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Khanh N. Dang
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Associate Professor
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Khanh N. Dang
The University of Aizu
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The University of Aizu is recruiting researchers for a new Japan Science and Technology Agency (JST)-funded project on low-power, event-driven artificial intelligence chips for edge computing . The project will investigate hardware and computing approaches that enable AI workloads to operate efficiently on edge devices. Its central themes include event-driven AI, energy-efficient chip design, and the development of computing platforms for applications that require local, low-power intelligence. The team plans to recruit four PhD researchers and one to two postdoctoral researchers . Successful researchers will contribute to the project’s work on AI hardware and edge-computing technologies within the University of Aizu research environment. The project is scheduled to run from January 2027 to June 2030 and is supported by JST. Interested researchers should consult the IRIS project details and contact the team for further information about the available positions.
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