Postdoctoral Associate
- Location
- Miami, FL
- Listed
- 5 days ago
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 invites applications for a Postdoctoral associate position in meteorology. The research focus is on boundary-layer dynamics and air-sea interactions in tropical cyclones (TCs) using an observational database and high-resolution numerical simulations. Related fields with similar expertise will be considered as well.
The incumbent will contribute to research that develops, analyzes and maintains both observational and numerical model data sets critical to our understanding of TC structure and intensity. The primary role of the incumbent will be to document, assess and quantify the impact of emerging technology data sets (e.g. drones/UAS, high altitude balloons, swarm-capable dropsondes, robotic ocean expendables, etc).
Impact can be realized through numerical and AI modeling, heightened situational awareness, optimized sampling, and greater operational efficiency.
The successful candidate will also contribute to research that emphasizes the analysis of observational data sets obtained by NOAA to further understand internal processes of TCs, leading to enhanced forecasts, elucidate on boundary-layer processes related to TC intensity change, and evaluate and improve hurricane model physics.
With the direction of science leads, the incumbent will be expected to pursue publication of scientific results in top-tier peer-reviewed journals. Other activities may include assisting in research investigations on air-sea interactions and participation of the annual NOAA Hurricane Field Program to collect novel observations.
Department Specific Functions
Duties include but are not limited to
- Develop clearly written code and comments to analyze observational data sets.
- Use AI/ML concepts and development to analyze observational data.
- Produce peer-reviewed manuscripts.
- Present the results at conferences.
- Run and analyze a high-level numerical model
- Adhere to industry and institutional standard operating procedures.
- Perform other job-related duties as assigned.
Minimum Qualifications
- Required education is a PhD in Meteorology, Atmospheric Science, Computer Science, Engineering or closely related field.
- Knowledge of air-sea interactions and boundary-layer processes in hurricanes is preferred.
- We encourage motivated individuals with advanced programming skills and strong publication records to apply.
- Some skills in analyzing/evaluating large data sets are highly desirable.
- Knowledge of an advanced programming language such as MATLAB, Python, etc. is required.
- Basic understanding of the current state of tropical cyclone research is required.
- Experience with field experiments and hurricane forecast models is a plus.
- The successful candidate must be able to work collaboratively within a diverse and dynamic team.
- 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
Equal opportunity and legal notices
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.
From UMiami's careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Postdoctoral Associate role at UMiami, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
- Postdoctoral Associate | Sickle Cell Disease | Agoro LabThe Jackson Laboratory · Bar Harbor, ME
- Postdoctoral Associate | Beck LabThe Jackson Laboratory · Farmington, CT
- Postdoctoral Associate | Wang LabThe Jackson Laboratory · Farmington, CT
- Postdoctoral Associate | Hearing and Balance | Tarchini LabThe Jackson Laboratory · Bar Harbor, ME
More at UMiami
All UMiami jobsCommon questions
Where is the Postdoctoral Associate job at UMiami located?
This Postdoctoral Associate position at UMiami is located in Miami, FL. Always check UMiami's application page for specific state eligibility or relocation policies.
How do I apply for the Postdoctoral Associate position at UMiami?
This listing links directly to UMiami's Workday application page. You can apply directly on UMiami's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.