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materials. The focus is to develop novel electrochemical deposition methods, control interfacial reaction kinetics, and engineer functional coatings and thin films. Advanced process design and
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liquid and solid-state electrolytes using artificial intelligence, under the guidance of a supervisor. The successful candidate will contribute to projects involving the synthesis, physical and chemical
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through reaction kinetics and complementary physical organic and inorganic chemistry approaches. This is an exciting opportunity for an early-career scientist who is passionate about sustainable
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develop innovative approaches to enhance predictive skill. The role also involves integrating AI/ML techniques to advance physical parameterizations and improve severe weather prediction skills. Key
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research program at the interface of theory and experiment. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physical chemistry, inorganic chemistry
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branches of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the
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desired. Experience with physical property measurement of non-aqueous solvents (viscosity, density, conductivity, electrochemical window) is desired. Familiarity with design, fabrication, or
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testing, characterizing, and measuring MEMS devices, as well as designing feedback loops and control algorithms for their precise operation Experience using software tools to simulate the physical