Radar Science Fellow: Data-Driven Weather Analytics

Rainmaker Technology Corporation; El Segundo (CA); On-site; USD 81,244 - 97,315; Full time

Benefits offered by this job

Full health coverage (medical, dental,

Lunch provided in-office

EV charging at HQ

Job summary

Rainmaker Technology Corporation invites applications for a Radar Science Fellowship. This paid, full-time, on-site role in El Segundo engages undergraduate, graduate, postdoctoral, or early-career researchers on a scoped radar-data project with mentorship and potential future opportunities.

Projects include developing radar datasets, validating processing methods, and delivering reusable code and analyses to support decision-making in precipitation research.

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 radar meteorology, atmospheric science, signal processing, remote sensing, image analysis, geospatial data, or a closely related field.
• Ability to formulate a scientific question, implement an analysis, and validate the result carefully.

Responsibilities

• Build quality-controlled radar datasets aligned with aircraft, UAS, satellite, model, surface, or operational observations.
• Implement and validate radar-processing, feature-extraction, retrieval, storm-tracking, or statistical-analysis methods.
• Investigate how results vary with storm type, range, terrain, temperature regime, observing geometry, and data quality.
• Develop honest baselines and quantify uncertainty, false detections, selection effects, and failure modes.
• Create case visualizations and scientific analyses that domain experts can inspect.
• Avoid overstating what radar observations can establish about seedability or intervention effects.
• Produce clear, reusable code and documentation.
• Present findings to Rainmaker's radar scientists, meteorologists, operators, and technical leadership.
• Deliver a final artifact such as a validated dataset, case atlas, tracking system, retrieval candidate, operational product, analysis protocol, or research paper.

Skills

Python programming

Radar meteorology

Data analysis

Geospatial data

Scientific programming

Tools

xarray

geospatial processing

visualization

ML for physical data

Job description

Rainmaker Technology Corporation invites applications for a Radar Science Fellowship. This paid, full-time, on-site role in El Segundo engages undergraduate, graduate, postdoctoral, or early-career researchers on a scoped radar-data project with mentorship and potential future opportunities.

Projects include developing radar datasets, validating processing methods, and delivering reusable code and analyses to support decision-making in precipitation research.