25 postdoctoral-structural-engineering Postdoctoral research jobs at Oak Ridge National Laboratory
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). The Postdoctoral Research Associate will contribute to the development of novel modeling and characterization frameworks that will be based on 1) simulation or characterization of the microstructures of ceramics
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to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. We are seeking a Postdoctoral Research Associate in Powder Diffraction Group who will
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Structures and Processing Section, Materials Sciences and Technology Division, Physical Sciences Directorate at ORNL. More information about our research programs in this Section may be found at https
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, condensed matter physics, and NFC engineering. The Postdoctoral Research Associate will apply their skills to the study of nuclear materials and their chemical and physical properties. Responsibilities also
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temperature compounds (UHTC’s) structures. Knowledge of the organic chemistry, synthetic methods, and the skill level to work with air and/or water reactive compounds will be a mandatory requirement
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characterization techniques for understanding structure-processing-property relationships of materials. This position resides in the Sustainable Manufacturing Technologies Group in the Composite Technology Section
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National Laboratory (ORNL). The Postdoctoral Research Associate will work in synthesis, processing, and investigation of structure-property relationships of sustainable piezoelectric materials using neutron
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analysis including inductively coupled plasma Structure characterization using ex and in situ scattering along with analysis of this data Perform characterization studies of battery materials Coordinate
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Computational and Predictive Biology Group in the Biosciences Division (BSD
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technologies Field, laboratory, or numerical testing of hydraulic structures Geospatial and remote sensing data analysis (e.g., GIS, Google Earth Engine) Machine Learning applications in hydrology/water