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Field
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relevant to the position. Research Fellow I: PhD from an accredited institution in Agronomy, Crop Science, Soil Science, Agricultural Engineering, Data Science, Remote Sensing, or a closely related field; no
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Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis
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programme of research and collaborate effectively across disciplines. Essential: • A completed PhD in a relevant field (e.g., applied mathematics, statistics, geophysics, remote sensing, physical
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perspectives, 1) remote sensing and geomatics; 2) subsurface data and sedimentary systems; 3) geophysics and shallow subsurface; and 4) geochemistry and geobiology. The analysis work will be supported by a
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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
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to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in Remote Sensing, Agricultural Science, or a closely related
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sensing for environmental assessment, and water resources engineering. Demonstrated boat-based fieldwork experience, including Coxswain Grade 1 Near Coastal certification. Experience operating remote
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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
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and remote sensing datasets for model validation. Develop new functionalities in the Community Land Model (CLM) within CESM. Conduct model simulations to investigate how the tropical atmosphere responds
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. This position is fully funded by external grants from NOAA. Computational modeling will be utilized, and a wide range of in-situ and remotely-sensed data, analytical and statistical tools/methods