23 computational-chemistry-post-doc Postdoctoral positions at Oak Ridge National Laboratory
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specialists in organic and inorganic synthesis, coordination chemistry, thermodynamics, laser spectroscopy, materials characterization, chemical separations, computational chemistry, and nuclear chemistry. Our
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Requisition Id 17075 Overview: We are seeking a highly motivated Postdoctoral Research Associate in Organic Chemistry and/or Critical Materials Separation Science to develop next-generation ligands
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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interfacial reactions within energy storage materials. In addition, the applicant will be expected to help train new scientists (graduate students, post-BS, and post-docs) with suitable laboratory procedures
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of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers from universities, national
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Requisition Id 16967 Overview: Our team is looking for a driven Postdoctoral Researcher with a strong background in polymer chemistries to support our advanced fiber manufacturing initiatives
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separation science and technologies for energy applications. Support research and program-development activities in advanced separation and purification, including the recovery of critical materials used in
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for geothermal casing related harsh environments applications. A background in polymer chemistry research or related fields, composite material development, material science, and data analysis is preferred. Strong
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the Computational Chemistry and Nanomaterials Sciences group in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as