Student - Research Assistant - Edge AI / Embedded Systems

Position Announcement 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. Temporary student position; anticipated project period: November 2026 through April 2027, subject to hiring authorization and available grant funding.Summary of Responsibilities

Duties include:

• Prepare and organize environmental audio datasets; assist with preprocessing, sound classification models, and basic noise-reduction experiments using Python and standard ML 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/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.

Qualifications / Licenses / Certifications

• Must be a current UVU student
• Enrolled in ECE, Computer Engineering, Computer Science, or a related STEM field major

Preferred Qualifications:

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

Knowledge / Skills / Abilities

• Basic understanding of computer programming and an interest in machine learning, digital signal processing, or computer/electrical engineering. Prior familiarity with Python is helpful.
• 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.

Benefits

Student positions are ineligible from the university’s full-time employee benefits package and part-time offerings.

For more information on services offered to students, visit https://www.uvu.edu/studentlife/. EEO Statement:

UVU employment decisions are made on the basis of an applicant’s qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.