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broadly with faculty in the Luddy School of Informatics, Computing, and Engineering, Data Science, Statistics, the Institute for Scientific Computing and Applied Mathematics, and scientific units across our
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, including, but not limited to, creative coding; computational, algorithmic and generative art; artifi cial intelligence and machine learning; human-computer interaction; interactive media; game art and
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will include development of algorithms for heterogeneous computing architectures and implementation of AI/ML in a real-time environment. The candidate will also have the opportunity to conduct
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests