Seeking a postdoctoral researcher to develop AI-ready datasets for environmental data curation and analysis.
Responsibilities include establishing data standards beyond FAIR principles, building validation tools, automating data preparation workflows, and translating legacy datasets into machine-readable formats.
The candidate will collaborate with users and develop guidance, tools, and benchmark datasets to enhance AI/ML applications in earth and environmental sciences.
Requirements include a Ph.D. in related fields, programming skills (especially Python), experience with environmental datasets, and knowledge of metadata standards and AI workflows.
Preferred skills include familiarity with FAIR, data pipelines, and agent-based AI tools.
This full-time, 2-year appointment offers competitive salary, benefits, and opportunities to contribute to global environmental solutions.
Applicants should submit a CV, cover letter, and relevant code links by June 30, 2026.