Rainmaker Fellow, Radar Science
Core
Research appointment focused on radar meteorology, atmospheric science, and signal processing to support cloud-seeding operations and storm analysis.
Role type
Early-career radar science fellow (research)
Builds
Validated radar datasets, storm-tracking systems, analysis frameworks, and operational workflows for precipitation enhancement.
Domain
Atmospheric science / Radar meteorology / Cloud seeding
Required skills
Python programming, radar meteorology, atmospheric science, signal processing, remote sensing, image analysis, geospatial data, scientific method, data validation, uncertainty quantification
Preferred skills
Experience with MRMS/MESH, dual-polarization radar, numerical weather prediction, case visualization
Technologies
Python, MRMS, MESH, radar systems, UAS, satellite observations
Responsibilities
Build quality-controlled radar datasets aligned with multi-source observations; Implement and validate radar-processing and feature-extraction methods; Investigate result variations across storm types and data quality; Develop baselines and quantify uncertainty and failure modes; Create case visualizations and scientific analyses; Present findings to scientists and operators; Deliver final artifacts like datasets or tracking systems.
Seniority
Early-career (undergraduate/graduate/postdoc/recent grad)