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Senior Computational Scientist - HPC and Al for Energy Systems

Date: Jul 16, 2021

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 5872 



The Computational Systems Engineering & Cybernetics group (CSEC) within the Computational Sciences & Engineering Division (CSDE) at the Oak Ridge National Laboratory (ORNL) is seeking a Senior Computational Scientist to lead exascale modeling of energy systems position to perform R&D in the areas of novel applications, algorithms, and modeling methods for large-scale energy systems. Relevant expertise includes nonlinear dynamics, mathematical modeling, systems engineering, numerical methods, model-based design, high performance computing, optimization, and accelerated computing. The group is looking for someone passionate about articulating a vision of the future energy systems, the modeling and simulation challenges to be overcome in achieving that vision, and assemble a diverse, multi-disciplinary team to work towards this vision. Of particular interest are modeling and simulation applications that leverage the unique high performance computing resources available at ORNL. Oak Ridge National Laboratory (ORNL) operates the world’s fastest high performance computing system, largest parallel file system, and will deploy an Exascale system in 2021.  


Oak Ridge National Laboratory's Computing and Computational Sciences Directorate conducts state-of-the-art research and development in computing and computational sciences in support of DOE's missions and programs. We develop and deploy leading edge computing and information technology capabilities to keep computational sciences at a level comparable to experimental sciences in the pursuit of scientific discovery and technical innovation.


Major Duties/Responsibilities: 


You will be responsible for

  • Lead and collaborate with internal and external researchers on a variety of large-scale energy systems modeling
  • Lead the delivery of simulation technologies, toolkits and new capabilities that execute on ORNL’s leading compute and data infrastructures.
  • Collaborate with model developers, engineered systems analysts, energy domain scientists to understand sensitivities of simulation code implementation choices, model choices, and uncertainties for the purpose of delivering new scientific discoveries to enable next generation energy systems.
  • Conceiving new research directions in collaboration with subject matter experts internal and external to ORNL;
  • Interact with sponsors to define, execute, and report on relevant project elements.
  • Publish high quality research results in peer-reviewed journals and conferences, if so authorized by the sponsoring agency.
  • Develop proposals and work statements for funding, with ability to manage work scope and deliverables to sponsors
  • You will also have the opportunity to work collaboratively with staff throughout ORNL and to offer career guidance and mentoring to junior staff. 


Basic Qualifications:

  • A Doctorate degree in Electrical Engineering, Computer Science, Computer Engineering, or other field relevant to the job duties and 6+ years of experience.
  • Experience with the development and growth of new research programs.
  • Relevant experience with modeling and simulation, simulation software design, numerical methods and simulation algorithms, and high performance computing.
  • Strong record of publication in peer reviewed journals.


Preferred Qualifications

  • 12+ years of professional experience outside of Ph.D.
  • Experience in developing exascale applications on leading high performance computing for energy systems
  • Technical background in power flow modeling in electrical systems, controls, and communications
  • Strong computational skills, including programming in C++ and/or Python, performance portability and programming for HPC architectures.


ORNL Ethics and Conduct: As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here:



Relocation:  Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.


For more information about our benefits, working here, and living here, visit the “About” tab at


This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email

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.

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