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International Journal of High-Energy Physics

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Job details

Computational Scientist in Earth System Modeling

About this job

Company & location
Oak Ridge National Laboratory, United States
Last updated
May 10, 2018

The Computational Science and Engineering Division in the Computing and Computational Sciences Directorate and the Climate Change Science Institute ( at the Oak Ridge National Laboratory (ORNL) seek to hire a Computational Scientist in Earth System Modeling.

Major Duties/Responsibilities:

-You will contribute to ORNL and multi-lab efforts to develop and implement novel capabilities for next generation global and regional Earth system models, to be executed on pre-exascale architectures and in preparation for exascale.
-You will collaborate with highly diverse and multidisciplinary teams of computer scientists, applied mathematicians, climate and weather scientists, and computational scientists at ORNL's Climate Change Science Institute (CCSI), other DOE Labs, and partner universities and provide expertise in the area of Earth system model development and execution.
-You will join a growing team within CCSI focused on the development and analysis of Earth system models for advanced architectures to address pressing science questions for Earth systems. Maximizing computational performance on hybrid and multicore architectures that are slated to be among the fastest in the world is a priority.
-You will conduct research and develop software, and report results in open literature journals, technical reports, software releases and at relevant conferences.

Basic Qualifications:

A Ph.D. degree in an earth science, applied mathematics, computer science, computational science and at least 2 years of research experience in one of these areas, outside of Ph.D.

Preferred Qualifications:

-Experience with solution algorithms, data assimilation methods and tools, coupling of components and processes, nonlinear and linear solvers, limiters, and/or other numerical issues common with complex codes within earth system models of varying complexity
-Familiarity with computational scalability and efficiency, as applied to hybrid multi-petascale supercomputing systems
-Experience developing and executing large scientific simulations on multi-petascale supercomputing systems.
-Extensive programming experience in more than one of the following: Fortran, C++, python, OpenMP, OpenACC and CUDA
-Experience using solver and other numerical libraries such as Petsc, Trilinos etc. and revision control systems including svn and Git.
-Demonstrated excellent interpersonal skills for working within a highly diverse team, strong oral and written communications skills, good organizational skills, and high personal motivation.
-Familiarity with advanced I/O libraries, NetCDF and HDF file formats, and other related issues of data movement and processing.
-Possess a general understanding of the nature and behavior of classical physics problems that exist in Earth system model components (fluid flow, porous media and land surface processes, phase change, chemistry transport).
-A recognition and adherence to modern software engineering practices and standards to enable contribution and leadership for a large team-based model development process.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify Employer.

Job benefits: Healthcare + Gym membership + Benefits package + Pension + Life insurance + Flexible working + Relocation package