Post Doctoral Researcher

Posting Details

Position Information

Position Title Post Doctoral Researcher

Division College of Agriculture

Department Environmental Sciences

Number of hours per week 37.5

Days to be worked Monday, Tuesday, Wednesday, Thursday, Friday

Months per year Fiscal (12 months)

If modified, list months

Job Type Full-Time

Campus Main Campus

If other location, please indicate

Position Number 121050

Advertised Salary

Pay Basis Monthly

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 successful 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 include field and geospatial data collection and analysis, developing predictive models and decision-support tools, publishing research, mentoring students, and collaborating with research, Extension, and education partners.

This is a grant-funded, temporary full-time position (24 months).

• 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.

• 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 one or more of the following:

Agroforestry systems, including alley cropping, silvopasture, forest farming, riparian buffers, or windbreaks. Experience with forest inventory, vegetation mapping, ecological modeling, or ecosystem service assessment.

Special Instructions to Applicants

Employment is contingent upon successfully completing a criminal background check as mandated by Tennessee State University.

Official transcripts for positions which require a post-secondary undergraduate degree, advanced degree and/or certification must be presented upon hire.

An unofficial transcript may be attached in the “Transcript” section.

You will be required to provide names and contact information for three references during your application to the posting. If you are the recommended candidate for the position, our online hiring system will automatically generate solicitation for these letters using contact information you provided.

Open Date 07/17/2026

Close Date 08/17/2026

Job Category Administrative/Professional

Requisition Number

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.

Quick Link (Use the "Apply for this Job" box below)./10893

Reference Letter

References

Required

Minimum References Required 2

Recommendation Deadline