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Qualifications Knowledge of Remote sensing of surface water quality, numerical modeling, GIS, leadership and advising skills, teaching, & writing experience. Appointment Type Salary Information $50,000-$55,000
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opportunity to gain teaching experience. The project is well suited to applicants with a strong background in remote sensing, snow science, hydrology, GIS, and/or climate science. Prior remote sensing research
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research in written and oral forms, generating novel ideas for new, interdisciplinary research, working with large, multi-layered spatial data sets (e.g. Remote Sensing and GIS), and contributing
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spatial and temporal information, harnessing remote sensing data, using climate information, and running near-real-time wildfire simulations to design and assess various scenarios for obtaining feasible
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technologies Field, laboratory, or numerical testing of hydraulic structures Geospatial and remote sensing data analysis (e.g., GIS, Google Earth Engine) Machine Learning applications in hydrology/water
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Sciences, Computer Science, or related field upon hire. Experience in Remote Sensing and GIS. Experience in Machine Learning preferably using Python. At least one first authored publication in a referred
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respond to sea level rise, with emphasis on how salt water intrusion impacts coastal forests, farmland, and salt marshes. The primary responsibility of the position is to use remote sensing and long-term
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, and geological research are critical as well as the ability to perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming
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to applying remote sensing and GIS and related spatial techniques to environmental modeling and assessment for water, coastal, ecological, agricultural, natural disasters and public health applications; Impacts