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methods. Expertise in coastal landscape ecology, hydrology, and/or geomorphology. Experience analyzing large, heterogeneous environmental, geospatial, remote-sensing, or time-series datasets. Contact
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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) to work on the Terrestrial Ecosystem Science Scientific Focus Area (TES SFA). The successful...
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Requisition Id 16974 Overview: We are seeking a Postdoctoral Research Associate to conduct Mechanical Behavior of Advanced Structural Alloys by Engineering Diffraction. This position resides in the Materials Engineering Group within the Large Scale Structure Section, Neutron Scattering...
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residency requirement, you will be required to obtain a PIV credential to maintain employment. Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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for characterization and analysis of membranes and composites including X-ray/neutron powder diffraction, electron microscopy and lithium analysis using ICP, NMR, etc. Collaborate with ORNL postdocs and staff who
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you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Postdocs: Applicants cannot have received their Ph.D. more than five years prior
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Requisition Id 16261 Overview: We are seeking a Postdoctoral Research Associate who will focus on the physics and materials science of PLD-synthesized twisted oxide and hybrid quantum materials. This position resides in the Neutron & X-Ray Scattering, & Thermophysics group in the Materials...
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Requisition Id 15880 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking an outstanding Postdoctoral...
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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