Modeling Ocean Biogeochemical Argo Observations Research – Princeton University

MPOWIR Mentoring Physical Oceanography Women to Increase Retention; Princeton (NJ); On-site; USD 60,000 - 80,000; Full time

Job summary

A leading educational institution seeks a postdoctoral research associate to assess biogeochemical variability and its implications on marine resources. The candidate will work with simulations and observational data in a collaborative research environment. A PhD and experience in data analysis and model development are essential for this role.

Qualifications

• PhD is required.
• Experience analyzing large datasets and/or model output is critical.
• Candidates with quantitative knowledge in climate dynamics encouraged.

Responsibilities

• Leverage existing ocean biogeochemical simulation to assess daily variability.
• Conduct additional model simulations as needed.
• Inform GFDL Earth System Model initialization.

Skills

Data analysis

Model development

Interdisciplinary knowledge

Education

PhD

Job description

Overview

The Atmospheric and Oceanic Sciences Program at Princeton University in cooperation with NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL) seeks a postdoctoral research associate or more senior scientist to assess modes of variability in biogeochemical observations and assess the necessary scope of observations to constrain boundary conditions and underlying biogeochemical functioning towards improved predictability of living marine resources. The incumbent will leverage an existing ⅛ degree ocean biogeochemical eddying simulation along with a suite of coarse resolution ocean biogeochemical retrospective forecast experiments to a) assess daily variability in BGC ARGO observables, as well as the relationship to underlying biogeochemical interactions, in the California Current Large Marine Ecosystem (CCLME); b) conduct additional model simulations as needed; and c) inform GFDL Earth System Model (ESM) initialization for improved representation and understanding of the CCLME. The incumbent will also assess the large scale variability in water mass structure to contrast large scale drivers of shifting biogeochemical provinces, mesoscale dynamics, and drivers of physical and biogeochemical variability at the ocean weather scale. This multiscale assessment of the underlying variability and its drivers will inform interpretation of individual floats and serve as a framework to better characterize biogeochemical variability in boundary conditions for regional models, and evaluate the potential for seasonal to decadal scale predictability of hypoxia, ocean acidification, algal blooms and living marine resources. Personnel will join an active group at Princeton and GFDL studying the connections between biogeochemistry, ecosystems, and climate (https://www.gfdl.noaa.gov/marine-ecosystems/).

Responsibilities

• Leverage an existing ⅛ degree ocean biogeochemical eddying simulation and retrospective forecast experiments to assess daily variability in BGC ARGO observables and their relation to biogeochemical interactions in the California Current Large Marine Ecosystem (CCLME).
• Conduct additional model simulations as needed.
• Inform GFDL Earth System Model (ESM) initialization for improved representation and understanding of the CCLME.
• Assess large-scale variability in water-mass structure to contrast drivers of shifting biogeochemical provinces, mesoscale dynamics, and drivers of physical and biogeochemical variability at the ocean weather scale.
• Develop a framework to characterize biogeochemical variability in boundary conditions for regional models and evaluate potential for seasonal to decadal predictability of hypoxia, ocean acidification, algal blooms, and living marine resources.
• Collaborate with an active group at Princeton and GFDL studying connections between biogeochemistry, ecosystems, and climate.

Qualifications

Essential Qualifications: PhD is required. Candidates with quantitative, interdisciplinary knowledge from fields including climate dynamics, ocean and coastal biogeochemistry, marine ecosystem dynamics, and fisheries science and management are particularly encouraged to apply. Experience analyzing large data sets and/or model output is critical, as is model development experience for those positions. This position is subject to Princeton University’s background check policy. Princeton University is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion.