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mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience. Additional experience in the areas mentioned in
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, GPU, or cloud-computing experience. Proven ability to work independently, formulate research questions, and take initiative. Cumulative GPA of 3.0. General Notes An agency designated by the federal
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Description General Notes The STARR PI will lead research activities associated with the program while supervising a large team of professional- and technical-track researchers, postdocs, and
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Description General Notes The STARR PI will lead research activities associated with the program while supervising a large team of professional- and technical-track researchers, postdocs, and
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| Human Resources and UT Austin Employee Experience | Human Resources Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. Purpose The Postdoc employed
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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GPU-accelerated ML and related frameworks. Experience using JavaScript and web development frameworks. Experience using Unreal Engine and VR/AR environments. Prior work experience in professional or
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well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes. Qualifications All candidates must hold a Ph.D. or equivalent degree in Chemistry, Molecular Biology
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computing environment, with access to HPC and GPU clusters for large-scale simulations. Collaboration with DoD researchers, Army engineers, and academic teams. Occasional travel to Army test sites for field
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for the Foundations of Machine Learning (IFML), and Good Systems initiative as well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes. All positions are subject