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Quantum Materials and Devices – Deng Research Group Prof. Bingchen Deng (https://luddy.indiana.edu/contact/profile/index.html?bingchen_deng) in the Department of Intelligent Systems Engineering at Indiana
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, United States of America [map ] Subject Area: Physics / Quantum Optics Appl Deadline: 2026/02/16 04:59 AM (posted 2026/01/16 05:00 AM, listed until 2026/02/17 04:59 AM) Position Description: Apply Position Description A
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, UV-vis, FL…etc.) is essential. The preferred candidate will have a deep understanding of the chemistry of the main-group elements. Experience with DFT or quantum-chemical calculations is also preferred
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Posting Details Position Details Title Post-Doctoral Positions Atomic Physics/Quantum Information Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington Position
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on critical areas including artificial intelligence, cybersecurity, cyber-physical systems, microelectronics, autonomous systems, advanced materials, quantum computing, and other emerging technologies. These 10
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biomedical science, quantum computing, and artificial intelligence and machine learning. The Luddy School of Informatics, Computing, and Engineering is the first of its kind and among the largest in
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/chiplets/interposer/wafer-scale), quantum, superconducting, machine learning, edge computing, and security/privacy in computer architecture. Digital Logic Design and VLSI – including ASIC/FPGA design for
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techniques (e.g. NMR, IR, UV-vis spectroscopy, Mass spectrometry, and X-ray diffraction) necessary for characterizing new molecules and polymers. Experience with photochemistry (e.g. quantum yield analysis
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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
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techniques (e.g. NMR, IR, UV-vis spectroscopy, Mass spectrometry, and X-ray diffraction) necessary for characterizing new molecules and polymers. Experience with photochemistry (e.g. quantum yield analysis