154 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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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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minimum of 5 years of relevant experience Experience in Computer Aided Design (CAD) Experience working within multidisciplinary technical teams Preferred Qualifications: An MS in mechanical engineering
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related discipline and a minimum of 8 years of relevant experience Experience in Computer Aided Design (CAD) Experience working within multidisciplinary technical teams Demonstrated success in managing and
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, electrical engineering, computer engineering, computer science, aerospace engineering, or a closely related field obtained in the last five years. Demonstrated experience developing robotic systems using ROS 2
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Laboratory (ORNL). This role will focus on the development and implementation of novel robotic construction workflows, human-machine collaboration strategies, and automated manufacturing platforms
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of relevant experience B.S. and 15 years of relevant experience Equivalent combinations of skills and experience may be considered. Applied R&D expertise in computer science or computer engineering in a
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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and approaches to solve complex problems (e.g., information retrieval/extraction, machine learning/deep learning, networking) Experience working with geospatial data and processing workflows and
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additive manufacturing, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and
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within a multi-disciplinary research environment consisting of computational scientists, computer scientists, electrical engineers, domain scientists, and applied mathematicians conducting basic and