路易斯安那州立大学 招全奖 硕士 博士 - 长期有效
4100
Agricultural Robotics & AI in Precision Agriculture
Job Title: Graduate Research Assistant
Department: School of Plant, Environmental, and Soil Sciences
Institution: Louisiana State University
Location: Baton Rouge, Louisiana
Position Type: Full-time
Anticipated Start Date: Summer/Fall Semester 2026
Responsibilities
Conduct innovative research in agricultural robotics, AI-driven decision support systems,
and computer vision applications for precision agriculture.
Design and implement autonomous systems and robotic platforms for crop monitoring and management.
Develop and apply advanced machine learning and deep learning models to solve complex challenges in precision agriculture.
Integrate remote sensing and sensor fusion techniques with robotic systems for real-time
data acquisition and analysis.
Publish findings in high-impact journals and present at leading conferences in robotics, AI, and agricultural technology.
Collaborate with industry partners and actively engage in extension programs to deliver research-based solutions that support sustainable agriculture.
Qualifications
Bachelor's or master's degree in Agricultural Engineering, Computer Engineering, Mechanical Engineering, Geography, Crop Science, or related fields with strong emphasis on robotics, artificial intelligence, and computer vision.
Hands-on experience in robotic system design, sensor integration, and automation technologies.
Proficiency in programming languages (e.g., Python, C++, ROS) and data analysis tools
for agricultural applications.
Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) for image processing.
Familiarity with remote sensing, GIS, and spatial analysis for precision agriculture.
Strong communication skills and ability to work in multidisciplinary teams.
Application Procedure: Details on applying to graduate programs at Louisiana State University are available at lsu.edu
Applications are due by February 1, 2026. Applicants are encouraged to contact Dr. Congliang Zhou ([email protected]) with a copy of your CV, research statement, unofficial transcripts, and contact information for three references
Job Title: Graduate Research Assistant
Department: School of Plant, Environmental, and Soil Sciences
Institution: Louisiana State University
Location: Baton Rouge, Louisiana
Position Type: Full-time
Anticipated Start Date: Summer/Fall Semester 2026
Responsibilities
Conduct innovative research in agricultural robotics, AI-driven decision support systems,
and computer vision applications for precision agriculture.
Design and implement autonomous systems and robotic platforms for crop monitoring and management.
Develop and apply advanced machine learning and deep learning models to solve complex challenges in precision agriculture.
Integrate remote sensing and sensor fusion techniques with robotic systems for real-time
data acquisition and analysis.
Publish findings in high-impact journals and present at leading conferences in robotics, AI, and agricultural technology.
Collaborate with industry partners and actively engage in extension programs to deliver research-based solutions that support sustainable agriculture.
Qualifications
Bachelor's or master's degree in Agricultural Engineering, Computer Engineering, Mechanical Engineering, Geography, Crop Science, or related fields with strong emphasis on robotics, artificial intelligence, and computer vision.
Hands-on experience in robotic system design, sensor integration, and automation technologies.
Proficiency in programming languages (e.g., Python, C++, ROS) and data analysis tools
for agricultural applications.
Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) for image processing.
Familiarity with remote sensing, GIS, and spatial analysis for precision agriculture.
Strong communication skills and ability to work in multidisciplinary teams.
Application Procedure: Details on applying to graduate programs at Louisiana State University are available at lsu.edu
Applications are due by February 1, 2026. Applicants are encouraged to contact Dr. Congliang Zhou ([email protected]) with a copy of your CV, research statement, unofficial transcripts, and contact information for three references
