PhD Opportunity in Machine Learning for Agriculture

PhD Opportunity in Machine Learning for Agriculture Mississippi State University The Weed Science Research Group at Mississippi State University is seeking a highly motivated PhD student to join our research group and collaborate with Dr. Muthukumar Bagavathiannan at Texas A&M University on a project at the intersection of machine learning, agriculture, and geospatial analytics. This position will focus on developing AI-driven solutions for real-world agricultural challenges, including: • UAV-based weed detection and classification • UAV-based herbicide application optimization Required Background • Bachelor’s degree in Agronomy, Crop Science, Agricultural Engineering, Precision Agriculture, or related field • Strong coding skills (Python required; R is a plus) • Solid quantitative and statistical foundation Preferred Experience • Machine learning frameworks • Geospatial tools • Remote sensing or UAV imagery • Understanding of crop production or weed science systems This PhD position offers: A multidisciplinary research environment - Strong industry and stakeholder engagement - Opportunities for high-impact publications - Training at the forefront of AI applications in agriculture