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Radiation Detection Data Analysis - R&D Associate

Date: May 15, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 7258 


We are seeking a who will focus on research and development in data science related techniques that will yield novel and advanced radiation detector systems and algorithms in support of applications from a broad user base. This position resides in the Advanced Radiation Detection, Imaging, Data Science, and Applications (ARDIDSA) Group in the Nuclear Structure & Astroparticle Physics Section, Physics Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).


ARDIDSA focuses on the development and evaluation of novel and advanced radiation detector and non-destructive evaluation concepts for basic science, nonproliferation, national security, and intelligence organizations. The ARDIDSA group performs the research and technology development to evolve these advanced concepts from conception to demonstration or deployment with particular emphasis on sensitivity and specificity in actual field operations, including use of radiation transport codes to model these systems and analysis codes to isolate signals of interest.

Major Duties/Responsibilities:

As part of our research team, you will work with research staff within ARDIDSA and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including nuclear material detection, nuclide identification, and radioactive materials localization capabilities to support nuclear security missions. The research involves development and testing of novel data analytics processes and specialized algorithms to improve measurement efficiency and reduce uncertainties. Results will be documented by publication in high impact papers, journals, conference papers and technical reports.


Basic Qualifications:

  • A PhD degree in physics, nuclear engineering, computer engineering, computer science, mathematics, or a related discipline
  • Graduate-level research experience in data science applications to scientific problems.
  • Experience in Python programming language and packages related to data science such as numpy, scipy, tensorflow, etc.

Preferred Qualifications:

  • Demonstrated proficiency in one or more additional programming languages related to scientific research is desired, such as C++, Julia, Fortan, and/or R.
  • Previous experience in the application of data science to radiation detection, identification, localization, or material characterization is desired.
  • Familiarity with one or more radiation transport codes such as MCNP, SCALE, and/or Geant
  • 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

Special Requirements

Three letters of reference are required and can be uploaded to your profile or emailed directly to Please include the title of the position in the subject line.


This position requires the ability to obtain and maintain an HSPD-12 PIV badge.


This position requires the ability to obtain and maintain a Q 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.




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