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Texas A&M University seeks an Assistant Professor in Forest Ecology and Modeling Research, based at the Blackland Research and Extension Center in Temple, Texas. The role emphasizes developing and leading a research program focused on forest sustainability, health, and productivity.
The successful candidate will conduct fundamental research, collaborate with various professionals, secure extramural funding, and contribute to graduate student training. Candidates should possess a Ph.D. in a relevant field and demonstrate strong research and communication skills.
Assistant Professor – Forest Ecology and Modeling Research (12‑month, non‑tenure track) at TexasA&M AgriLife Research. The position is fully research‑based, administratively located at the Blackland Research and Extension Center in Temple, Texas, and academically affiliated with the Department of Ecology and Conservation Biology at TexasA&M University in CollegeStation,TX. The successful candidate will develop a nationally recognized, externally funded, collaborative, and self‑sustaining research program focused on the sustainability, health, productivity, and marketability of forested landscapes in Texas and beyond.
Stationed at TexasA&M AgriLife Blackland Research and Extension Center in Temple, Texas. The candidate will collaborate with USDA‑ARS scientists, USDA‑NRCS, and Texas State Soil and Water Conservation Board staff, as well as with TexasA&M University faculty and other AgriLife units.
Salary commensurate with qualifications. Benefits include health, dental, vision, life and long‑term disability insurance; 12‑15 days of annual paid holidays; up to eight hours of paid sick leave and at least eight hours of paid vacation each month; and automatic enrollment in the Teacher Retirement System of Texas.
Equal Opportunity/Veterans/Disability Employer.
Applicants should upload a cover letter (two‑page limit), curriculum vitae, a list of three references with contact information, and a vision statement of research and service (two‑page limit). The application screening process will begin on October1,2025, and the position will remain open until a suitable candidate is identified.