University of Miami

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The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami invites applicants for a full time Assistant Scientist position in Physical Oceanography. 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 an experienced and productive 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 Joint Effort for Data assimilation Integration Sea-ice Ocean Coupled Assimilation (JEDI-SOCA) 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.

Job duties include:

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

Due to the nature of our work and existing requirements, qualified candidates must be a U.S. citizen or a permanent resident and be able to obtain and maintain NOAA security clearance. Applicants must have a Ph.D. in oceanography, applied math, statistics or related discipline and at least 1 year of relevant postdoctoral experience. The position requires demonstrated experience with running numerical ocean models and data analysis. 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.

Apply online at: https://umiami.wd1.myworkdayjobs.com/en-US/UMCareerStaff/job/Miami-FL/Assistant-Scientist_R100066815. Curriculum Vitae and the contact information for 3 people who can provide letters of recommendation are required.