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, adaptive control) Experience applying machine learning/AI to engineering systems Proficiency in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow
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operations. A central emphasis will be developing, testing, and deploying connected-vehicle technologies and smart-infrastructure control in real-world settings to improve the energy efficiency of mobility
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deformation of metal diaphragms for various harsh environment applications. Develop data acquisition and control systems that include hydraulic or pneumatic actuation and pressure monitoring combined with
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering
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modeling, and process optimization. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of
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treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, manufacturing engineering, industrial engineering, materials science and engineering
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Requisition Id 17078 Overview: We are seeking a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate
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Qualifications: PhD in chemistry, materials science, ceramic engineering, chemical engineering, or a closely related field Experience in chemical synthesis of organometallics experience commensurate
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transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the laboratory to explore fundamental
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Qualifications: A Ph.D. in materials science and engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years. A strong background in mechanical behavior of materials is