Postdoctoral Associate

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The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science has an exciting opportunity for a full-time Post-Doctoral researcher. This position will be within NOAA’s Quantitative Observing System Assessment Program (QOSAP). In addition, the position will involve collaborations with scientists at the University of Maryland-College Park as well as at the Atlantic Oceanographic and Meteorological Laboratory (AOML) in Miami and the Laboratory for Satellite Altimetry (LSA) of National Environmental Satellite, Data, and Information Service (NESDIS)/the Center for Satellite Applications and Research (STAR) branches of NOAA. This position is expected to be fully remote.

We seek a motivated researcher to join our group and participate in the development of observing system experiments (OSEs) in the North Atlantic of particular relevance to NESDIS, and observing system simulation experiment (OSSE) capabilities in general. QOSAP is conducting observing system design studies for tropical cyclone forecasting, marine heat wave, and other societally-relevant applications, particularly in regions that include coastal US waters. 

The priority focus for this position is an OSE in the North Atlantic domain in application to rapidly intensifying or rapidly weakening tropical cyclones. The OSE will assimilate output from the NOAA Next-Generation Enterprise Ocean Heat Content (NGE OHC) algorithm using the ocean component of the Joint Effort for Data assimilation Integration (JEDI) framework. This project will test the fidelity of the NGE OHC algorithm used for the purpose of improving initial conditions of tropical cyclone forecasts.  The incumbent will need to develop methods to estimate uncertainties in the outputs of the NGE OHC algorithm and run an ocean model with a data assimilation framework as well as prepare for future OSSEs using Nature Run output.

Department Specific Functions

Duties include but are not limited to:

• Running an OSE in the North Atlantic domain
• Developing a method to estimate uncertainties in temperature/salinity profiles output from the NGE OHC algorithm
• Extracting Nature Run output for future OSSE applications
• Leading workshops and webinars as well as communicating with project team members and stakeholders
• Writing reports and presenting findings in scientific settings including in peer-reviewed publications

Minimum Qualifications

• Applicants must be a U.S. Citizen or Permanent Resident (Green Card Holder) in order to gain access to the required NOAA systems.
• Applicants must have a Ph.D. in oceanography, applied math, statistics or related discipline, and a background in oceanographic research at the post-doctoral level.
• Necessary skills include working knowledge of post-processing software (e.g., Matlab, R, IDL, Triton, Ishmael, XBAT Raven, and PAMGUARD) and/or statistical/mathematical programming languages (e.g., R, Matlab), and high performance computing.
• Applicants with experience in physical oceanography, machine learning, Bayesian statistics, and/or data assimilation are preferred.
• The incumbent must have a proven publication record, scientific writing skills, and the ability to work with in-situ ocean observations.
• The successful candidate must be able to work collaboratively within a diverse and dynamic team.

The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. 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

Pay Grade:

A9