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The Materials Life Cycle Analysis Group within the Energy Systems and Infrastructure Analysis Division at Argonne National Laboratory is seeking a technically strong environmental analyst to conduct life cycle analysis (LCA) of bioenergy and agricultural systems. A successful candidate will...
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, Masters +3yrs, PhD + 0yrs required, PhD in physics with 2+ years of postdoctoral experience preferred Solid knowledge in optics (x-ray optics in particular), free-electron laser physics, photon detectors
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We invite interested candidates to apply for a Postdoctoral Appointee position on scale-up science for emerging technologies, with a primary focus on electrochemical technologies for upgrading CO2
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projects, grow research collaborations, communicate impactful research outcomes in peer-reviewed journals, and support other related projects within the team’s portfolio. Position Requirements Masters in
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. Role model Argonne’s Core Values. Understand, value, and promote diversity. RD2: Bachelor's and 5+ years experience, Master's and 3+ years experience, Doctorate and 0 years experience, or equivalent
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primary role in spearheading the development of a comprehensive growth, synthesis, and innovative characterization experimental program specifically tailored to diamond for applications in quantum
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from primary scientific literature Good programming skills using common computer languages This position description documents the general nature and level of work but is not intended to be a
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support the project Principal Investigator in designing, performing, and analyzing experiments to be conducted on single-cylinder heavy-duty research engines. The research will be focused on testing
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. Position Requirements Candidates must hold a PhD in Economics or Engineering. If the candidate possesses a PhD degree in Engineering, they must also have a Master's degree in Economics. Knowledge of energy
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multidisciplinary team comprising engine modelers, CFD and AI/ML experts, and computational scientists. The primary focus will be on enhancing the predictive capability and scalability of multi-scale and multi