Sathishkumar Samiappan
1 month ago
Postdoctoral Associate in AI and Agricultural Technology University of Tennessee, Knoxville in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
The University of Tennessee Knoxville

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About this position
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.
Funding details
Available
What's required
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 programming skills; strong written and spoken communication skills; ability to work independently and collaboratively in an interdisciplinary team; authorization to work in the United States without employer-sponsored visa sponsorship. Preferred: background in agricultural technology or precision agriculture, curriculum development or K-12/community college outreach, experience with non-technical audiences, familiarity with IoT sensor networks or agricultural robotics, and experience creating instructional resources such as Jupyter notebooks or videos.
How to apply
Email Sathishkumar Samiappan at [email protected] with the subject line “AI in Classroom Postdoc” to express interest. Formal applications must be submitted through the University of Tennessee online application system once the position is posted.
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