Pantropical Vegetation Dynamics Postdoc: Climate-Ecosystem Modeling

Lawrence Berkeley National Laboratory; San Francisco (CA); On-site; USD 79,000 - 107,000; Full time

Benefits offered by this job

Health and retirement benefits

Winter Holiday Shutdown

Parental bonding leave

Job summary

Lawrence Berkeley National Laboratory is seeking a Pantropical Vegetation Dynamics Postdoctoral Fellow to combine observational synthesis, ecological theory, and numerical models for tropical forest dynamics within Earth system models. Work includes testing ELM-FATES against site and pantropical data and contributing to NGEE-Tropics research goals.

The role emphasizes data-intensive analysis, collaboration across institutions, and publication of results in peer-reviewed journals.

Qualifications

• PhD in a relevant field (e.g., climate science, ecology, plant physiology, forestry, geography).
• Background in data-intensive processing and analysis using open-source code (e.g., Python, R).
• Proficiency in code documentation and reproducibility; experience with GitHub, Jupyter Notebook, R Markdown.

Responsibilities

• Run and test the ELM-FATES model against observational datasets from pantropical scales.
• Apply ecological and plant physiology theory to explore mechanistic controls and trait variation.
• Analyze complex NGEE-Tropics datasets (eddy covariance, forest census, remote sensing).
• Investigate land–atmosphere feedbacks under varied climate/land-use scenarios.
• Publish results in high-quality journals and contribute to proposals.

Skills

data-intensive processing

analysis

Python

R

Jupyter Notebook

R Markdown

GitHub

Education

PhD in climate science/ecology/forestry/geography

Tools

Python

R

FORTRAN

Job description

Lawrence Berkeley National Laboratory is seeking a Pantropical Vegetation Dynamics Postdoctoral Fellow to combine observational synthesis, ecological theory, and numerical models for tropical forest dynamics within Earth system models. Work includes testing ELM-FATES against site and pantropical data and contributing to NGEE-Tropics research goals.

The role emphasizes data-intensive analysis, collaboration across institutions, and publication of results in peer-reviewed journals.