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research in nanoscience, from concept development through experimental execution, analysis, and dissemination via peer-reviewed publications and presentations Manage and mentor a team of scientists, postdocs
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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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, characterizing mass transfer and selectivity under flow conditions, and screening and tuning DES compositions to optimize solubility, speciation, and electrochemical accessibility for target elements
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breakthroughs in NV sensor synthesis and host diamond heterointegration. The successful candidate will operate at the interface of these programs, playing a central role in developing and optimizing next
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, materials science, chemistry, or a closely related discipline with 2+ years of postdoc experience Postdoctoral research experience within the field of quantum materials Expertise in single crystal growth
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, and related materials. Research activities will include developing solution-based processing methods, optimizing powder mixing and dispersion, fabricating dense composites through thermal consolidation
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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learning, or optimization Strong programming skills in Python and experience with scientific computing and machine-learning libraries Ability to work across experimental, robotic, and computational systems
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: https://rpl.cels.anl.gov/ Autonomous Discovery at Argonne: https://www.anl.gov/autonomous-discovery MADSci on GitHub: https://github.com/AD-SDL/MADSci AD-SDL organization on GitHub: https://github.com/AD
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, primarily for recycling used nuclear fuel to support the deployment of advanced reactors. The selected candidate will develop and optimize novel separations chemistries to recover actinide and rare earth