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Senior Lightning Scientist

5 months, 1 week ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
C++ Embedded Systems Machine Learning Python
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Ladders

Ladders

TheLadders is a high-paying job marketplace connecting professionals to $100K+ opportunities, with a focus on career advancement and growth.

Professional Services
51-250
Founded 2003
View All Jobs 2

Description

  • Serve as the technical and scientific authority on lightning physics, detection methodologies, and operational interpretation.
  • Lead the development, evaluation, and improvement of lightning detection algorithms using TOA, TDOA, interferometry, and hybrid approaches.
  • Analyze RF signals for waveform characterization, noise mitigation, and signal classification across relevant frequency bands.
  • Collaborate with hardware and electrical engineering teams on sensor design, RF front-end considerations, antenna design, placement, and calibration.
  • Develop and refine signal processing pipelines for real-time and post-processed lightning data.
  • Design, test, and validate algorithms for lightning geolocation, flash clustering, classification, and quality control.
  • Evaluate network performance, detection efficiency, location accuracy, and timing precision using ground truth and statistical methods.
  • Contribute lightning data and scientific insights to forecasting, nowcasting, severe weather detection, and machine learning systems.
  • Provide technical leadership, mentorship, and guidance to scientists and engineers working on lightning-related systems.
  • Document methodologies, assumptions, system limitations, and scientific findings for internal and external stakeholders.

Requirements

  • Advanced degree, such as a PhD or an MS with significant experience, in Atmospheric Science, Electrical Engineering, Physics, Geophysics, or a related field.
  • Deep understanding of lightning physics, electromagnetic emissions from lightning, and storm electrification processes.
  • Strong background in RF systems, signal processing, and spectral analysis.
  • Demonstrated experience with lightning detection techniques such as TOA, TDOA, interferometry, or related geolocation methods.
  • Proficiency in algorithm development and data analysis using Python, C++, or similar scientific computing environments.
  • Experience working with large-scale, real-time observational data systems.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to communicate complex scientific and technical concepts clearly to both technical and non-technical audiences.
  • Experience designing or working directly with lightning detection hardware, sensors, or ground-based networks is preferred.
  • Background in antenna theory, antenna design, and RF propagation effects is preferred.
  • Familiarity with FPGA, SDR, or embedded systems used in RF signal acquisition is preferred.
  • Experience with cloud-based data platforms and high-throughput data processing pipelines is preferred.
  • Published research or patents related to lightning detection, RF sensing, or atmospheric electricity are preferred.
  • Experience collaborating with operational forecasting or severe weather teams is preferred.
  • Familiarity with machine learning applications applied to lightning or RF signal classification is preferred.

Benefits

  • Equal Opportunity/Affirmative Action employment with reasonable accommodations for individuals with disabilities.
  • Opportunity to work on industry-leading lightning intelligence products used across consumer, business, and public safety offerings.
  • Access to a collaborative environment spanning science, engineering, product, and operations teams.
  • Work connected to a large, established weather platform with broad global reach and impact.

Interested in this position?

Apply directly on the company website

Apply Now

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