Description:
The Department of Forestry and Natural Resources at Purdue University is seeking a Ph.D. student to fill a Graduate Research Assistantship position in digital forestry. The successful applicant will engage in research focused on tree mortality mapping at NEON sites using multi- source remote sensing data including airborne LiDAR, orthorectified imagery, Planet data, and Sentinel-2 imagery. The successful applicant will work closely with Dr. Jianmin Wang and Dr. Songlin Fei and have the opportunity to collaborate with scientists in the Institute for Digital Forestry at Purdue University (https://ag.purdue.edu/digital-forestry/). The assistantship includes a stipend, a tuition waiver, and health insurance.
Requirements:
Preferred qualifications include
- a M.S. degree in remote sensing, ecology, forestry, or a related field.
- experience with remote sensing data.
- strong quantitative and writing skills.
- experience in machine learning/deep learning is desirable but not mandatory.
Proficient English is required for international applicants whose native language is not English (https://www.purdue.edu/gradschool/admissions/how-to-apply/apply- toefl.html).
To apply:
Prospective applicants should send their Cover Letter, CV (including GPA), unofficial transcripts, and contact information for three references to Jianmin Wang (wang5736@purdue.edu) with the subject line “Digital Forestry GRA.” Purdue University is an equal-opportunity, affirmative-action employer and we encourage applications from historically underrepresented groups. The review of applications will begin immediately and the position is available to start as early as Fall 2024.
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