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Field
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North Carolina coastal and estuarine environments. Experience with coastal engineering theories and analyses. Experience in ecological and drone-based remote-sensing monitoring assessments of living
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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numerical modeling, remote sensing applications, and the development of data-driven decision-support tools. The successful candidate will work on a NASA-funded Transboundary Model and Data Homogenization
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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and tools. Ability to work with large observational, reanalysis, remote-sensing, and operational ocean/environmental datasets and to integrate these data with physics-based models. Knowledge of model
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/ or remotely). FPGA / device control software development. Explore quantum sensing via colour centres in 2D materials and diamond. Liaison with collaborators from U Santiago de Compostela (USC) and INL theory
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Digital Twins You will apply Artificial Neural Networks (ANNs) to develop efficient digital twin representations of shoreline systems. By training ANN models on diverse datasets—including remote sensing
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. That makes it possible for us to search for, and rigorously test, existing medications that might be repurposed to treat alcohol and substance use disorders. Our work gives a sense of what these studies look