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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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diverse research portfolio, foster cross-disciplinary collaboration, and grow the center’s scientific impact. This role includes developing and executing a compelling research vision aligned with Argonne’s
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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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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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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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manufactured materials, superconductors, and other materials proposed by the candidate. Likewise, the Postdoc is expected to continue driving scientific advancements and contribute to long term vision of HPCAT