Student - Research Assistant - Edge AI / Embedded Systems

Utah Valley University • Main Campus - Orem, UT

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About The Position

Support a faculty-led, grant-funded undergraduate research project developing and testing environmental-sound classification and basic noise-reduction methods on edge-computing hardware. The assistant will work with audio datasets, Python-based machine learning, an NVIDIA Jetson platform, and a ZCU104 FPGA development board under faculty supervision.

This is a temporary student position with an anticipated project period from November 2026 through April 2027, subject to hiring authorization and available grant funding.

Requirements

• Must be a current UVU student.
• Must be enrolled in an ECE, Computer Engineering, Computer Science, or related STEM-field major.
• Basic understanding of computer programming and an interest in machine learning, digital signal processing, or computer/electrical engineering.
• Ability to write or learn simple Python scripts, manage data files, test and debug code, use development tools, keep organized research notes, and communicate results clearly.
• Ability to learn new software and hardware tools; follow laboratory and data-handling procedures; work independently and with a faculty supervisor; meet agreed project milestones; and document results carefully.
• Ability to learn research methods and document experiments accurately.

Nice To Haves

• Python or programming background.
• Interest in machine learning, audio processing, and embedded devices.
• Prior familiarity with Python is helpful. Prior Jetson or FPGA experience is not required.

Responsibilities

• Prepare and organize environmental audio datasets.
• Assist with preprocessing, sound-classification models, and basic noise-reduction experiments using Python and standard machine-learning tools.
• Assist with deploying and testing research code on NVIDIA Jetson and ZCU104 FPGA hardware, including setup, debugging, and reproducible test runs under supervision.
• Measure and compare prediction accuracy, inference time, power and energy use, memory, and hardware-resource usage; record and summarize findings.
• Maintain code, data logs, and experiment documentation.
• Help create a working demonstration, research poster, and short results summary.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed