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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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the electrolyte exchange charge with solid booster materials held in the storage tanks, decoupling energy density from active-material solubility while preserving the modularity and safety of aqueous flow batteries
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of cooperative effects in charge transport, proton dynamics and electrochemical conversion in solids and at electrochemical interfaces. Your tasks The research focuses on experimental investigations and theory
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boosters, for next-generation redox-targeted flow batteries. In these systems, soluble redox mediators dissolved in the electrolyte exchange charge with solid booster materials held in the storage tanks
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laser platforms Conceptualization and setup of optical systems Hardware synchronization and data acquisition Conduction of experimental campaigns, evaluation of results and reporting Your profile PhD
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motivated team player who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics