Postdoctoral Associate in AI and Agricultural Technology
Postdoctoral Associate opportunity in
AI + Agricultural Technology
at the
University of Tennessee, Knoxville
, in the Department of Biosystems Engineering and Soil Science.
The position sits at the intersection of
artificial intelligence
,
machine learning
,
computer vision
,
embedded/edge computing
,
sensors
,
robotics
, and
agricultural technology
, with an added interest in translating technical work into hands-on learning experiences and STEM education.
Location:
Knoxville, Tennessee, United States. The role involves hands-on, on-site technical work.
Eligibility highlights:
Ph.D. in Electrical Engineering, Computer Science, Biosystems/Agricultural Engineering, STEM Education, or a closely related field; experience with AI/ML, computer vision, embedded systems, sensors, microcontrollers, or robotics hardware; strong Python and communication skills; ability to work independently and in interdisciplinary teams; U.S. work authorization without employer-sponsored visa sponsorship.
Preferred background:
agricultural technology or precision agriculture, curriculum development, K-12/community college outreach, communication with non-technical audiences, IoT sensor networks, agricultural robotics, and instructional content creation (e.g., Jupyter notebooks or videos).
Timing:
start date expected in October or November. The poster is currently identifying potential candidates ahead of the formal posting.
How to apply:
Interested candidates should email
[email protected]
with the subject line “AI in Classroom Postdoc.” Formal application will later be required through the University of Tennessee online application system.
