Part-Time Cyber Research Assistant

Date: Nov 19, 2023

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 10769 


Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.  We are seeking a Part Time Research Assistant who will support the Cybersecurity Research Group in the Cyber Resilience and Intelligence Division, National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL).    


Major Duties/Responsibilities:   

  • Implement, evaluate, and enhance the effectiveness of state of the art reinforcement learning and other machine learning / deep learning algorithms in a testbed environment
  • Applying adversarial techniques improve model resilience via data diversification
  • Publish key results in respected peer-reviewed conferences and journals 
  • Provide support in other machine learning based efforts to enhance strategic defensive cyber capabilities 
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace - in how we treat one another, work together, and measure success.


Basic Qualifications: 

  • A BS or equivalent in computer science, mathematics, or a related field completed within the last 5 years 
  • Strong ML background and formal education or exposure to deep reinforcement learning.  
  • Capable programmer, especially with deep learning frameworks such as PyTorch, Keras, and TensorFlow, and libraries such as scikit-learn and numpy 
  • Recent publications at peer-reviewed conferences or journals
  • US citizen 


Preferred Qualifications: 

  • Ph.D. or equivalent in machine learning research
  • A deep understanding of the application of reinforcement learning for executable binary manipulation 
  • A track record of publications at peer-reviewed venues in the area of reinforcement learning 
  • Knowledge and experience in the cybersecurity research domain
  • Excellent written and oral communication skills  
  • 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  


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 


Special Requirements:

  • This position requires the ability to obtain and maintain an Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.  In addition, due the SCI, you may be also be subject to random polygraph testing.   


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