Below are a list of areas where we will post job openings. Please check back because these openings are updated periodically.

The College of Forestry, Wildlife and Environment at Auburn University is an Equal Opportunity Employer and Educational Institution.

Faculty Positions

AUBURN UNIVERSITY IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER. It is our policy to provide equal employment opportunities for all individuals without regard to race, sex, religion, color, national origin, age, disability, protected veteran status, genetic information, sexual orientation, gender identity, or any other classification protected by applicable law.

To review positions available within the School of Forestry and Wildlife Sciences, please visit:

Assistant/Associate Professor of Disease Ecology

The search committee will begin reviewing applications on February 15, 2022 and will continue until the position is filled.  The candidate is expected to start this position in August, 2022.  For additional information please contact Dr. Sarah Zohdy at


Assistant Professor and Extension Specialist, Urban Forestry; Auburn University, Alabama

Review of applications will begin March 4, 2022 and will continue until a suitable candidate is hired.


Research Associate and Post-Doctoral Positions

Postdoctoral Fellow, Remote Sensing of Forest Biomass: College of Forestry, Wildlife and Environment, Auburn University, Auburn, Alabama.

Seeking a postdoctoral fellow to advance research in the assessment of forest biomass and carbon using remote sensing technologies, to begin Fall/Spring of 2022/2023. Current research in our Geospatial Analytics lab focuses on remote sensing applications in natural resources and forestry across multiple spatial scales, to advance ecosystem sciences.  The applicant hired to fill this position will develop methods and framework for the estimation and fine-scale mapping of forest biomass and carbon at multiple spatial scales, using light detection and ranging (lidar) data in conjunction with other earth observation data. In particular, the candidate will integrate field-based measurements with data derived from multiple remote sensing platforms using advanced modeling techniques for spatially comprehensive, accurate and detailed forest biomass and carbon stock estimations across landscapes (local, state, regional scales). This project is part of a large, interdisciplinary collaboration, with research and outreach in interrelated areas of forest carbon. The successfully candidate will be expected to effectively communicate across disciplines and maintain a strong record of scholarly publications.

Required Qualifications:

– A PhD in Forestry, Earth System Science, Environmental Engineering, Ecology, Ecosystem Science and Management, or a similar field, with a strong background in lidar remote sensing (particularly airborne lidar), machine learning and statistical modeling are required.

-Strong communication skills and demonstrated ability to work as part of a team and independently.

Publication record

Preferred Experience:

-Experience with biomass estimation and mapping using multi-source remote sensing data

Salary: $55,000/year

Last Date to Apply: 10/01/2022

How to Apply:

Interested applicants should submit a CV, names, and contact information for 3 references, and cover letter to Dr. Lana Narine at by October 1st, 2022. Please include Postdoctoral Fellowship in the subject header. The cover letter should include (i) a summary of the applicant’s research and analysis experience that are relevant to meeting the fellowship objectives and (ii) the applicant’s earliest possible start date.  All materials should be included in a single pdf document.

Assistantships (PhD, MS)

MS/PhD position to study oak regeneration in oak forests and/or oak dominant ecosystems the eastern United States

The College of Forestry and Wildlife Science (SFWS) at Auburn University has a two/three-year MS/PhD graduate assistantship starting from August of 2021. Oak decline has impacted millions of acres of forest across the eastern United States and continues to be a problem, making it imperative to regenerate species resistant to oak decline. White oak is more resistant to oak decline than most other oak species. However, there are long-term sustainability issues with white oak. Both field work and spatial technology (GIS/RS/GPS) and quantitative tools (statistical models) will be used to integrate remotely sensed data with site specific data to be collected during the project period to quantify/model ecosystem (or component) responses to both natural and anthropogenic disturbances such as tree regeneration, growth, inter- and intra-specific interaction, fire and biological invasion, fire regime-vegetation relationship, and ecosystem resilience.

The CFWS will provide a graduate research assistantship, including a stipend of approximately US $18,000(MS) and 20,000 (PhD) annually and full tuition waiver. Students are also eligible to participate in the Graduate Student Health insurance plan ( Individuals with degrees in forestry, natural resources, geosciences, and related areas with an experience in applying quantitative tools and spatial techniques to forestry and environmental problems are encouraged to apply.

Consideration of applications will begin immediately and will continue until the position is filled. Please send a cover letter that states your research interests, your curriculum vitae and transcript/course work, and the names and contact information for three references by email to Dr. Joseph Z. Fan ( and Dr. Heather Alexander (


PhD Graduate Assistantship: Remote sensing of Forest Health, College of Forestry, Wildlife and Environment, Auburn University, Auburn, Alabama.

We are seeking an ambitious candidate for a 3-year PhD program of research in the area of remote sensing of forest health, beginning Fall/Spring of 2022/2023. This is a fully funded PhD assistantship in the College of Forestry, Wildlife and Environment at Auburn University. Current research in our Geospatial Analytics lab focuses on remote sensing applications in natural resources and forestry across multiple spatial scales, including the use of lidar from airborne and spaceborne platforms, to advance ecosystem sciences.  The applicant hired to fill this position will conduct multi-scale research to detect and assess the movement of an emerging fungal pathogen of pine trees in the southeastern US. The PhD candidate will have a unique opportunity to learn and apply innovative remote sensing technologies and machine learning methods, including the acquisition and analysis of imagery and light detection and ranging (lidar) data from UAVs at the local scale, and integration of airborne lidar and satellite data for broader scale applications. They will also contribute to the dissemination of results through scientific publications and conference presentations. This project is part of a large, interdisciplinary, and multi-institutional collaboration that includes graduate students, postdocs, and scientists. As such, the ability to communicate across disciplines is critical. Qualified backgrounds include forestry, ecology, geography, natural resources, or closely related fields. Skills in GIS and remote sensing are also essential to completing this project.

Required Qualifications:

– MS in Forestry, Ecology, or closely related field

-Strong communication skills in oral and written English

– Completed coursework in Geographic Information Systems (GIS) and/or experience with remote sensing

Preferred Experience:

-Strong quantitative skills

-Publication record

Salary: $22,000/year

Last Date to Apply: 10/01/2022

How to Apply:

Interested individuals should contact Dr. Lana Narine at Please state “PhD Assistantship Position” in the email subject line and include: (i) your research interests (statement of interest), (ii) GRE and/or TOFEL scores, (iii) CV and (iv) unofficial transcripts. Review if applicants will begin immediately and remain open until filled.

More information about our graduate program can be found here:

Staff Positions

There are no current positions available. Please check back with us soon.