PhD in Precision Agriculture, Artificial Intelligence, and Machine Vision at Tennessee Tech University Tennessee Tech University in United States

PhD Graduate Research Assistantship at Tennessee Tech University in the School of Agriculture, focused on precision agriculture, artificial intelligence, machine vision, image processing, 3D reconstruction, and corn root phenotyping.

The position is supervised by Dr. Md. Abdul Momin and is supported by a USDA-NIFA funded project. The research aims to develop advanced phenotyping technologies for corn root systems using machine vision, AI, and 3D reconstruction techniques. The work includes field and laboratory experiments, collecting and processing root images, developing AI-based analysis methods, assisting with 3D reconstruction and data analysis, and preparing manuscripts and conference presentations. Collaboration is mentioned with researchers at Tennessee Tech and UIUC.

This is a fully funded Graduate Research Assistantship. The post says the position is available immediately, with a preferred start in Fall 2026.

Eligibility highlights: MS degree in Agricultural Engineering, Biosystems Engineering, Electrical Engineering, Data Science, or a related field; experience with Python, OpenCV, and image-processing workflows; strong interest in machine vision, AI, and precision agriculture. Preferred experience includes machine learning/deep learning, camera calibration, photogrammetry, 3D modeling, and geospatial or agricultural sensing systems.

How to apply: Send a single PDF containing a cover letter, CV, transcripts, and three references to [email protected]. Only complete applications submitted by email will be reviewed.