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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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, user workflows, resource allocation models and performance metrics. Innovation & Thought Leadership: Identify and integrate emerging geospatial/HPC technologies (e.g., ML Ops for geospatial data, real
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. Experience with Python, SQL, and common libraries/frameworks for data analysis, workflow automation, and image or geospatial data processing. Experience with relational databases, data modeling, ETL pipelines
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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
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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Requisition Id 16689 Overview: We are seeking a Geospatial Data Architect who will focus on designing and governing data ecosystems that support spatial analytics, modeling, and operational
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including pansharpening, geocoding, atmospheric compensation, image denoising, cloud masking, finetuning large geospatial foundation models for a variety of national security downstream tasks. The GeoAI Group
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direction for HPC environments: developing reference architectures, guiding system design decisions and technology selection, defining performance and capacity models, and ensuring operational excellence
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platforms and autonomous systems, to characterizing global population risk with increasing spatiotemporal clarity, to designing GeoAI models for supercomputer-scale applications, geospatial science at ORNL is