The principal function of the postdoc is to contribute to configuring an Environmental Fluid Dynamics Code (EFDC) water quality model for the South Florida region and use this model to simulate and analyze past and projected regional patterns, with a focus on net primary production and subsequent carbon transport and settlement rates in and out of Biscayne Bay. The outputs of the coastal model will be used to characterize climate change impacts on water quality and carbon transport in and out of the estuary. Addition to the modeling efforts, the position will also have the tasks of constructing literature reviews and providing carbon data input for NOAA databases. The postdoc will be based at the NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) in Miami, Florida. She/he will be part of a multidisciplinary team, which includes researchers at NOAA, Mississippi State University, University of Miami, University of South Florida, Virginia Institute of Marine Sciences, Fish and Wildlife Research Institute, and Southeast Coastal Ocean Observing Regional Association.
Duties include but are not limited to:
• Perform a comprehensive collection and summarization of available observed data related with primary production modeling in Biscayne Bay
• Develop a conceptual model of primary production in the context of blue carbon capture based on the observed data availability
• Configure an estuarian water quality and biogeochemical model for the Biscayne Bay
• Conduct numerical model experiments
• Analyze and describe simulated patterns
Provide modeled carbon data to the designated NOAA databases
Construct literature reviews
• Participate in regular team meetings
• Present research results in scientific conferences and workshops
• Submit manuscripts to peer-reviewed journals
Applicants must have a Ph.D. in oceanography, engineering or a related field.
Preferred qualifications: Experience in regional ocean modeling.
Marine botany, physico-chemical modeling, marine biogeochemistry, marine geochemistry.
Knowledge in data science programming.
MSU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, religion, national origin, disability, age, sexual orientation, genetic information, pregnancy, gender identity, status as a U.S. veteran, and/or any other status protected by applicable law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.
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