Research Associate Professor in Boundary Layer Meteorology and Hurricane Prediction

** Current Employees:
** If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click  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 .Research Associate Professor in Boundary Layer Meteorology and Hurricane Prediction The University of Miami Rosenstiel School of Marine Atmospheric and Earth Science invites applications for a Research Associate Professor position in the field of boundary layer meteorology and hurricane prediction.

This position in the Department of Atmospheric Sciences offers a unique opportunity to contribute to cutting-edge research in boundary layer dynamics and air-sea interaction in high wind conditions working alongside a diverse and talented group of scientists and educators. The start date of this position is August 15, 2026.mos
** Responsibilities:
*** Conduct original research in the field of boundary layer meteorology and hurricane prediction, with an emphasis on advancing our understanding of the role of boundary-layer processes and air-sea interaction in hurricane intensity change.
* Develop and apply state-of-the-art turbulence parameterizations for hurricane forecast models and collect unique observational datasets to address research questions related to hurricane intensity prediction and predictability.
* Publish research findings in peer-reviewed journals and present results at national and international conferences.
* Collaborate with colleagues and external partners on interdisciplinary research projects.
* Mentor graduate students and postdoctoral researchers, fostering their growth and development.
* Departmental teaching is not expected, but opportunities can be mutually negotiated with the department.
* Seek external funding to support research activities and projects.
* Utilize experience in science communication and outreach to disseminate research findings to a broader audience, including the general public and policymakers.
* Apply research-to-operations experience to bridge the gap between cutting-edge hurricane boundary layer research and practical applications, contributing to real-world decision-making and solutions.
* Demonstrate a proven record of successful collaboration on boundary layer related projects and initiatives, contributing to the development of operational hurricane prediction products based on scientific research.
* Leverage experience with a cooperative institute to enhance collaborative research efforts and strengthen partnerships between academia and government agencies.
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* Qualifications:

*** Ph.D. in Applied Marine Physics or a closely related field.
* Over 15 years of experience in boundary layer research and hurricane prediction.
* A strong record of peer-reviewed publications in turbulence structure, boundary layer dynamics, air-sea interaction, and hurricane intensity change.
* Expertise in tropical cyclone science communication and outreach.
* Expertise in boundary layer modeling, hurricane field experiment, and observational data analysis.
* Proven ability to secure external research funding.
* Effective communication skills, both written and oral, to disseminate research findings and collaborate with a diverse community of scientists and students.
* A demonstrated ability to collaborate with governmental organizations to bridge the gap between research and operational applications.

The application material should include:
* Letter of interest that describes your anticipated contributions to scholarship, mentoring, and service to the Rosenstiel School (suggested limit of 2 pages)
* Current CV
* Research statement (2 pages)
* The names of three colleagues who can provide us with a reference

The  at the University of Miami is a world leader in Earth sciences. Fundamental and interdisciplinary research are focused on understanding the chemical, physical and biological processes controlling the evolution of the marine, atmospheric and terrestrial environments, and the associated human-environment interactions.

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