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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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team, you will : Perform electrochemical, physical and chemical properties measurements of molten salts to understand the impact of salt composition on property values. Develop and perform laboratory
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membranes for gas and liquid separations. The ideal candidate will have expertise in polymer synthesis and fabrication of hollow fiber membranes and thin-film composite membranes. Position will be focused