Satellite Remote Sensing Fellow — Weather Data & Validation

Openkrill; United States; Remote; USD 90,000 - 110,000; Full time

Benefits offered by this job

Health coverage

401(k) with match

Unlimited PTO

Relocation assistance

Job summary

Rainmaker is a pioneering effort in a modern cloud-seeding system, advancing precipitation research through satellite observations, radar, and atmospheric measurements. This fellowship places you in Rainmaker's satellite-science group under a mentor to execute a defined computational workstream and contribute to retrieval validation and operational support.

You will process and quality-control satellite data, reproduce baselines, and develop improvements with guidance from experienced

Qualifications

• 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.

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.

Skills

Python programming

Atmospheric remote sensing

Education

Undergraduate/Graduate student

Job description

Rainmaker is a pioneering effort in a modern cloud-seeding system, advancing precipitation research through satellite observations, radar, and atmospheric measurements. This fellowship places you in Rainmaker's satellite-science group under a mentor to execute a defined computational workstream and contribute to retrieval validation and operational support.

You will process and quality-control satellite data, reproduce baselines, and develop improvements with guidance from experienced