PhD Assistantship in Forest Biometrics – University of Georgia
Warnell School of Forestry and Natural Resources - University of Georgia, Athens
Athens, GA, USA
Last Date to Apply
The Plantation Management Research Cooperative at the Warnell School of Forestry and Natural Resources in the University of Georgia is seeking applicants to fill a Graduate Research Assistant position at the Ph.D. level in Forest Biometrics, available in August 2022.
The Plantation Management Research Cooperative is a long-term partnership between the forest industry and the Warnell School to improve plantation productivity introducing tools that help forest planners and silviculturists to make better decisions. The cooperative measures and maintains several long-term trials in loblolly pine and slash pine in the southeast United States, and over the last 45 years, it has produced the growth and yield systems used by the industry.
· We are looking for applicants who are interested in participating in research to improve growth and yield predictions for the forest industry.
· The project aims at improving stand table projection methods for thinned plantations, using information from experiments installed over the southeast US over the last 20 years.
How to apply:
Email Dr. Cristian Montes (firstname.lastname@example.org) the following documents a single PDF file. Add “Ph.D. application” as the subject line.
1) Cover letter, explaining your qualifications, your research interests, and relevant prior experiences.
2) Curriculum Vitae
3) Transcripts of your undergraduate and graduate courses
4) If selected, expect to have three references at time of an interview.
Students with a background in the following disciplines are encouraged to apply:
· MS in Forest Biometrics, Forest Silviculture, or Environmental Sciences, with a strong background in statistics, data science or engineering.
· Demonstrated knowledge in data analysis using SAS, R or phyton.
· Programming skills in Pascal, Fortran or C++.
· Experience with intensive forest plantations.
· Experience with field measurements.
· Strong written and oral skills.
· Team worker, with a high level of intellectual curiosity, that can work independently.
· International students must have acceptable TOEFL scores.