Scientist, Research Scientist, Data Scientist

About This Role

This role seeks an experienced researcher with a strong background in tropical cyclone research and product development to join the Cooperative Institute for Meteorological Satellite Studies (CIMSS) tropical cyclone research team. The researcher will lead efforts to utilize infrared and microwave measurements from various satellite programs to develop state-of-the-art global tropical cyclone intensity and dynamic products, with a focus on merging satellite observations with other tools to improve storm forecasts.

Responsibilities

• Lead research focused on utilizing infrared and microwave measurements from U.S. Geostationary Operational Environmental Satellite (GOES) and Joint Polar Satellite System (JPSS) programs, as well as related sensors on European, Japanese, and Korean geostationary spacecraft and new commercial satellite assets
• Develop state-of-the-art global tropical cyclone intensity and dynamic products
• Focus on merging satellite observations with other observation and prediction tools (including radar, airborne measurements, and NWP models) to improve tropical storm development, intensification, and track forecasts
• Lead tasks related to the development, testing, delivery, and integration of algorithms to operational production systems
• Conceptualize new research directions
• Pursue federal funding
• Give scientific and technical presentations at national and international symposia, conferences, and workshops
• Author peer-reviewed journal articles
• Report findings to federal sponsors

Requirements

• Strong track record of tropical cyclone research and product development
• Experience working with large meteorological satellite data sets
• Experience with passive microwave and radar data products
• Experience interfacing numerical weather prediction (NWP) models
• Strong technical background in numerical computing
• Experience with machine learning (ML, "AI") approaches, especially as applicable to feature detection and tracking in multi-channel imagery
• Proficiency in scientific programming languages including Python
• Proficiency in shell scripting
• Experience working with multiple scientific data formats such as HDF and NetCDF
• Strong written and oral communication skills
• Ability to pursue collaborations with experts nationally and internationally
• Eligibility to work in the United States (e.g., a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of employer sponsorship) on or before the effective date of employment

Nice to have:

• Experience with Agile software development methodology