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Field
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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within the past 3 years in Environmental Science, Geography, Computer Science, Atmospheric Sciences, or related field. Advanced GIS and geospatial computing expertise. Demonstrated commitment and ability
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with STATA, R, Python or related statistical software. GIS expertise is ideal. Application Process Please submit an online application and attach the following documents: Short statement of research
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. PhD degree in Hydrology, Environmental Science, Civil Engineering, or a related field. Experience with hydrological models (e.g., SWMM, HEC-RAS, Delft-FEWS, CityCAT). Proficiency in GIS tools, remote
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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programming language (e.g., Python, MATLAB, R), proficiency in GIS or other geospatial software, preferably field work experience for data collection (survey and damage assessment), and an interest
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support PI’s research and education activities to enhance environmental, soil, water quality, microclimate monitoring, Geographic Information System (GIS), and remote sensing research programs as part of
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following software programs (e.g., R, Stata, Python, GIS); Have strong organizational and communication skills. Preferred Qualifications Experience with survey design and impact evaluations in emerging
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at the time of application is accepted, but Ph.D. is required by the start date. • Candidate must have experience using GIS and remote sensing software and satellite data products in analyzing glacial lakes