Distinguished Rotor Dynamics Researcher

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The Centrifuge Science (CS) Section within the Enrichment Science and Engineering Division (ESED) at Oak Ridge National Laboratory (ORNL) is seeking a Rotor Dynamics Analyst for the Mechanical Systems Modeling Group (MSM). The Distinguished Rotor Dynamics Researcher will serve as a technical authority in the analysis and prediction of complex rotating system behavior, with primary responsibility for performing advanced rotor dynamic analyses and leading the research and development of next‑generation modeling capabilities.

This role focuses on improving the fidelity and predictive accuracy of analytical and computational tools used to characterize the dynamic performance of gas centrifuge rotors and their associated suspension systems.

ESED serves the nation in two critical areas: advancing enrichment technologies and exploring enriched stable isotope production and applications. The division leverages an elite staff of scientists and engineers with the world‑leading capabilities of ORNL to deliver groundbreaking advancements with a variety of applications, from national security to life‑saving medical treatments. ESED is the national steward for the research, development, and demonstration of centrifuge technology.

The successful candidate will provide research and development (R&D) leadership to the group that strategically advances science and technology focused on gas testing of prototype enrichment devices for processing uranium‑bearing and stable isotope compounds.

The Mechanical Systems Modeling Group applies first‑principles physics and empirically informed methods to advance the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict the behavior of complex rotating machinery operating under extreme conditions. Through the integration of modeling, simulation, and experimental validation, the group supports the design, performance optimization, and reliability of gas centrifuges used in the processing of uranium and stable isotope compounds.

Within this organization, the Distinguished Rotor Dynamics Researcher serves as a senior technical authority and thought leader in rotor dynamics, bearings, and suspension systems, including squeeze film dampers. The individual will lead and execute research and development (R&D) efforts aimed at improving the predictive accuracy of models and enhancing the understanding of dynamic phenomena governing high‑speed centrifuge operation. This includes advancing analytical and computational methods, guiding experimental validation activities, and translating technical insights into improved system designs and operational performance.

Major responsibilities for this senior role include leading and executing advanced research initiatives focused on the dynamic performance characterization of enrichment devices and their associated subassemblies. The successful candidate will drive the development of high‑fidelity dynamic simulation tools to model complex rotating systems and will apply advanced rotor analysis and design codes to predict rotor and suspension behavior across design and test environments.

This role requires both deep technical expertise and strategic leadership in extending modeling capabilities through the modification of existing frameworks and the development of new physics‑based dynamic models. The candidate will lead the planning, coordination, and execution of experimental validation campaigns, ensuring strong correlation between simulation predictions and measured system performance.

In addition, the successful candidate will collaborate closely with design engineers, manufacturing teams, and external research partners to ensure that modeling insights are effectively translated into practical design improvements, test strategies, and operational recommendations. This role requires clear technical communication, mentorship of junior staff, and the ability to influence program direction through data‑driven…