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Postdoctoral Research Scientist

Employer
Lamont-Doherty Earth Observatory at Columbia University
Location
New York City, New York
Closing date
Oct 13, 2022
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Discipline
Atmospheric Sciences
Career Level
Postdoctoral
Education Level
PhD
Job Type
Full-time
Relocation Cost
No Relocation
Sector Type
Academia

Job Details

The Columbia University Center for Climate Systems Research (CCSR) invites applications for a postdoctoral scientist position to develop advanced gridded crop modeling frameworks for connection to remote sensing and climate products.  The candidate will work closely with scientists at CCSR and at the co-located NASA Goddard Institute for Space Studies, as well as with scientists in the Agricultural Model Intercomparison and Improvement Project (AgMIP; whose international coordination hub is at CCSR). Tasks will include further development of high-resolution crop models executed on high-performance computational systems, configuration of the models across broad domains, the processing of remote sensing and weather model data to drive these models, and their combination within data assimilation and forecasting systems. Information about CCSR can be found at: https://ccsr.columbia.edu/; information about AgMIP: www.agmip.org; and GISS: www.giss.nasa.gov

The successful candidate will provide programming support for a project led by CCSR and GISS Climate Impacts Group Co-Directors Dr. Alex Ruane (Adjunct Research Scientist) and Dr. Cynthia Rosenzweig (Adjunct Senior Research Scientist).

 

Qualifications:

Interested candidates must have:

  • A Ph.D. in agronomy, biological engineering, soil science, computer science, mathematics, physics, engineering, or a related field.
  • Familiarity with development and application of process based crop models (e.g., DSSAT, APSIM, EPIC, Cropsyst)
  • Familiarity with Python data analysis and visualization software
  • Strong communication skills and interest to work within a group of scientists helping stakeholders prepare responses to Earth’s climate impacts.

 

Columbia University is particularly seeking candidates with experience in two or more of the following:

  • Scientific programming and model development (e.g., Fortran, Matlab, R)
  • Analysis of probabilistic weather forecasts
  • High performance computational systems (e.g., parallel processor environment)
  • Remote sensing of agricultural system characteristics (e.g., vegetation, soil moisture, evapotranspiration, land use products)
  • Data assimilation in physical models
  • Experience interacting with stakeholders in the US and developing country contexts.

 

The successful candidate will provide programming support for a project led by CCSR and GISS Climate Impacts Group Co-Directors Dr. Alex Ruane (Adjunct Research Scientist) and Dr. Cynthia Rosenzweig (Adjunct Senior Research Scientist).

Appointments are made on a fiscal year basis and are eligible for renewal each July 1st, contingent upon performance and funding. 

The search will remain open for at least 30 days after the ad appears and will continue until the position is filled.

Columbia University benefits accompany this Officer of Research appointment. 

 

 

We accept online applications only.

Equal Employment Opportunity Statement

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Company

Our center has a unique standing at Columbia University.  We are one of only a few centers in the United States actively developing a global climate model to understand past and future climates both on Earth and on other planets.  To do so, we have a special relationship with NASA.  We are co-located with the NASA Goddard Institute for Space Studies in Columbia’s Armstrong Hall. Here, Columbia and NASA scientists work closely together to advance climate science and improve societal resilience to climate-related challenges both in the United States and around the world.  CCSR scientists and staff also work with many other partners – private sector, governmental, and non-governmental organizations – to answer these challenging scientific, social, and economic questions.

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