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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut de physique et chimie des matériaux de Strasbourg Research Field Engineering Computer science Mathematics Researcher Profile
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neuromorphic computing. Coordinate tapeout and fabrication of silicon photonic devices with commercial foundries. Characterize fabricated devices using optical and electrical test setups. Collaborate with
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Position Description About Sandia: Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused
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of symmetry breaking, domain dynamics, and light–matter interactions with the development of concepts relevant to next-generation information technologies, including neuromorphic and low-power computing
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.** Responsibilities Lead photonic integrated circuit (PIC) design and simulation using commercial tools. Contribute to novel photonic computing architectures including optical in-memory and neuromorphic computing
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or neuromorphic computing, or mixed-signal microsystems. Strong experimental skills in device characterization, electrical measurements, data analysis, and troubleshooting. A Ph.D. in Electrical Engineering
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or neuromorphic computing, or mixed-signal microsystems. Strong experimental skills in device characterization, electrical measurements, data analysis, and troubleshooting. A Ph.D. in Electrical Engineering
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to work on memristive-based neuromorphic circuits. The Adaptive Devices and Microsystems lab at the George Washington University conducts research in novel types of devices, circuits and hardware
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scientific impact. This research may include applications in areas such as organic electrochemical and neuromorphic devices, but the central emphasis is on creating data-driven methods and infrastructure