Postdoc: AI-Ready Earth Data & Automation Scholar

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 60,000 - 80,000; Full time

Job summary

Lawrence Berkeley National Laboratory is looking for a postdoctoral researcher to enhance AI readiness of environmental datasets for the U.S. Department of Energy’s ESS-DIVE repository. The role involves developing guidance on AI-ready data, building validation tools, and automating dataset preparation. Candidates should hold a Ph.D. in a related field and possess strong Python programming skills, alongside experience with environmental datasets. The lab emphasizes inclusive values and equal opportunity in its hiring practices.

Qualifications

• Ph.D. in environmental science, earth science, informatics, or a closely related field.
• Strong programming skills, especially Python or comparable scientific programming.
• Experience working with environmental/scientific datasets.

Responsibilities

• Develop guidance for AI-ready data including metadata and formatting requirements.
• Build tools to validate datasets for AI readiness.
• Automate dataset preparation using structured workflows.

Skills

Python programming

Data cleaning

Data analysis

Communication skills

Experience with LLM-assisted workflows

Education

Ph.D. in environmental science or related field

Tools

netCDF

Job description

Lawrence Berkeley National Laboratory is looking for a postdoctoral researcher to enhance AI readiness of environmental datasets for the U.S. Department of Energy’s ESS-DIVE repository. The role involves developing guidance on AI-ready data, building validation tools, and automating dataset preparation. Candidates should hold a Ph.D. in a related field and possess strong Python programming skills, alongside experience with environmental datasets. The lab emphasizes inclusive values and equal opportunity in its hiring practices.