Employment Opportunities

Columbia University, Associate Research Scientist in Ocean Carbon Cycle Modeling

The Department of Applied Physics and Applied Mathematics at the Fu Foundation School of Engineering and Applied Science of Columbia University in the City of New York invites applications for an Associate Research Scientist at the Goddard Institute for Space Studies (GISS). This appointment is full-time and located at the Columbia University Morningside campus.

The goal is to focus on ocean carbon cycle and climate. Candidate will be expected to:

  • Work on improving and expanding the ocean biology and biogeochemistry modules within the GISS climate model
  • Writing grant proposals in collaboration with other members of the GISS model development group and science team
  • Publishing scientific work regularly and participating to meetings and conferences
  • Foster external collaborations with NASA and other academic and research institutions.

All candidates for officer of research positions are expected to be able to work well in a team and to effectively communicate the results of their research activities both orally and in writing.

Minimum Qualifications

A PhD in oceanographic, atmospheric, earth, environmental, or climate science, meteorology, or other associated fields is required.

The candidate must have excellent programming skills in FORTRAN and C++ with excellent analytical skills in at least two of the following: NCL, R, Python, Matlab, and IDL. Candidate must have familiarity with git or similar software for tracking software development.

Preferred Qualifications

  • Expertise in observations of marine carbon constituents from satellite and in situ measurements
  • Experience in modeling marine biogeochemical cycles, interactions with biology and climate in a variety of modeling systems from one-dimensional, to process models and to complex interactive coupled climate models
  • Advanced understanding of how the Earth System works and how Coupled Climate and Earth System models simulate it
  • Experience in analyzing large datasets using advanced methods in data analysis, machine learning, data mining and other data science techniques
  • Expertise in using inverse methods to combine models with observations to produce better parameterizations for model processes
  • Understanding how to model chemistry in Earth-like planets within our Solar System and beyond
  • Strong publication history

Additional Information

The proposed start date for this position is March 1, 2021.

For more information about this opportunity, please contact Dr. Anastasia Romanou.

Application Information

For information on how to apply for this position, please see the Columbia University Human Resources posting.

EEO Statement

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Posted 2021-01-28.

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