Visa Sponsored Job:

Yes

Relocation Assistance Eligible:

No

Job Location:

Princeton, New Jersey

Position Type:

Full time, Term - 6 months or more (Fixed Term)

$84,100 - $109,300

Background Checks and Federal Screens are conducted for candidates selected for hire. Learn more.
 

Work Location: Regardless of flexible work arrangements, UCAR requires ALL positions to be performed within the U.S., excluding U.S. Territories.

Application Instructions & Materials (preferably uploaded in PDF format):

1.) Resume

2.) Cover Letter
In lieu of a traditional cover letter, we ask that you respond to the following prompts that address the critical skills needed for this position. Your answers will be read and weighed equally to your Resume/CV and should provide specific, detailed, and informative responses based on your direct and previous work experiences. Please keep responses to 1-3 paragraphs per prompt.

• Experience & Perspective
  Summarize your research or applied experience with fire-weather modeling, ignition drivers, or biogeochemical carbon/aerosol emissions from fire.

• Earth System Modeling & HPC
  Describe a scientific question you’ve addressed using Earth system models (e.g., GFDL, CESM) on HPC systems. Please explicitly note any experience with GFDL land model components or fire/vegetation modules.

• Data Analysis, Machine Learning, & Programming
  Give an example of how you used machine learning or clustering to analyze large, heterogeneous datasets. In your answer, please reference your proficiency in Python, Fortran 90, or MATLAB, and the impact of your analysis on scientific conclusions or model improvements.

Specific Duties for this Role:

• Application of machine-learning based methods for data manipulation, including clustering methods for from diverse regional and global data sources

• Application of Python, Fortran 90,  and Matlab

• Configuration, simulation, and analysis of global Earth system models on High Performance Computing Systems

• Research leading to peer-reviewed publication of comparison of observations and physical and biogeochemical models of fire and fire emissions

Desired Knowledge, Skills, and Abilities Specific for this Role:

• Knowledge of land-surface, fire, and vegetation modeling

• Demonstrated ability with analyzing and synthesizing high-resolution remotely sensed data

• Demonstrated skill in modifying, running, and analyzing terrestrial components of GFDL Earth system models

• Excellent verbal and written communication skills

• Demonstrated ability of working in interdisciplinary teams

Job Description Summary

UCAR is excited to announce the job opening for the Scientist III role with the Cooperative Programs for the Advancement of Earth System Science (CPAESS) working with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL). This position is focused on modeling past and future global fire dynamics and associated emissions of carbon and aerosols in the GFDL Earth System Modeling framework. The project aims to improve understanding of physical, biological, and anthropogenic processes that lead to land surface states that increase or decrease wildfire potential and evaluate whether Earth system models can simulate fire-weather conditions, fire events, and associated emissions. The hindcasts and prediction of future fire precursors and characteristics are performed with the novel orography-aware version of the GFDL land model LM4 and require the ability to design experiments, derive and prepare input files to characterize both land surface characteristics and ignition drivers, analyze model output, and communicate scientific findings at conferences and in peer reviewed publication.

CPAESS serves the Earth System