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, digital twin, surrogate and reduced-order models and machine learning tools for part qualification and quantification of distortion, residual stress, microstructure and fatigue. Effective interpersonal
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data-driven methods for national security applications. Major Duties and Responsibilities Conduct research and development applying machine learning, statistical modeling, optimization, and data science
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, computer engineering, computer science, or a closely related discipline. Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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. From designing advanced sensing platforms and autonomous systems, to characterizing global population risk with increasing spatiotemporal clarity, to designing GeoAI models for supercomputer-scale
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experience of metal additive manufacturing processes Preferred Qualifications: Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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Engineering, or other field relevant to the job duties. Competency in Python and C++ programming. A commitment to lifelong learning. Minimum of 5 years of experience relevant to the job duties listed Preferred
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in software architecture, machine learning systems, or distributed systems Strong understanding of: Machine learning fundamentals and LLM architectures API-based and local model inference workflows
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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