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to generate novel products and characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and
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characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and validation of processes of utility
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for robust and scalable quantum information processing. These projects will involve a combination of analytical and numerical approaches and will connect closely with ongoing experimental efforts. A Ph.D. in
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of architectures for robust and scalable quantum information processing. These projects will involve a combination of analytical and numerical approaches and will connect closely with ongoing
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maintains a robust and expanding research portfolio, currently spanning nine sponsored projects, with additional proposals in progress. The lab uniquely integrates wet lab and computational expertise and is a
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. Methodological Areas of Interest Applicants with experience in the following areas are especially encouraged to apply: Optimization (deterministic, stochastic, robust, reinforcement learning–based) Systems