Building a physical activity LiDAR dataset: collection, labeling, and augmentation for human activity recognition and premature infants.

• Assist in the collection of LiDAR data and perform various physical activities under different environmental conditions. 
• Support the setup, calibration, and operation of LiDAR sensors during data collection sessions. 
• Organize, preprocess, and manage collected point cloud datasets to ensure data quality and consistency. 
• Label and annotate LiDAR recordings with activity classes, temporal boundaries, and relevant metadata. 
• Verify annotation accuracy through quality control and validation procedures.
   

• Current undergraduate student at UM-Flint in Engineering, Computer Science or related fields.
• Basic programming skills.
   

• Preferred junior or senior standing.

Onsite
The work requires, or the supervisor approves a fully onsite presence.  Onsite is defined as a designated U-M owned or leased work location within or outside of the State of Michigan

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Job openings are posted for a minimum of three calendar days.  The review and selection process may begin as early as the fourth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended. 

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.