The IGLab | Precision Pest Management at LSU invites applications for two Graduate Research Assistant positions (MSc or PhD level) in the areas of precision pest management, machine learning, and GIS-based remote sensing analysis. These positions offer a unique opportunity to develop professional skills while contributing to cutting-edge research within a collaborative and interdisciplinary environment.
Two projects are currently available:
Project 1 focuses on insect and weed detection using machine learning, image analysis, computer vision, unmanned aerial systems (UAS), and robotics.
Project 2 focuses on remote sensing using drone and satellite imagery, as well as the development of web-based applications for data analysis and decision support.
Successful candidates will be involved in designing and conducting research experiments, collecting and analyzing field and geospatial data, presenting findings at scientific conferences, and publishing in peer-reviewed journals. Students will work closely with experts across disciplines including Entomology, Agronomy, Biological and Agricultural Engineering, Statistics, Geography, and Computer Science.
Applicants should meet the following requirements:
Hold a Bachelor’s or Master’s degree in a relevant field such as computer science, geography, geospatial sciences, biological or agricultural engineering, or agricultural sciences.
Possess strong programming skills in Python, R, JavaScript, or similar languages.
Demonstrate proficiency in software such as ArcGIS Pro, QGIS, and Google Earth Engine.
Have experience with machine learning, computer vision, image analysis, and remote sensing.
Have experience operating drones and be willing to obtain an FAA Part 107 Remote Pilot Certificate.
Show strong written and verbal communication skills in English, with a demonstrated research background.
