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for mastering magnetron sputtering of piezoelectric thin films. This includes: Exploiting new deposition schemes and parameters of reactive magnetron sputtering, aiming for optimal piezoelectric thin film
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random dynamics. You will work on quantifying the typical times of observability for the different transient phenomena and elaborating criteria for a dynamically optimal decomposition of the state space
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adaptive, personalized interventions that dynamically respond to an individual’s behavior and environment. You will conduct independent research focused on developing and optimizing such adaptive and
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scenarios; hardware and software in the loop simulation; compiled common components (C++ lib) to accelerate computation; support for automatic differentiation throughout the framework to facilitate optimal