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Requisition Id 16166 Overview: The Programming Systems Group at ORNL seeks a forward‑leaning Postdoctoral Researcher to advance research at the nexus of Agentic AI, high‑productivity programming
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-augmented generation (RAG) or agent-based AI systems. Experience working with APIs, data pipelines, or backend systems. Experience evaluating or benchmarking ML or LLM-based systems. Knowledge of FAIR
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is building agentic AI workflows that help discover, gather, validate, and standardize open-source data for downstream geospatial analytics and machine learning. The position offers a unique
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characterization data Develop and integrate imaging and sensing systems for data collection and monitoring Develop modular, extensible workflows (e.g., service-oriented or agent-based architectures) to orchestrate
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(CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation. Key Responsibilities: Design and Development for Security
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machine learning, deep learning, foundation models, agentic AI systems, graph neural networks, and knowledge‑graph–based reasoning. Familiarity with integrating AI into scientific workflows at scale