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Field
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single-mode and multimode semiconductor laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where
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, agentic multi-modal data science for complex transport phenomena, in addition to forward/backward uncertainty quantification, numerical analysis, and high-performance computing. Equal Employment
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investigate fault slip, stress evolution, and coupled mechanical, hydrologic, and thermal processes in geologic materials. Working with a multidisciplinary team, you will use high-performance computing and
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. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science. The department has an active research community
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. Significant experience using Python for high performance applications with libraries such as: Numpy, Numba, CuPy, and PyQtGraph Significant experience using C++ for numerical computing applications
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) as evidenced by their publications High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency
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discipline. ● Experience: ○ Expertise in computational science ○ Proficiency in Python ○ Experience with high-performance computing (HPC), with GPUs preferred ● Related Skills and Other Requirements
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-performance computing and/or large-scale data centers; Advanced experience with large-scale software development and support; Advanced knowledge of Linux kernel internals and systems programming methods
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seeks to advance Penn State science, engineering, and humanities through computational and quantum theory, high-performance computing, Artificial Intelligence and data science, driving technological
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, including genomic, transcriptomic, proteomic, and circulating biomarker data. The lab provides access to state-of-the-art computational infrastructure, including high-performance computing (HPC