Source Job

US

  • Develop and enhance techniques for improved assimilation of atmospheric wind data including aircraft winds, ocean surface winds, and atmospheric motion vectors.
  • Prepare and design components for assimilation of wind observations from future satellite missions and airborne/space-borne lidar.
  • Improve quality control and observation error specification using AI/ML techniques to enhance data assimilation.

Python C++

3 jobs similar to Physical Scientist for Atmospheric Wind Data Assimilation

Jobs ranked by similarity.

$75,000–$120,000/yr
US

  • Collaborate with meteorologists at NCEP, NWS, academia, and partners to develop forecast tools from short to medium range timeframes.
  • Develop web applications using GIS, Python, and modern languages to create hazard information tools.
  • Transition forecaster tools into operations and create training materials for new techniques.

Lynker is a growing, employee-owned business specializing in professional, scientific, and technical services. They combine scientific expertise with mature processes to deliver cost-effective solutions in hydrology, geospatial analysis, IT, and resource management, fostering a team-oriented culture of skilled professionals.

US

  • Apply specialized technical knowledge to analyze and develop strategies for the MRMS Hydromet/QPE codebase.
  • Provide expert guidance on C++ code modifications and optimization for the VCP-Agnostic version.
  • Prepare technical documentation and quarterly reports on development activities.

FWI supports the National Weather Service by providing technical expertise for operational weather systems like MRMS. The company values employee experience and offers career growth opportunities in a collaborative environment.

North America

  • Lead research into vegetation structure, fuel loads, and wildfire risk from satellite and environmental data.
  • Design validation and evaluation frameworks, including ground-truth strategies and uncertainty quantification.
  • Prototype ML models and partner with engineers to bring research into production systems.

At Overstory, we use AI and satellite imagery to identify vegetation risks that threaten power lines, helping utilities prevent wildfires and outages. We are a fast-growing team of about 100 people across the Americas and Europe, united by a passion for climate action and solving complex problems.