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Nuclear Energy Controls Engineer

Date: Aug 13, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 8638 


We are seeking an Nuclear Energy Controls Engineer who will focus on developing and applying modern control technologies for nuclear energy applications. This position resides in the Modern Nuclear I&C group in the Nuclear Energy and Fuel Cycle Division, FFES Directorate at Oak Ridge National Laboratory (ORNL).   As part of our research team, you will perform R&D to advance the field of knowledge and technology in machine learning and data science applied to advancing nuclear energy; perform work consistent with Environment, Safety, Security, Health, and Quality (ESH&Q) requirements and business rules; and support a diverse and inclusive work environment where every employee feels safe, heard, and appreciated—a workplace that sets an example for the broader community.


Major Duties/Responsibilities: 

  • Develop, implement, and demonstrate modern control approaches to nuclear energy systems to meet emerging operational contexts
  • Apply and integrate data science techniques and digital twins with control architectures to support reasonable level of autonomy in the operation of nuclear energy systems under emerging contexts
  • Work with R&D line management and other research staff to Identify opportunities for research program development, and lead proposals
  • Be an active member of professional organizations and contribute to the advancement of the advanced controls professional communities, and
  • Lead the development of journal and conference articles and technical reports that document research results.


Basic Qualifications:

  • A PhD in mechanical, electrical, nuclear, computer, or chemical engineering, engineering physics, or a related field
  • A minimum of 3 years of experience in advanced control systems
  • Strong scholarly record demonstrated by a record of publications and presentations


Preferred Qualifications:

  • Experience with nuclear energy control needs and applications
  • Experience with machine learning techniques and tools such as Tensorflow and Pytorch
  • Experience with modeling and simulation software such as Modelica, ANSYS
  • Experience with common software tools for modeling in nuclear energy (e.g., CTF, VERA, SCALE, MOOSE, etc.)
  • Experience in proposal writing
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory 
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
  • Excellent written and oral communication skills


Special Requirements:

Letters of Recommendation: Not required.


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.

Nearest Major Market: Knoxville