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to execute autonomous experiments, and advance laboratory autonomy and robotics. RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for the orchestration
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, sequences, and pressure Generative and inverse-design models for materials discovery Closed-loop feedback frameworks that use in situ/operando scattering, spectroscopy, and imaging to guide synthesis in real
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capabilities in federated learning frameworks, with emphasis on scalable, reproducible, secure, and extensible research software. Evaluate model performance, robustness, generalizability, fairness, privacy, and
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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to execute autonomous experiments, and advance laboratory autonomy and robotics. RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for the orchestration
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Development & Support: Lead the enhancement, modernization, and troubleshooting of control systems for 60+ insertion devices and associated infrastructure, primarily using the EPICS framework. Operations & AI
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(DUSTIEAIM) observational datasets, together with advanced modeling frameworks such as Energy Exascale Earth System Model (E3SM) or data-driven AI models. Position Requirements Completed or soon-to-be
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes. Strong Python skills and familiarity with LLM APIs, agent frameworks , PyTorch, and the Python
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fluorescence tomography at beamline 2-ID-E and 2-ID-D with focus on bioimaging of soil aggregates, as well as computational framework for modeling and reconstruction of related 3D datasets. The successful