Postdoc: Spatio-temporal modeling of forest dynamics
We are seeking a postdoctoral researcher with strong spatio-temporal modeling skills and an interest in applied forest ecology. The postdoctoral researcher will lead the development and application of a Bayesian dynamical model to predict regional forest dynamics informed by forest inventory data. Model outcomes will be used to help inform adaptive management approaches to promote ecosystem resilience and enhance long-term carbon storage. The postdoc will be supervised by Dr. Malcolm Itter within the Department of Environmental Conservation. See full job posting (here) for additional details. Review of applications will begin on August 30, 2024.
Grad student: Quantitative forest ecology
We are seeking a graduate student (MS/PhD) for the Fall 2024 semester. The student will contribute to ongoing research to understand the growth, mortality, and regeneration of eastern temperate forests under global change. The position involves a combination of field-based observation of New England forests and analysis of data using advanced statistical methodologies to model regional forest demography. The successful applicant will be a member of the Forest Ecology Lab, a diverse and inclusive group of quantitative forest ecologists, and will enroll in the graduate program in the Department of Environmental Conservation. A background in forestry, forest ecology, or biology is required with preference given to candidates with previous coursework and experience in mathematical and/or statistical modeling. The position provides a competitive stipend, tuition waiver, and full benefits through a combination of teaching and research assistanships. Interested candidates should send their application including resume, cover letter describing their research interests and interest in joining the Forest Dynamics Lab, along with contact information for two professional references to: Dr. Malcolm Itter ([email protected]).
We are seeking a postdoctoral researcher with strong spatio-temporal modeling skills and an interest in applied forest ecology. The postdoctoral researcher will lead the development and application of a Bayesian dynamical model to predict regional forest dynamics informed by forest inventory data. Model outcomes will be used to help inform adaptive management approaches to promote ecosystem resilience and enhance long-term carbon storage. The postdoc will be supervised by Dr. Malcolm Itter within the Department of Environmental Conservation. See full job posting (here) for additional details. Review of applications will begin on August 30, 2024.
Grad student: Quantitative forest ecology
We are seeking a graduate student (MS/PhD) for the Fall 2024 semester. The student will contribute to ongoing research to understand the growth, mortality, and regeneration of eastern temperate forests under global change. The position involves a combination of field-based observation of New England forests and analysis of data using advanced statistical methodologies to model regional forest demography. The successful applicant will be a member of the Forest Ecology Lab, a diverse and inclusive group of quantitative forest ecologists, and will enroll in the graduate program in the Department of Environmental Conservation. A background in forestry, forest ecology, or biology is required with preference given to candidates with previous coursework and experience in mathematical and/or statistical modeling. The position provides a competitive stipend, tuition waiver, and full benefits through a combination of teaching and research assistanships. Interested candidates should send their application including resume, cover letter describing their research interests and interest in joining the Forest Dynamics Lab, along with contact information for two professional references to: Dr. Malcolm Itter ([email protected]).