ESS-DIVE Community Engagement Lead Scientist
The ESS-DIVE Project at Lawrence Berkeley National Laboratory (LBNL) has an exciting interdisciplinary opportunity for a ESS-DIVE Community Engagement Lead Scientist to work with the DOE’s environmental science community in dramatically improving the access and usability of their datasets and facilitating data integration through community engagement and adoption of community standards. The project will involve working with the DOE’s Environmental System Science (ESS) community as well as the broader earth science informatics community to enable ESS scientists to curate and publicly share data that are FAIR (Findable, Accessible, Interoperable, Reusable). We seek talented individuals with training in earth and environmental sciences, and a strong aptitude for and interest in data management and data science.
What You Will Do:
Research FAIR data practices as they apply to ESS-DIVE and ESS science, and lead the development of recommendations for ESS-DIVE and the community to adhere to FAIR principles.
Coordinate and participate in ESS-DIVE efforts to research, provide, and adopt community data/metadata standards and data management best practices for diverse data types. Translate standards into actionable capabilities to enable data integration and advanced search within ESS-DIVE.
What Is Required:
Ph.D. or equivalent experience in the earth and environmental sciences, informatics, or data science related fields.
Graduate or postdoctoral research experience in field measurements, analysis, management or modeling of complex and diverse datasets.
For full description, please visit https://jobs.lbl.gov/jobs/ess-dive-community-engagement-lead-scientist-3097 job # 91403. Apply by November 15, 2020 to receive full consideration.