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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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. Preferred Qualifications: Knowledge of battery (e.g., lithium ion, solid-state, sodium ion, lithium air, lithium sulfur, etc.) or fuel cell or water electrolyzer anode, cathode, catalyst coated layer and MEAs
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cathode material synthesis for lithium-ion and sodium batteries. The selected individual will work under supervision and will assist the Lead PI on developing experimental methods and techniques
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characterization and degradation characterization of electrode materials for high energy density lithium-ion battery systems. This research will explore fundamental aspects of material synthesis, recycling
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, or related field Demonstrated track record of research excellence through publications and/or patents Preferences Strong background in electrochemical systems, materials development, Experience with lithium
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funded by the Swiss Federal Office of Energy. Your tasks The research project focuses on the solvent-free manufacturing of battery electrodes to improve the ecological footprint of lithium-ion batteries
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. Areas of application include lithium-ion batteries, high-salinity water treatment, and separations. The researcher will employ molecular dynamics (MD) and quantum mechanical (QM) methods to develop and
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production for lithium-ion batteries, ii) understanding and controlling interfaces for lithium-metal batteries, and iii) synthesis and characterization of catalysts for plasma-assisted catalysis. Research
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plasma edges, i.e., reflection, retention, and sputtering. The effects of B, C, O, and W impurities in lithium (Li) films on refractory metal substrates will be investigated to probe the influence
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focuses on the development, synthesis, characterization, and optimization of advanced cathode materials for next-generation Lithium-ion batteries. The successful candidate will contribute to fundamental