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Postdoc in Applied Math for Computational Earth amp Weather Modeling

Company name
Oak Ridge National Laboratory

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Oak Ridge National Laboratory

Postdoc in Applied Math for Computational Earth & Weather Modeling

$Competitive

United States

09 Apr 2018

Job Posting Reference #: NB50661978

INSTRUCTIONS FOR APPLICATION:

All applicants must go to the ORNL Career site to create a personal profile and then apply to this specific opening. Just search for NB50661978 in the search box and follow the prompts and instructions to apply.

Link to ORNL Careers:

https://www.ornl.gov/careers

The Computational Science and Engineering Division in the Computing and Computational Sciences Directorate and the Climate Change Science Institute (http://climatechangescience.ornl.gov/) at the Oak Ridge National Laboratory (ORNL) seek to hire a Postdoctoral Research Associate in the area of algorithmic development for Earth System Modeling.

Major Duties/Responsibilities:

You will contribute to ORNL and multi-lab efforts to develop and implement novel algorithms 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 advanced algorithms and 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 applied mathematics, computer science, computational science, and/or earth science.

Preferred Qualifications:

Experience with solution algorithms, 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

Some experience with AI/machine learning methods and tools

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, cloud physics and radation, 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.

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

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 ref:

NB50661978

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Application deadline:

09 May 2018

Specialism:

Computational science & software engineering, Earth & environmental science

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Job type:

Research facilities

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Location:

United States

Company info

Oak Ridge National Laboratory
Website : http://www.ornl.gov/

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