72 requirements-engineering-"https:" "https:" "https:" "https:" "https:" "OSU" research jobs at Argonne
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theories. The candidate will also be expected to apply these models to predict the engineering behavior of materials in service environments. Position Requirements Recent or soon-to-be-completed PhD
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The Atomic, Molecular, and Optical Physics Group in Argonne National Laboratory’s Chemical Sciences and Engineering Division invites applications for a Postdoctoral Appointee position. This position
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. Position Requirements A formal education in materials science and engineering, nuclear engineering, or a related field at the PhD level with zero to five years of employment experience. Knowledge of metallic
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focused on bringing new R&D opportunities to the division Position Requirements Ph.D. in Radiochemistry, Chemistry, Chemical Engineering, or a closely related field completed in the past 5 years or soon-to
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support from existing and new research sponsors Position Requirements Ph.D. in Chemical Engineering, Mechanical Engineering, Mining Engineering, or a closely related discipline completed in the past 5 years
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well as in industry and at other national laboratories. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years)in Engineering or similar program. At least 2
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). Position Requirements Ph.D. in electrical engineering, mechanical engineering, physics, or a related field completed within the past five years or soon-to-be completed Experience in X-ray scattering is
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. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical engineering, materials science, civil engineering, structural engineering, or a closely
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. Position Requirements Required Skills: Recent or soon-to-be-completed Ph.D. (typically completed in the last 5 years) in mechanical/aerospace/chemical engineering, applied mathematics or a related discipline
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and tools to support engineering analyses of power grid planning and operations. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks