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Scientist - Nuclear Reaction Modeling & Evaluation

Essential Duties and Responsibilities
  • Perform a critical review of experimental data, provide recommended values, and combine these values with theoretical calculations to develop new ENDF evaluations. 
  • Develop applications that apply Machine Learning techniques to accelerate data analysis, compilation, and evaluation.     
  • Participate in and analyze experiments related to the ENDF database and/or perform theoretical calculations to complement nuclear reaction measurements supporting ENDF library improvements.   
  • Document and disseminate research results through publications and conduct research presentations at meetings and conferences. 
Required Knowledge, Skills, and Abilities
  • Bachelor’s and 8+ years, or Master’s and 6+ years, or Doctorate and 2+ years post PHD in experimental or theoretical low-energy nuclear physics or nuclear engineering or directly related experience in a scientific or research role 
  • Demonstrated expertise in low energy reaction theory or experiment 
  • Solid publication record in peer-reviewed journals 
  • Programming in C/C++ and Python languages 
  • Clear and concise oral and written communication skills in order to prepare and deliver oral presentations and write articles for scientific journals 
  • Attention to detail 
Preferred Knowledge, Skills, and Abilities
  • Demonstrated expertise in one of the following areas: (a) low-energy nuclear reaction modeling, (b) R-matrix fitting of experimental data 
  • Experience with data science and scientific data management 
  • Familiarity with the Fortran programming language 
  • Experience with parallel computation on HPC 
  • Experience with Machine Learning algorithms applicable to physical sciences, such as Gaussian Process and Bayesian network approaches