5 complex-network Postdoctoral positions at Lawrence Berkeley National Laboratory in United States
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studies on quantum materials and complex oxides, with an emphasis on microelectronics applications. In addition to experimental work, the role includes applying machine-learning and AI-based approaches
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the full stack, and develop scalable classical simulations (e.g., tensor networks)--including performance bounds beyond brute-force classical simulability. This role is deeply collaborative with the Advanced
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systems, including cryostats. Proficiency in working with nanomaterials and nanoscale experimental techniques. Demonstrated ability to independently plan, execute, and complete complex research projects
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communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs. Experience
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devices. Apply fundamental principles to approach and address complex behaviors of MEA devices. Perform multi-physics simulation and modeling for water and CO2 electrolyzers. Work on meeting time-sensitive