make-rain - Rainmaker Technology Corporation - Rainmaker Fellow, Satellite Remote Sensing
Requirements
• Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible. • Strong quantitative and programming ability, preferably in Python. • Experience with atmospheric remote sensing, satellite meteorology, physics, applied mathematics, electrical engineering, computer science, or a related field. • Interest in microwave sounders, polar-orbiting observations, geostationary imagery, retrieval methods, or scientific data products. • Ability to implement a scientific method, establish a baseline, and validate the result carefully. • Comfort working with large, imperfect, multidimensional observational datasets. • High agency and the ability to take responsibility for a bounded workstream while collaborating with experienced researchers. • Clear written and verbal communication. • Availability for full-time, on-site work in El Segundo for the agreed appointment. • By the end of the fellowship, you will have answered a clearly defined scientific or operational question and delivered a trusted computational result the satellite remote-sensing team can continue using. Depending on the project, that might be a quality-controlled validation dataset, retrieval benchmark or improvement, error analysis, fusion prototype, automated data product, or operational workflow. • Success does not require a positive result. A rigorous conclusion about what the available observations can and cannot support can be as valuable as an improved retrieval. • ## Fellowship Details • Paid, full-time, and on-site in El Segundo. • Three-to-six-month appointment, with four months as the standard duration. • Rolling applications and project-specific start dates. • Attached directly to Rainmaker's satellite-science group with a named mentor. • Consideration for future full-time roles • Publication may be supported when it does not compromise Rainmaker intellectual property or operational know-how.
Responsibilities
• Acquire, process, collocate, and quality-control microwave, polar-orbiting, and geostationary satellite observations. • Reproduce an existing retrieval or operational baseline before testing improvements. • Validate satellite products against radar, NWP, soundings, surface observations, and Rainmaker aircraft, UAS, or in-situ measurements. • Quantify detection skill, bias, uncertainty, spatial representativeness, latency, coverage, and failure modes by meteorological regime. • Implement physically motivated, statistical, or ML retrieval improvements when justified by the project and data. • Build documented, reproducible workflows that other Rainmaker scientists can run and extend. • Present findings to satellite scientists, radar scientists, meteorologists, operators, and technical leadership. • Deliver a final artifact such as a collocation dataset, retrieval benchmark, automated data product, error analysis, fusion prototype, or research paper.
Benefits
• $8,000 per month • Full health coverage (medical, dental, and vision insurance) • Lunch provided when working in-office and a fully stocked kitchenette • Free EV charging at the HQ
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