Research Associate I

Current Employees

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.

The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami (UM) is currently seeking applicants for a full-time Research Associate I position. The successful candidate will participate in research projects that use data from crewed and uncrewed TC reconnaissance missions to improve analysis and prediction of TCs.

The first primary focus will be to develop machine learning methods to accurately estimate surface winds within the TC when they are otherwise not available. Candidates should be prepared to develop real-time products to be delivered to the National Hurricane Center for testing and evaluation. A second primary focus will be to quantify the impact of various crewed and uncrewed observing systems on analyses and forecasts of TCs.

The candidate will work closely with the National Oceanic and Atmospheric Administration's (NOAA) Atlantic Oceanographic and Meteorological Laboratory (AOML).

We are searching for an experienced and productive researcher whose primary responsibilities will include:

• Development, testing, and evaluation of machine learning techniques trained on data gathered within TCs
• Using the NOAA Hurricane Analysis and Forecast System (HAFS) with various data input sources to evaluate
• Verification of HAFS forecasts
• Responsible and effective use of high-performance computing environments
• Data management and visualization using modern programming languages (e.g., Python)
• Processing complex data to produce easily understandable results
• Interpret and publish results in progress reports and peer reviewed literature
• Present the results at meetings and conferences

Qualified candidates must possess a bachelor's in Meteorology or Atmospheric Science. Demonstrated familiarity with tropical cyclone reconnaissance data, proficiency in machine learning applications, and running and tuning hurricane models in high-performance computing environments is also required. Familiarity with NOAA operational hurricane models is also desirable, as is proficiency in Python and JavaScript.

• The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida.
• With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.
• We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.
• Job Status: Full time
• Employee Type: Staff