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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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Requisition Id 17092 Overview: The Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to join the Earth Systems Modeling Group (ESMG
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and exploring technological advancements in the field. Background and Objectives As part of the project titled “Development of an Intelligent Geospatial Interface for Panel 8 of the Benguerir Phosphate
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. Expected start date and duration of employment 1 January 2027 or as soon possible. Job description The postdoctoral researcher will focus on modelling how depopulation and rewilding impact on biodiversity
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2026 Apply now Interested in how geospatial data science and GeoAI can be applied to investigate health system resilience under the rising pressure of polycrisis? Excited about developing spatial models
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation (SNSF). We
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and