Backed by Antler.
About the role
Work with your research lead to translate an atmospheric, operational, or program-design question into measurable quantitative criteria. Build and document the quality-controlled dataset required for the assigned project.
What they're looking for
- Current undergraduate, master's, or PhD students, postdoctoral researchers, recent graduates, and other early-career researchers are all eligible
- Background in meteorology, atmospheric science, applied mathematics, statistics, physics, hydrology, geospatial science, or a related field
- Strong Python and quantitative-analysis ability
- Experience with meteorological, climate, geospatial, radar, satellite, or model data
- Ability to make ambiguous definitions explicit and test the sensitivity of results to assumptions
- Strong scientific judgment about uncertainty, representativeness, and the difference between an analytical proxy and operational ground truth
More about this role
Make it rain. Make Snow. Make Earth Habitable.
Rainmaker builds and deploys audacious technologies that work with nature to create an abundant, habitable planet. We are modernizing proven cloud-seeding science with weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing and validation systems, and sustainable seeding technologies. We are building an integrated system to make more freshwater available to farms, ecosystems, and communities.
Our ambition is bold, but we pursue it with humility. We take on difficult problems in the real world with technical rigor, grit, integrity, and an openness to learning and course-correcting. We are hiring individuals with evidence of exceptional ability. If you want to build systems that endure, restore, and provide, and help deliver the future we were promised, we want to hear from you.
Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding...
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