Post Doctoral Researcher

Job Title Post Doctoral Researcher Division College of Agriculture Department Environmental Sciences Job Description A post‑doctoral researcher position is available for a NASA‑funded project focused on agroforestry, precision agriculture, and environmental monitoring using Earth observation, GIS, remote sensing, and artificial intelligence (AI). The candidate will conduct interdisciplinary research integrating field measurements with NASA Earth observation data, UAV imagery, LiDAR, GIS, and machine learning to assess agroforestry systems, soil health, biodiversity, carbon sequestration, and ecosystem services. Responsibilities Design and implement field sampling protocols for agroforestry systems, forest farming, silvopasture, alley cropping, and other natural resource management projects. Conduct field sampling and environmental data collection for agroforestry and natural resource projects. Acquire, process, and analyze remotely sensed datasets including NASA Earth observation products, Landsat, Sentinel, LiDAR, UAV imagery, NAIP imagery, hyperspectral data, and other geospatial datasets. Develop predictive models, maps, and decision‑support tools for sustainable land management. Publish research, assist with grant writing, present findings at scientific meetings, and mentor students. Support outreach, stakeholder engagement, and collaboration with NASA and university partners. Specific Abilities/Experience Required Experience processing and analyzing satellite imagery, UAV imagery, LiDAR data, or other geospatial datasets. Proficiency in statistical analysis and programming using R, Python, or similar software. Knowledge of spatial statistics, predictive modeling, machine learning, or AI applications for environmental or agricultural systems. Effective demonstrated quantitative, analytical, and communication skills. Minimum Qualifications Ph.D. in agronomy, soil science, horticulture, agroforestry, forest biometrics, quantitative silviculture, forest ecology, geography, remote sensing, or related natural resources management discipline. Preference will be given to candidates with experience in agroforestry systems, including alley cropping, silvopasture, forest farming, riparian buffers, or windbreaks, and with experience in forest inventory, vegetation mapping, ecological modeling, or ecosystem service assessment. Special Instructions Employment is contingent upon successfully completing a criminal background check as mandated by Tennessee State University. Benefits Tennessee State University offers eligible employees a competitive benefits package that includes annual leave (vacation), sick leave, medical, dental, vision, life insurance, retirement, flexible benefits plans, and more. #J-18808-Ljbffr