Undergraduate Research Assistant - Master 2 Undergrad

Miami University Alumni AssociationPoplar Springs, GA
Onsite

About The Position

We are seeking motivated and versatile Undergraduate Research Assistants to join a multidisciplinary research team working in advanced manufacturing and workforce development at Miami University’s Advanced Manufacturing Workforce and Innovation Hub. The student will gain hands-on research experience working with advanced manufacturing equipment, robotics, Artificial Intelligence (AI), computer vision, and Extended/Mixed Reality (XR/MR). The position will focus on two primary areas: Testing, Evaluation, and Data Collection, and Research and Development Support.

Requirements

  • Undergraduate students in Engineering, Engineering Technology, Robotics, Mechatronics, Computer Science, Information Technology, Manufacturing, Automation, or a related technical field.
  • Hands-on, dependable, technically curious, and eager to learn.

Nice To Haves

  • Experience with programming, robotics, manufacturing, AI, computer vision, XR/MR, data analysis, or industrial automation is beneficial but not required.

Responsibilities

  • Support testing and evaluation of XR/MR, AI, robotics, and advanced manufacturing applications.
  • Assist with laboratory and equipment setup involving CNC machines, milling machines, collaborative robots, pallet trucks, and other manufacturing systems.
  • Support participant testing and human-factors evaluations, including collection of user feedback and performance data.
  • Assist with image annotation and development, cleaning, and validation of computer-vision datasets.
  • Test system functionality, identify and document issues, and support troubleshooting.
  • Assist with system demonstrations, deployment, user training, and validation.
  • Support development and integration of XR/MR applications for manufacturing safety, operation, maintenance, and workforce training.
  • Assist with computer vision, Generative AI, and Agentic AI development and integration.
  • Support development of immersive work instructions for manufacturing equipment and processes.
  • Assist with programming, robotics, hardware/software integration, and manufacturing equipment as needed.
  • Support preparation of technical documentation, research materials, datasets, and project deliverables.
  • Collaborate with faculty, researchers, students, and industry partners to develop and improve project technologies.
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