Posted on November 15, 2023
Position Title:


Position Summary

Novel and emerging technologies and new data science approaches are converging to yield exciting capabilities to measure, monitor, and manage forests. The promise and potential of these new methods requires broadly transdisciplinary research and education to advance the understanding and management of forest systems. The Institute for Digital Forestry (IDF;https://ag.purdue.edu/digitalforestry/) is building on Purdue University’s strengths in forestry, engineering, computer science, aviation technology, and other disciplines to realize the potential of recent advances in remote sensing, big data, and artificial intelligence to ensure the productivity and sustainability of our global forests in the 21st century and beyond. The
research assistant/associate professors in this cluster hire will complement and extend the research capabilities of iDiF with skills from a broad range of backgrounds.

Expected Responsibilities:

The Institute for Digital Forestry at Purdue University will hire up to 3 non‐tenure track Research Assistant/Associate Professors to conduct high‐impact, mission‐oriented research in an array of areas including but not limited to next‐generation remote sensing with a wide range of sensors (e.g. RGB, LiDAR, multi/hyperspectral, synthetic aperture radar, etc.) and platforms (e.g. proximal, UAVs, manned aircraft, autonomous vehicles, and satellites) and cutting‐edge analytical methods to advance the science and practice of forestry. Emphasis is on developing and applying new approaches for forest inventory, forest health monitoring, carbon accounting, detection/monitoring of fire and other disturbances, etc. Successful candidates will be expected to collaborate widely within iDiF to develop and lead well‐funded, productive research programs that advance the development and application of novel and emerging technologies to measure, monitor, and manage forests. Joint appointment in other departments within and outside the College of Agriculture is possible. Successful candidates will be encouraged to contribute to Purdue’s teaching and engagement mission areas as relevant opportunities arise and may have opportunities to mentor students.


required Qualifications:
Qualified candidates must have a Ph.D. in forestry, ecology, remote sensing science and technology, computer science, engineering, or a related field by the preferred start date of August 2024. A record of scholarly publications, strong communication skills, and a history of collaborating across academic disciplines is essential. Successful candidates will have a track record of applying these skills to develop and demonstrate novel applications of emerging technology to understand and manage forests

preferred qualifications:
Applications must include a cover letter, a current curriculum vitae, official academic transcripts, statement of research interests, and contact information for three references. Applications should be assembled into a single PDF and submitted electronically to
for internal candidates or
https://careers.purdue.edu/job‐invite/23832/ for external candidates. A background check is required for employment in this position. Review of applications will begin Feb. 5, 2024, and will continue until the positions are filled. Address all inquiries to chair of the search committee, Dr. Brady Hardiman (bhardima@purdue.edu), Department of Forestry and Natural Resources, Purdue University. Please include “Digital Forestry Search” in the subject line of all emails.