The Department of Agricultural and Biosystems Engineering at South Dakota State University is offering fully funded MS and PhD Graduate Research Assistantships (GRA) starting Spring 2026 or Fall 2026. These positions are part of Dr. Pappu Kumar Yadav’s Machine Vision and Optical Sensor (MVOS) Lab, focusing on AI-enabled robotic systems for real-time nitrogen side-dressing in corn. The research integrates multispectral and hyperspectral imaging, machine learning, computer vision, and agricultural robotics to enable in-season, data-driven nitrogen management. Students will gain hands-on experience with advanced imaging sensors, robotics, and precision agriculture field trials, and are expected to disseminate research outcomes through peer-reviewed publications and conference presentations.

Applicants should hold a BS or MS in Agricultural/Biosystems Engineering, Electrical Engineering, Mechanical Engineering, Robotics, Mechatronics, Computer Science, or a related field, with a minimum GPA of 3.0. Strong programming skills in Python, MATLAB, C, or C++ are required, along with interest or experience in AI/machine learning, computer vision, robotics, sensing systems, multispectral/hyperspectral imaging, agricultural robotics, ROS, or embedded systems. International applicants must meet English proficiency requirements (TOEFL iBT ≥ 80 or IELTS ≥ 6.5). Prior research experience, publications, and experience with agricultural field experiments are preferred.

The assistantships provide full tuition coverage, competitive monthly stipends, and travel support for conferences. Successful candidates will work in interdisciplinary environments at the intersection of agriculture, engineering, and artificial intelligence. To apply, email a single PDF containing a cover letter, CV, transcripts, test scores, publications, and contact information for three references to Dr. Pappu Kumar Yadav ([email protected]) with the subject line 'GRA2026-MVOSLab-SDSU'. Shortlisted candidates will be invited for an interview and must complete the formal application process through the SDSU Graduate School.

For more information, visit the MVOS Lab website or the SDSU admissions page. This opportunity is ideal for motivated, research-driven students interested in precision agriculture, AI, robotics, and sensor technologies.