Argonne National Laboratory is a Department of Energy national laboratory with over 1,500 scientists and engineers performing world-class research aimed at solving the nation's energy, environmental and security challenges. Argonne is located 25 miles southwest of Chicago on a beautiful 1,500-acre campus. The Decision and Infrastructure Sciences (DIS) Division researches, designs, and delivers scientific tools and methodologies to inform decision-making regarding the most challenging security, risk, and resilience problems. DIS experts have developed methods to understand dependencies and interdependencies within and across infrastructure systems, strengthen infrastructure security and resilience, and respond to emergencies. As a multidisciplinary national laboratory, Argonne offers an exciting atmosphere in which to collaborate on interdisciplinary projects that focus on complex technical problems and integrated application of natural, social, and computer science practices. To support our research mission, DIS is seeking an E nergy Systems Engineer to support our growing need for exciting analysis of energy system security, reliability, and resilience, with a particular focus on the electric grid. In this position, you will: Develop and implement methodologies to analyze security and resilience of energy systems and related infrastructure, with a particular focus on electric power systems. Conduct research related to a wide range of topic areas including: Analysis of electric power and energy system security and resilience; Optimization of energy system operations; Interdependencies among the power grid, oil and natural gas, and other infrastructure systems; and Strategies for enhancing grid resilience to various threats and hazards. Develop/contribute to analyses, tools, models, and technical publications in support of energy security and resilience projects. Engage with the Department of Energy, state and local government partners, and industry sponsors to support energy security and resilience analysis, planning, and decision-making
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Job Type
Full-time
Career Level
Entry Level