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Field
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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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and student supervision? Have you recently earned a PhD in Remote Sensing, or are you about to finish your PhD, and feel inspired to share your expertise with the next generation while advancing your
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with low or no potential. Participate in offshore research and data analysis of remote sensing data and geoarchaeological samples from Gulf fieldwork. Visit archival geoarchaeological datasets and
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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surface models from visual line transect surveys conducted by a large number of collaborating institutions along with gridded environmental covariates derived from satellite remote sensing, ocean models
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/benefits-overview . Posting Summary Seeking a highly motivated Postdoctoral Associate to lead research working in quantitative ecology, using big datasets (e.g. GBIF, eBird, Movebank), remote sensing data
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groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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and remote sensing data from both the Arctic and Antarctic sea ice regions. Based on this new understanding, the candidate will develop parameterizations that can emulate these physics for use in more
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science, or a closely related