layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Rainmaker Fellow, Radar Science at Rainmaker Technology Corporation | LAYIQ

Creating a radar-aircraft collocation atlas to investigate which radar structures and dual-polarization features contain useful information about measured supercooled liquid water.
Extending and validating an MRMS/MESH hail-event catalog and storm-object tracker.
Building a carefully controlled radar evaluation framework for cloud-seeding operations
Automating an existing radar-analysis workflow used by Rainmaker scientists and operators.
What You'll Do: 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.
What We're Looking For: 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.
Comfort working with large, imperfect 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.

Rainmaker Fellow, Radar Science

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