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to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be
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material intralogistics handling alternatives such as trolley-assist systems, battery-electric trucks, and in-pit crushing & conveying (IPCC), combining life-cycle analysis, and dynamic simulation
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health and transport, the research carried out at MAScIR focuses on the current and future needs of industry, agriculture and economic operators in general. The MAScIR Foundation also aims at promoting
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algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH
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: transport properties and selectivity. Monitor and analyze system performance: current efficiency, ion separation rates, energy consumption, etc. Model ion transport and system behavior under different
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols
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. Electrochemical Impedance Spectroscopy (EIS) to analyze charge transfer resistance. Cyclic Voltammetry (CV) and Galvanostatic Intermittent Titration Technique (GITT) for diffusion coefficient determination
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Spectroscopy (EIS) to analyze charge transfer resistance. Cyclic Voltammetry (CV) and Galvanostatic Intermittent Titration Technique (GITT) for diffusion coefficient determination. Degradation Studies
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component. The battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC