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statistical analysis and modeling techniques such as Gaussian process modeling, data assimilation, and Bayesian analysis; and 4. Open-source scientific software development. Expertise in computational
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processing with electrochemical performance objectives, establishing scalable synthesis workflows, and supporting technology transfer. The position involves close collaboration with multidisciplinary teams
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strong track record in problem solving and scientific publications. The candidate will be expected to conceive of, plan, and implement the scientific research, and to report relevant results in
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, including new solvents, additives, and salts, that offer enhanced thermodynamic and/or kinetic stability at electrode/electrolyte interfaces. The ultimate objective is to enable long-term cycling performance
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. Objective: Develop and optimize workload-specialized interconnects and network-aware communication strategies to enhance the performance of AI and HPC workloads. Implement adaptive routing techniques and
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electrochemical characterization of designer interfaces. Position Requirements The successful candidate will be highly motivated and have a strong track record in problem solving and scientific publications
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, academia, and industry, as well as other national labs and agencies, to solve some of the world’s largest and most complex problems in science and engineering. Objective: The goal for this postdoctoral
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as evidenced by publications and recommendations. Proven track record showing the ability to carry out independent and collaborative research in a multidisciplinary team while meeting project
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). Knowledge of the Multiphysics Object-Oriented Simulation Environment (MOOSE) framework. Experience in computational modeling of advanced reactor designs including both fission and fusion systems. Knowledge
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models that combine T&D objectives (e.g., power flow limits, resilience) with aggregator/market participation; evaluate how microgrids and VPPs can offer services while ensuring reliable local operation