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The Weed Science Research Group at Mississippi State University is offering a PhD opportunity focused on the intersection of machine learning, agriculture, and geospatial analytics. The successful candidate will collaborate with Dr. Luis Avila at Mississippi State University and Dr. Muthukumar Bagavathiannan at Texas A&M University. The research will address real-world agricultural challenges using AI-driven solutions, particularly in UAV-based weed detection, classification, and herbicide application optimization. Applicants should have a background in Agronomy, Crop Science, Agricultural Engineering, Precision Agriculture, or a related field, with strong coding skills in Python and a solid quantitative/statistical foundation. Preferred qualifications include experience with machine learning frameworks, geospatial tools, remote sensing or UAV imagery, and knowledge of crop production or weed science systems. The position provides a multidisciplinary research environment, strong industry and stakeholder engagement, opportunities for high-impact publications, and advanced training in AI applications for agriculture. The research group is committed to advancing the use of technology in agricultural systems, with a focus on practical, impactful outcomes. Applications must be submitted through the official application link. Direct messages or emails with application materials will not be considered. This is an excellent opportunity for candidates passionate about applying AI and machine learning to solve agricultural problems and contribute to innovative research in the field.