76 building-physics-"https:" "https:" "https:" Postdoctoral positions at Oak Ridge National Laboratory
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high-performance computing facilities. There is significant potential for high-impact research contributions at the forefront of computational quantum many-body physics. This position resides within
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resides in the Advanced Nuclear Materials (ANM) Group in the Materials in Extremes Section, Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National
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Requisition Id 16875 Overview: We are seeking a Postdoctoral Researcher who will focus on the development of innovative processes and technology that can be applied to buildings and the grid
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their electrochemical performance with chemical change. This position resides in the Chemical Dynamics Group in the Chemical Sciences Division (X060), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory
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) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and
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for building system dynamics models and for converting those models into probabilistic programs so their parameters can be inferred from data. The successful candidate will extend the mathematical and
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. This position resides in the Soft Materials and Membranes Group in the Chemical Sciences Division, Physical Sciences Directorate (PSD), at Oak Ridge National Laboratory (ORNL). As part of our team, you will work
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navigation, trajectory planning, and point cloud mapping; and (3) deploy the developed algorithms on a physical mobile robot operating in GPS-denied, low-light, and geometrically repetitive environments
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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materials. These systems are instrumented and connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution