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Directorate within Oak Ridge National Lab. The geospatial data engineer will support the development of next generation data strategies that will support and deploy operational situational awareness products
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. This position resides in the Deposition Science and Technology Group at the Manufacturing Demonstration Facility (MDF) in the Manufacturing Sciences Division (MSD), Energy Sciences and Technology Directorate
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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Requisition Id 16849 Overview: At Oak Ridge National Laboratory (ORNL), our researchers are advancing some of the nation's most complex scientific and engineering challenges—from advanced
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Qualifications: BS in a science, engineering, business administration or related field, and 0 - 2 years of relevant experience. Experience in applied R&D project management and/or business/industry. Demonstrated
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into machining or manufacturing systems. Experience with data analysis, modeling, or automation using tools such as Python, MATLAB, C#, C++, or similar engineering software environments. Experience with CAD/CAM
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technology, industrial/organizational psychology, or a related discipline. A minimum of 5–7 years of experience designing and developing instructional materials for technical, compliance, or professional
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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: Experience with Articulate 360 or comparable instructional design/authoring software. Strong writing skills and ability to communicate clearly with highly trained technical staff and management. Demonstrated
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. Proficient researcher, practitioner and/or developer of tools and techniques relevant to secure and resilient cyber-physical systems. A fundamental understanding of methods, tools, and operational applications