The Forest Biometrics Lab at the University of Tennessee is now accepting applications for an M.S./Ph.D. research assistantship under the supervision of Dr. Sheng-I Yang. The student will work on a research project in forest biometrics and measurements. Topics include, but are not limited to, : (1) developing effective statistical models to predict growth and yield for planted and natural forests; (2) identifying key variables that affect forest carbon pools in Tennessee forests, and (3) providing metrics to quantify wood utilization. The incumbent will be responsible for presenting research results at professional meetings, publishing relevant work in peer-reviewed journals, and assisting in undergraduate education. The incumbent can start in spring or fall 2023. This assistantship pays monthly stipends and covers health insurance and tuition.
A B.S. or M.S. degree in forestry, natural resources, ecology, environmental science, statistics, or a related field is required. A strong knowledge of inferential statistics and data analytics and experience in computer programming, statistical analysis or data management are essential. Strong written and oral communication skills in English and self-motivation, perseverance, and the ability to work independently and collaboratively are important.
Interested candidates should email the following material to Dr. Sheng-I Yang (email@example.com):
(1)A description of the candidate’s academic experience, research interests and career goals.
(2)A curriculum vitae (CV) with contact information for three professional references.
(3)A copy of unofficial undergraduate and graduate transcripts.
(4)A copy of an unofficial GRE transcript if the GRE has already been taken.
(5)One or two examples of key research publications.