What are the responsibilities and job description for the Student - Research Assistant - Edge AI / Embedded Systems position at Woodbury School of Business?
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:
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.
- Must be a current UVU student
- Enrolled in ECE, Computer Engineering, Computer Science, or a related STEM field major
- Python/programming background
- Interest in machine learning, audio processing, and embedded devices
- Prior Jetson/FPGA experience is not required.
- 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.