19 condition-monitoring-machine-learning Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 15287 Overview: The Manufacturing Systems Analytics (MSA) group at the Oak Ridge National Laboratory (ORNL) conducts applied machine learning, decision science, and multi-modal
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, machine learning, geographical information sciences, and many other topics to help frame and solve the above problems on a national and global scale. The successful candidate will contribute to cutting-edge
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frequency domain reflectometry (OFDR), and other technologies relevant to nuclear reactor structural health monitoring and maintenance. The candidate will be expected to install, configure, analyze, and
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systems. Prepare schedules, cost estimates, status updates, and performance reports for responsible projects. Effectively communicate project outcomes to ORNL management and project sponsors, both internal
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, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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materials such as the magnetoelectric, high entropy oxides, through neutron scattering experiments. Additionally, collaborative work will be performed with the aim of developing and applying machine learning
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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industrial leadership. Develop monthly program impact reports to share the status and findings of the program with DOE program manager. Deliver ORNL’s mission by aligning behaviors, priorities, and