A research assistant position in Machine Learning Edge Accelerators is available in the Departments of Electrical and Communication Engineering, United Arab Emirates University, UAE. The RA candidate will develop an embedded system for on-device using machine learning (ML) capabilities. The RA will design, implement, and test innovative ML edge hardware accelerators within the stringent power, footprint, processing, and storage constraints.
Minimum Qualification
Applicants must hold a BSc. degree or equivalent degree in electrical engineering, computer engineering. - Applicants must have prior experience in machine learning, embedded systems, and edge devices.
Preferred Qualification
Experience in machine learning, embedded systems, and edge devices. - Prior publications in machine learning, embedded systems, and edge devices.
Special Instructions to Applicant
Submit a detailed CV
Close Date Kindly apply before the closing date.
01/05/2026
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