Job Summary
The Purdue University Institute for Digital Forestry invites applications for a postdoctoral position. Successful applicants will become part of a multidisciplinary cohort, collectively addressing research areas of interest. Fellows will be co-mentored by faculty of different disciplines and include development of both technical and professional skills to ensure the most successful outcome for individual growth and career preparation. The Institute for Digital Forestry is a transdisciplinary collaboration of over 30 investigators from the colleges of Agriculture, Engineering, Liberal Arts, Libraries, Polytechnic and Science that integrates expertise in AI/ML, computer applications and modeling, geosciences, satellite and drone sensing platforms, social sciences, education, and forest biology, ecology, health, and management for sustainable and equitable rural and urban forest management.
You will utilize ecological and environmental data to parameterize and define “what if” scenarios and models that increase forest carbon stocks. The Fellow will be responsible for compiling existing datasets, and when applicable, generating new datasets that optimize Carbon Smart Commodity management practices under current and future conditions. The postdoc will be hosted by Brady Hardiman and Morgan Furze (Forestry & Natural Resources). Relevant PhD fields are forestry or ecology, with an emphasis on carbon ecology, silviculture, and/or forest modeling.
Required Qualifications
We seek highly motivated, well-organized individuals with strong quantitative skills to work on funded disciplinary and interdisciplinary projects and assist development of additional funded programs. A PhD in a discipline appropriate to the specific research is necessary.
Review Date
Review of applications will begin in January 2025 and continue until the positions are filled.
Duration of Appointment
Initial appointments are for 24 months subject to satisfactory performance review at 12 months. Some positions may be renewed beyond 24 months based on available funding.