Undergrad Research Assistant: AI, XR in Manufacturing

Miami University (Ohio); Oxford (OH); On-site; USD 17,000 - 21,000; Part time

Job summary

Miami University Hamilton Campus invites applications for an Undergraduate Research Assistant within the Advanced Manufacturing Workforce and Innovation Hub. The role covers hands-on work with advanced manufacturing equipment, robotics, AI, computer vision, and XR/MR across two main areas: testing/evaluation and development support.

Ideal candidates are undergraduates in related technical fields, eager to learn, and ready to contribute to workforce development initiatives this grant-funded

Qualifications

• Applicants should be undergraduate students in Engineering, Engineering Technology, Robotics, Mechatronics, Computer Science, Information Technology, Manufacturing, Automation, or a related technical field.
• The ideal candidate is hands-on, dependable, technically curious, and eager to learn. Experience with programming, robotics, manufacturing, AI, computer vision, XR/MR, data analysis, or industrial automation is beneficial but not required.
• This grant-funded position provides an opportunity to gain applied undergraduate research experience while working with a research team on emerging technologies in advanced manufacturing and workforce development.

Responsibilities

• Test XR/MR, AI, robotics, and manufacturing applications.
• Assist with lab setup including CNC machines, milling machines, collaborative robots, pallet trucks, and other manufacturing systems.
• Collect user feedback and performance data for analysis.
• Develop XR/MR applications for manufacturing safety, operation, maintenance, and training.
• Support programming, robotics integration, and documentation of project deliverables.

Job description

Miami University Hamilton Campus invites applications for an Undergraduate Research Assistant within the Advanced Manufacturing Workforce and Innovation Hub. The role covers hands-on work with advanced manufacturing equipment, robotics, AI, computer vision, and XR/MR across two main areas: testing/evaluation and development support.

Ideal candidates are undergraduates in related technical fields, eager to learn, and ready to contribute to workforce development initiatives this grant-funded