AI/ML Postdoc for Gulf Coast Ecosystem Dynamics

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 70,000 - 100,000; Full time

Job summary

Oak Ridge National Laboratory’s CHAS Group seeks a Postdoctoral Research Associate to develop AI/ML methods for Gulf Coast ecosystem dynamics, integrating multimodal data across geospatial and environmental domains. You will collaborate with scientists to advance understanding of vegetation, land-surface dynamics, and disturbance responses.

The role emphasizes explainable AI, reproducible AI-ready workflows, and dissemination of results through journals and DOE data repositories.

Qualifications

• Ph.D. in Earth/Environmental Sciences, Hydrology, Computational Sciences, Remote Sensing, Data Science, or related field.
• Experience developing or applying AI/ML for Earth/environmental/geospatial problems.
• Proficiency in Python, GEE, or R, and in scientific computing/AI frameworks.
• Experience analyzing large, heterogeneous environmental/geospatial/time-series data.
• Strong scholarly output and presentations at conferences.
• Excellent written and oral communication in a collaborative setting.

Responsibilities

• Develop and apply AI/ML methods to integrate geospatial, remote-sensing, hydrological, meteorological, and environmental datasets across the Gulf Coast.
• Intergrade remote sensing approaches and AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses to disturbances.
• Apply explainable AI and statistics to identify drivers of ecosystem change and resilience.
• Curate reproducible AI-ready datasets, workflows, and research software for EGRET.
• Collaborate with DOE labs and universities to advance project objectives and present results at conferences.

Skills

AI/ML methods

Python

GEE

R

Remote sensing

Geospatial data analysis

Time-series analysis

Scientific computing

Education

Ph.D. in Earth/Environmental Sciences or related field

Tools

GEE

Cloud image processing

Job description

Oak Ridge National Laboratory’s CHAS Group seeks a Postdoctoral Research Associate to develop AI/ML methods for Gulf Coast ecosystem dynamics, integrating multimodal data across geospatial and environmental domains. You will collaborate with scientists to advance understanding of vegetation, land-surface dynamics, and disturbance responses.

The role emphasizes explainable AI, reproducible AI-ready workflows, and dissemination of results through journals and DOE data repositories.