Postdoctoral Associate

University of Miami; Miami (FL); Presencial; USD 60 000 - 85 000; Tempo integral

Resumo da oferta

University of Miami CIMAS invites applications for a Postdoctoral Research Associate to validate and improve HAFS forecasts, focusing on boundary-layer and convective physics. The role includes comparing model output with observations and publishing findings. Collaboration with NOAA HRD/AOML will be essential, and applicants should have a Ph.D.

in Atmospheric Science or related field. The successful candidate will perform numerical simulations, analyze tropical cyclone data, and contribute to

Qualificações

• Ph.D. in Atmospheric Science or related field.
• Experience with numerical simulations of tropical cyclones or similar.
• Experience analyzing model outputs and observational data.
• Strong programming and scientific communication skills.

Responsabilidades

• Validate and improve HAFS model forecasts through physics enhancements.
• Analyze and interpret results; present findings at meetings and publish in journals.
• Collaborate with NOAA HRD/AOML teams to align with the broader research program.

Conhecimentos

Programming

Scientific communication

Numerical analysis

Boundary layer analysis

Formação académica

Ph.D. in Atmospheric Science

Ferramentas

Python

Fortran

MATLAB

Descrição da oferta de emprego

## Postdoctoral AssociateApply: On-Site: Miami, FL: Full time: Posted Today: R100102573**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) invites applications for a Postdoctoral Research Associate position that involves validation and improvement of numerical model forecasts from the Hurricane Analysis and Forecast System (HAFS), through improvements to model physics, especially boundary-layer and convective physics, and comparison with relevant observational datasets. He or she will also be responsible for analyzing and interpreting the results, for presenting findings at scientific meetings and for publishing the results in scientific journals. The work will be done in close collaboration with scientists in the Hurricane Research Division (HRD) at the National Oceanic and Atmospheric Administration's (NOAA) Atmospheric Oceanographic and Meteorological Laboratory (AOML). Applicants must have a Ph.D. in Atmospheric Science or in a related field. The successful candidate should have experience with one or more of the following: performing numerical simulations of tropical cyclones, analysis of tropical cyclone numerical model output, and analysis of tropical cyclone observational data. Strong programming and scientific communication skills are required. Experience and familiarity with analysis of tropical cyclone boundary layer structure would be helpful. Finally, familiarity with the areas of research commensurate with the general activities at NOAA’s Hurricane Research Division at AOML would be particularly valuable. A current CV, a statement of interest, and the names of 3 people who can provide letters of recommendation are required.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.The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.**Job Status:**Full time**Employee Type:**Staff