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Field
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-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference
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systems, optical and electronic measurement tools, data acquisition hardware, and standard laboratory equipment. Physical Demands and Work Environment Work is performed in a laboratory setting and may
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About the Opportunity This postdoctoral position offers an opportunity to conduct leading-edge research in embedded security with applications to healthcare and medical device cybersecurity
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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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--computational experience in simulating/implementing quantum algorithms for field theories on quantum hardware. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments
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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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activities. We also have access to real quantum hardware, including VTT’s Q50 and Helmi machines and Aalto’s Q20, all located right downstairs from our offices. In addition, access to other leading commercial
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, including hardware interlocks Ability to work independently and collaboratively in multidisciplinary teams, including engineers, scientists, and technical staff. Knowledge is expected in the following areas
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for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control, supported by physics-based