Sort by
Refine Your Search
-
solutions to compelling problems in energy and security. We are seeking a Research Associate (RP02) who will support the Plasma Exhaust and Particle Control (PEPC) Group in the Fusion Energy Division, Fusion
-
Requisition Id 15411 Overview: We are seeking Radiological Control Technician IV who will focus on implementing radiation protection in support of ORNLs world-class mission at the High Flux Isotope
-
Requisition Id 15410 Overview: We are seeking Radiological Control Technician III who will focus on implementing radiation protection in support of ORNLs world-class mission at the High Flux Isotope
-
infrastructure environments Industry certifications such as GRID (SANS) certifications in Control Systems Active DOE Q or Top-Secret clearance Experience with SOAR development to improve metrics, dashboards, and
-
accelerates deployment across the energy value chain and supports DOE priorities related to infrastructure modernization, domestic manufacturing, grid resilience, and secure, affordable energy systems. ESTD’s
-
detection, and power grid waveform analytics. You will apply methods traditionally used in wireless communications and signal intelligence — including time-frequency analysis, interference modeling, multi
-
. Related fields, including hydropower and power grid modeling, hydraulic engineering, and sediment transport. The successful candidates must demonstrate an ability to work independently, evidenced by
-
, cyber security and power grid analysis, and uncertainty quantification for engineered systems. Collaboration with experts from various scientific disciplines and applications, and following team planning
-
-generation building construction. This position resides in the Manufacturing Robotics and Controls Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
-
that integrate with existing or new large language models and large vision models for resource optimization with energy grid data. Provide coding support to implement privacy preserving federated learning