AI-Driven AgTech Education Postdoc: Curriculum & Kits

University of Tennessee, Knoxville; Knoxville (TN); On-site; USD 54,000 - 66,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Paid leave

Job summary

University of Tennessee, Knoxville welcomes a postdoctoral associate to advance AI and precision agriculture education by designing 24 classroom hardware kits and an applied-AI curriculum for secondary and community college educators in Tennessee. The role involves collaboration with engineers and educators, developing hands-on labs, and contributing to publications.

The appointment emphasizes low-cost hardware, edge devices, IoT sensors, and in-person summer institute delivery, with normal UT

Qualifications

• Ph.D. in Electrical Engineering, Computer Science, Biosystems/Agricultural Engineering, STEM Education, or a closely related field.
• Experience in AI/machine learning, computer vision, and/or embedded/edge-computing systems.
• Hands-on experience with sensors, microcontrollers or robotics hardware; strong Python skills; excellent communication; able to work independently and in a team.

Responsibilities

• Co-design and prototype modular, low-cost hardware kits for K-14 classroom use.
• Develop applied AI and computer vision curriculum content and hands-on labs.
• Support development of multimedia instructional resources (videos, notebooks).
• Assist with in-person modules of the summer institute as scheduling allows.
• Provide technical troubleshooting to educators deploying hardware kits.
• Contribute to project data collection, analysis, and dissemination through publications and presentations.
• Attend weekly mentoring and monthly full-team meetings; develop an IDP.

Skills

AI/ML

Computer vision

Python

Communication

Team collaboration

Education

PhD in Electrical Engineering/CS/Biosystems or related

Tools

Sensors

Microcontrollers

Robotics hardware

Job description

University of Tennessee, Knoxville welcomes a postdoctoral associate to advance AI and precision agriculture education by designing 24 classroom hardware kits and an applied-AI curriculum for secondary and community college educators in Tennessee. The role involves collaboration with engineers and educators, developing hands-on labs, and contributing to publications.

The appointment emphasizes low-cost hardware, edge devices, IoT sensors, and in-person summer institute delivery, with normal UT