24 wireless-sensor-network positions at Oak Ridge National Laboratory in computer-science
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Requisition Id 17051 Overview: Oak Ridge National Laboratory (ORNL) is currently seeking qualified applicants to serve as a Senior Network Engineer supporting unclassified operations. The successful
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Duties/Responsibilities: Participate in new and ongoing research in experimental photonic quantum sensing and computing, including optomechanical sensors and transducers, generation and characterization
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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computational mesh generation to generate validated computational results that are used for large-scale, physics-based simulations for variety of applications. Our Group: MMF is a computational multiphysics
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experience. Hands-on experience with engineering measurements, sensors, data acquisition, data logging, instrument setup, calibration practices, and troubleshooting in laboratory, industrial, commercial
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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or more CFD codes (OpenFOAM, COMSOL, HIMAG, ANSYS CFX, ANSYS FLUENT) that can be utilized in MHD flow computations is necessary, and/or research codes developed for liquid-metal MHD. Knowledge of mesh
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Design and implement scalable data engineering pipelines
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of computational tools and code development, nuclear sensors and instrumentation, neutronics, thermal hydraulics, criticality safety, and nuclear data. The incumbent will be responsible for developing and executing
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and