The Atmospheric and Oceanic Sciences Program at Princeton University, in collaboration with the Geophysical Fluid Dynamics Laboratory, is hiring one or more software engineers to support model development funded as part of the Disaster Related Appropriations Supplemental ("Hurricane Supplemental"). This collaborative effort aims to build new functionality within next-generation weather and climate models powered by the Finite-Volume Cubed-Sphere Dynamical Core (FV3) specifically for simulating and predicting tropical cyclone and extreme weather, for eventual use in NOAA operational prediction and community research modeling. This project is part of a larger and highly productive effort at Princeton and GFDL to produce next-generation weather and climate models centered around GFDL's world-leading model components and infrastructure for a variety of applications ranging from basic science to weather and climate prediction to human and ecosystem impact assessment.
This position is a 1 year term position with possibility of renewal.
The selected individual(s) will assist GFDL's participation in the Hurricane Supplemental by working with GFDL scientists to implement new variable-resolution capabilities within models using the Flexible Modeling System (FMS) framework and the Finite-Volume Cubed-Sphere Dynamical Core (FV3), as well as in the pre-and-post-processing tools supporting these systems. The individual(s) will also work with scientists on the implementation of other new capabilities, including improved component coupling between the dynamical core and other model components (physics, land, ocean, ice, chemistry, and so on), improved model diagnostics, and others. This individual will also collaborate with GFDL scientists and engineers to help develop model workflows putting the new innovations to use and to help run and validate these models, and finally to assist with the dissemination and documentation of the new capabilities to Hurricane Supplemental collaborators and other external partners.
The selected candidate(s) must have a strong background in software development and be comfortable with several languages, especially C, C++, and Fortran. The candidate(s) should have some familiarity with parallel processing, especially the message-passing interface (MPI) and OpenMP; candidates with experience programming for multi-core systems (especially GPU) will be particularly welcome.
Applicants should apply online to https://main-princeton.icims.com/jobs/10884/software-engineer/job?hub=15.
A Masters' degree is preferred. Specific experience with weather and climate modeling or computational fluid dynamics codes is appreciated not necessary.
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, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW