Radar Science Fellow: Weather Radar & Data Analysis

InvestedintheMission

Norman (OK)

On-site

USD 81,000 - 97,000

Full time

14 days+

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Benefits offered by this job

Health insurance

Lunch provided

EV charging at HQ

Job summary

Rainmaker is offering a paid, full-time Radar Science Fellowship for exceptional early-career researchers and students. You will join the radar-science group to work on a scoped project with a mentor, taking responsibility for a concrete workstream while contributing to analysis and operational support.

Projects vary and may include radar-dataset construction, MRMS/MESH catalogs, radar evaluation frameworks, or automated workflows.

Qualifications

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.
Comfort working with large, imperfect observational datasets.
High agency and ability to take responsibility for a bounded workstream while collaborating with experienced researchers.
Clear written and verbal communication.

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.
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.