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the project leader in the research project - “Remote sensing of urban climate, ecosystem, environment and GeoAI”. Qualifications Applicants should have a doctoral degree or an equivalent qualification in Remote
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sciences discipline such as oceanography, remote sensing, or meteorology. • Excellent data management and computing skills. • The ability to engage with and work with a wide variety of international
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genetics, plant physiological ecology and remote sensing. All candidates must have received a Ph.D. in a relevant field by the time of appointment. The postdoc will be based at the Harvard University Herbaria
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implement reproducible pipelines that ingest, clean, and harmonize fragmented data from remote sensing, survey, census, administrative, and citizen science sources into coherent, analysis-ready datasets with
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annum Apply by: 13/09/2026 Role Description We are delighted to announce a new opening for a postdoctoral researcher to work on offshore digital twins, focusing on fixed and floating wind turbines. The
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geospatial datasets. Integrating remote sensing datasets (e.g., optical, LiDAR, SAR) with ecological or environmental data. Proficiency in statistical computing and geospatial analysis using R and/or Python
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remote sensing data with ecological and landscape variables to identify areas of potential establishment and inform management or sterile insect release strategies. Under minimal supervision, the Fellow
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information Experience working with environmental or geospatial datasets, including remote sensing, flux tower or micrometeorological data, weather or climate data, or hydrologic observations Experience
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stratigraphy, weak layer formation, and avalanche initiation. Enhancing spatial and temporal snowpack datasets through field measurements, automated instrumentation, and remote sensing. Collaborate
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Postdoctoral Fellows contribute to our positive and inclusive work community by building trusting partnerships between the institute's two schools and across the University of Michigan. Our postdocs approach