Oregon State University
2 weeks ago
Postdoc in Lidar Remote Sensing of Marine Plankton at Oregon State University Oregon State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Competitive stipend plus health insurance; appointment up to 2 years at 1.0 FTE (12 months).
Deadline
Nov 15, 2026
Country
United States
University
Oregon State University

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About this position
Postdoctoral position at Oregon State University in the Behrenfeld Lab, Department of Botany and Plant Pathology, focused on lidar remote sensing of marine plankton.
The project centers on retrievals of ocean plankton properties from airborne High Spectral Resolution Lidar (HSRL), including biomass profiling, chlorophyll fluorescence stimulation, diel vertical migration, and particulate backscattering. The work supports the 2027 CoSense field campaign in the eastern Mediterranean.
Applicants should have a PhD in a life science or computational field completed by the start date. Preferred experience includes lidar or airborne remote sensing, bio-optics, and plankton ecology, along with programming/analysis skills in Python, R, MATLAB, Java, or C/C++ and methods such as PCA/EOF, GAM, machine learning, and time-series analysis.
The position offers a competitive stipend plus health insurance and is available for up to 2 years at 1.0 FTE. The application window is 23 Sep–15 Nov 2026, with a start date of March 2027 (negotiable).
To apply, email [email protected] with a one-page cover letter, CV, and 3 references combined into a single PDF.
Funding details
Competitive stipend plus health insurance; appointment up to 2 years at 1.0 FTE (12 months).
What's required
PhD in a life science or computational field completed by the start date. Preferred background includes lidar or airborne remote sensing, bio-optics, and plankton ecology. Strong programming and analysis skills in Python, R, MATLAB, Java or C/C++, plus experience with PCA/EOF, GAM, machine learning, and time-series analysis are preferred.
How to apply
Email [email protected] with a one-page cover letter, CV, and three references as a single PDF. Apply during the open window from 23 Sep to 15 Nov 2026.
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