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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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statistical modeling concepts (e.g., regression, classification, clustering, model evaluation). Ability to work effectively in a team-based, production-oriented research environment and communicate technical
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. In addition, you will develop and leverage training data sets derived from years of ARM metadata records, as well as design and implement Large Language Model (LLM)-based conversational interfaces
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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