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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field Proficiency in quantum
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a related discipline A minimum of 4 years of applied experience Hands-on experience with training machine learning models on high performance computing infrastructures leveraging GPU accelerators
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. Engage with the broader community for computational methods, artificial intelligence and machine learning, and real-world coupled physics applications. Deliver on ORNL’s mission by aligning behaviors
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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Requisition Id 16695 Overview: As a Senior AI Architect at Oak Ridge National Laboratory (ORNL), you will operate at the intersection of advanced machine learning, software and systems
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation