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related field by the appointment start date. The successful candidate will also have: A strong background in numerical modeling and the application of computational methods to land surface hydrological
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Engineering Department at The Pennsylvania State University. This position involves the development and application of numerical analysis approaches using Machine Learning based multi-physics tools
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grid data and/or numerical modeling output from weather and climate models. Prior contributions to open-source scientific software projects. Familiarity with DevOps/GitOps practices including CI/CD
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analytical and numerical models of nonlinear vibration systems. The successful candidate will investigate stochastic resonance and noise-assisted dynamics, perform finite element modeling of coupled mechanical