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development Experience with various operating systems, high-performance computing, and SLURM systems. Familiarity with nuclear nonproliferation goals, concepts, and approaches (e.g., international safeguards
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federated learning SOTA algorithms. Knowledge of distributed optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its
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Monte Carlo radiation transport software and applications Experience with numerical computing using programming languages such as C++, Python, etc Author or co-author of open literature publications
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teams that are composed of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers
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methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real-time data acquisition and telemetry systems Familiarity with cloud computing
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programming in Python, GEE, or R, and working with modern scientific computing and/or AI/ML frameworks. Experience with analyzing large, heterogeneous environmental, geospatial, remote-sensing, or
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developing agentic tools for automation of scientific discovery Expertise in using high-performance computing (HPC) platforms for delivering breakthrough scientific results A record of productive and
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generative tools for automation of scientific discovery Expertise in using high-performance computing (HPC) platforms for delivering breakthrough scientific results A record of productive and creative