The internship involves supporting the coordination and organization of a climate modeling workshop, analyzing data using Python, and synthesizing workshop outcomes into reports and blog posts, all within a remote, research-focused environment.
Key Responsibilities
Coordinate and support a three-day WIEMIP workshop, including live note-taking and logistical arrangements
Compile, organize, and synthesize notes from presentations and discussions to identify key themes and outcomes
Assist in facilitating discussions during the workshop in collaboration with the project team
Develop and track follow-up actions post-workshop and communicate with participants
Organize and analyze data using Python and netCDF datasets, including creating visualizations
Contribute to writing a public-facing blog post summarizing the workshop and its results
Requirements
Background in Earth science or a closely related field such as atmospheric science, climate science, oceanography, geoscience, or environmental science; Earth sciences major preferred; no specific class year required.
Demonstrated experience in programming and data analysis using Python.
Experience processing, analyzing, and visualizing netCDF-formatted datasets, or a closely related scientific data format.
Strong written and verbal communication skills, including enthusiasm for explaining scientific concepts and results to diverse audiences.
Ability to work effectively in teams and independently, including in a fully remote setting.
Strong organizational skills and attention to detail when tracking tasks, actions, and project status.