IMPORTANT: This Advertiser has requested that applicants MUST be National Residents / Valid Work Permit-holders. Other applicants need not apply.
JGCRI is currently developing a reduced-form global model of greenhouse gases, the carbon cycle, and their effects on global temperature, sea level rise, and other geophysical and biological systems. Written in C++, this model is intended to be open source, computationally inexpensive, and balance process-level simplicity with fidelity to observed and predicted climate and CO2 records. It is designed to be useful for large-scale numerical exercises, while being able to serve as a component of other models, and capable of running a variety of science- and policy-related analyses. The model currently includes basic representations of most of the relevant physical processes and rudimentary testbed/support software.
The postdoctoral scientist would lead development and testing of, and analyses using, this evolving model. Primary duties will involve selection and processing of observational and other modeled data for comparison purposes. The candidate will also work on the architectural and scientific code of this model by bringing current scientific knowledge and the applicant¿s particular specialties to bear; interacting and coordinating development efforts with collaborators; and closely working with colleagues at JGCRI and PNNL.
Minimum Requirements
Candidates must have received a PhD within the past five years from an accredited college or university. All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.
Qualifications
Required skills and experience: a Ph.D. in a field closely tied to the modeling of large-scale physical systems (e.g., carbon cycle, atmospheric dynamics, or land-use change), or other modeling experience in earth sciences; a quantitative background and proficiency in writing computer code, ideally C++; strong interpersonal skills, demonstrated ability for productive research, and an interest in cross-disciplinary collaboration.
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