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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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motivated Postdoctoral Researcher to join our Grid Planning and Analysis Center (GPAC). This position will focus on tackling critical optimization challenges in medium-term power system planning like
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execute experiments Develop and optimize media, inoculum, and process parameters using DoE/RSM; monitor growth, kinetics, and product formation. Operate benchtop bioreactors, implement control strategies
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of singularities, optimal control, and applications to macroscopic models of traffic flow. Teaching may be required. Education and Experience: Applicants must have recently completed a Ph.D. and have exceptional
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. Role & Responsibilities: Design and optimize large-scale electrophysiological and behavioral experiments using next generation custom-built hardware and software platforms Develop and implement end
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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performance testing (e.g., polarization curves, EIS). Design and execute experiments for materials optimization and degradation analysis. Maintain and operate laboratory equipment, including potentiostats
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key element of the two-beam acceleration concept Emphasize Bayesian optimization approaches and integrate these methods into the facility control system Design, execute, and analyze accelerator