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Atomistic and Data-Driven Modeling of Materials for Energy Applications - Postdoctoral Researcher

Llnl·Worldwide·Livermore, US·mid
data science
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Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have multiple openings for Postdoctoral Researcher Positions to conduct mentored research in atomistic and data-driven modeling of materials for energy applications. Key focus areas include investigating reactivity, transport, and phase evolution at heterogeneous interfaces; predicting materials degradation and coupled chemo-electro-mechanical response under operating conditions; understanding electronic properties of materials under non-equilibrium conditions; and developing data science approaches for predicting materials performance across scales. You will work closely with a multidisciplinary team in support of projects sponsored by the Basic Energy Sciences, Transportation Technologies Offices, and Office of Electricity within the Department of Energy, and internal LDRD programs. This position is within the Quantum Simulations Group within the Materials for Emerging Applications and Extreme Conditions section of the Materials Science Division in the Physical and Life Sciences Directorate. This position requires full-time on-site presence due to the nature of the work. Note: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date. You will Perform electronic structure theory-based simulations of complex materials, such as oxides and multi-element sy

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