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. In this role, you will lead a research program centered on AI-driven autonomous synthesis, including: Active learning and Bayesian optimization over synthesis parameters such as precursors, temperature
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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optoelectronics. The successful candidate will build and lead an innovative research program in microelectronics by leveraging CNM’s unique strengths in materials synthesis, device fabrication, and characterization
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In the Computational Materials Group, we focus on the development and use of computational and theoretical methods to understand and predict the behavior of solids, liquids, and nanostructures from
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, postdocs, and students. May be required to perform other duties as assigned. Position Requirements Ph.D. in Physics, Accelerator Science, Electrical/Computer Engineering, or a closely related field and 4
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facilities, including synchrotron and neutron-scattering centers. The position offers the opportunity to establish and lead an independent research program while working closely with scientists across the QSCM
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The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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. The candidate will assume a primary role in spearheading the development of a comprehensive growth, synthesis, and innovative characterization experimental program specifically tailored to diamond
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an independently-funded research program within 2-3 years. The successful candidate will develop and apply advanced data-driven methodologies to accelerate discovery in materials/chemistry design, characterization