301 computational-physics-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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program. This group also provides technical support to operations, maintenance and performs systems analysis. As a Senior Electrical, Instrumentation, and Controls Engineer, you will design and modify
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production process development for delivering stable isotopes for medical, industrial, and DOE mission critical applications. As part of our team, you will work closely with a focused group of scientists
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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plans, checklists, procedures, and guidance documents. Apply quality standards and requirements effectively based on sponsor, program, and project needs. Use the ORNL QA Program, DOE O 414.1D, NQA‑1, and
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), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop physics-based computational models, including Finite Element Analysis (FEA
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to ensure security practices and procedures are understood, implemented, and enforced. Job Duties and Responsibilities: • Maintaining computer networks including VPNs, routers, and other physical hardware
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Requisition Id 16059 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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Requisition Id 16083 Overview: We are seeking a Process Controls Designer who will focus on Serve as Process Controls Designer for the development and implementation of control drawing packages and
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post-production quality data against program-specific requirements and proactively identify process areas needing improvement or innovation. Deliver ORNL’s mission by aligning behaviors, priorities, and
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‑correction, calibration, and adaptive data‑acquisition methods to improve measurement efficiency and throughput Apply physics‑based or computational transport modeling to interpret internal material gradients