of agricultural and environmental variables. • Systems Modeling – e.g., predicting root and shoot growth, nutrient and water uptake, host-microbiome interactions, and pest/pathogen spread at field and landscape scales to fine-tune site-specific crop management, optimize yield potential, and minimize environmental impacts. • AI-Enabled Decision Analysis and Data Analytics – e.g., leveraging data from high-resolution images and sensor networks to improve soil, crop, and plant health management decisions at field and landscape scales. • Automation and Actuation – e.g., robotics and imaging technologies for phenomics and precision crop management; smart machinery for belowground seed placement and precision pest management; and accurate detection of biotic and abiotic plant stressors. Job Description
The Precision Agriculture Center at the Department of Soil, Water and Climate, University of Minnesota is seeking applications for two graduate research assistant (RA) positions for pursuing Ph.D. studies with research focus on applications of proximal, UAV and satellite remote sensing, crop growth modeling, and machine learning for crop N and/or water stress diagnosis, precision nutrient management, precision water management and integrated precision crop management. These positions are available from the Spring Semester, 2021, but can also start in the summer of 2021. These positions will pay $26,340 for stipend per year, plus $22,809 for tuition and health insurance. Required qualifications: A M.S. degree in Agronomy, Soil Science, Agricultural or Biosystems Engineering; Experience and proficiency in GIS, remote sensing image analysis, image processing and analysis, proximal and remote sensing for crop and soil mapping; Preferred qualifications: Experience with machine learning analysis, with demonstrated programming skills in Python and/or R; Being able to work independently and as well as collectively in an international and interdisciplinary research team; Strong communication skills; Experience in crop growth modeling is a plus; Experience in thermal remote sensing and data analysis is a plus. Application Contact: Yuxin Miao, ...more