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Field
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The Q-NEXT National Quantum Information Science and Research Center based at Argonne National Laboratory invites applications for a postdoctoral position to conduct research in the field
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, equipment racks, making electrical connections, connecting gas and liquid supply lines, vacuum systems and associated hardware. Ability/experience in aligning optical systems. Use SolidWorks to design simple
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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, co-simulation, or hardware-relevant environments. Primary Responsibilities: Develop machine learning and AI methods for control, optimization, and cyber-resilient operation of distribution systems, DER
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and
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: Design and iterate custom-built single-molecule measurement platforms SWNT FET biosensors. Hardware Integration: Apply basic electrical engineering principles to interface biological sensors with low-noise
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following scientific areas: computer modelling, fabrication, and testing of flight hardware, as well as project management. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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learning, statistics, hardware acceleration, computational biology, or bioinformatics. Applicants should demonstrate experience or interest in future applications of computational methods to biological and