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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials
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ultrafast nonlinear optical spectroscopy techniques—such as transient absorption and impulsive vibrational spectroscopy—the role aims to probe polariton-controlled electronic and nuclear dynamics occurring
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scientific experiments at APS beamlines, which will define the baseline for the usage of the TES X-ray microcalorimeter spectrometers. Collaborate with detector, electronics, and beamline staff to integrate
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration
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, and autonomous materials discovery. This position, supervised by Ashley Bielinski and Alex Martinson focuses on the development of semiconductor materials and the repair of electronic defects
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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4
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Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemical engineering, chemistry, materials science and engineering, environmental engineering, and/or closely related
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electron beams, advanced beam-manipulation for precise electron-beam shaping, and ML for accelerator science. Responsibilities Develop and deploy ML algorithms for autonomous operations and optimization
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activities can be found at www.anl.gov/phy/theory . Interested applicants should complete the following three steps: 1. Complete the application herein. 2. Email a curriculum vitae and a one-page statement of
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Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemistry, chemical engineering or materials science (those with other degrees but have similar skills to those