UPDATE: The positions have been filled. Thank you for your attention. If you are still interested in our research, you can consider taking Prof. Shao’s ME 498 “Manufacturing Data and Quality Systems” offered in Fall 2019.
ADM Lab is seeking self-motivated undergraduate research assistants to conduct research for a project related to ultrasonic metal welding for electric vehicles. This project aims to promote big data enabled manufacturing through developing and applying methodologies in a wide range of fields, including manufacturing, material sciences, machine learning, and computer vision.
UG researchers are expected to work closely with graduate students on the following tasks:
- Collecting and analyzing real-world manufacturing data through operating an ultrasonic welder in ADM lab
- Performing experiments to measure mechanical and material properties
- Applying machine learning and computer vision techniques for data analytics
This position offers students an opportunity to advance their future career in the era of digital manufacturing. Supports for technical elective credits and other campus-wide undergraduate research programs will be provided.
- No previous experience is required, and training for experimental operation, programming and data analytics will be provided
- Can work for at least two semesters (5-10 hours per week on average)
- Can occasionally work outside the business hours (6pm-10pm, weekends)
- Have basic laboratory skills
- Have an ability to work in a team with attention to detail and organization
- Preferably can work in the summer semester
- Preferably has basic programming skills (Matlab, Python, etc.)
To apply, please send the following to Prof. Chenhui Shao (chshao (at) illinois (dot) edu) with subject heading “ADM Lab Undergraduate Research Assistant”
- One-page resume
- Unofficial transcript