Publisher
source

Oregon State University

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

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Country

United States

University

Oregon State University

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Keywords

Computer Science
Environmental Science
Biology
Time Series Analysis
Earth Science
Python Programming
Biophotonics
Phytoplankton Ecology
Java Programming
Statistics
Physics
ML

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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.

More information can be found here

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