The student will work with a team of engineers and chemists to help develop a programming solution to optimize black-box thermodynamic software calculations. The student will have additional opportunities in developing software involved in peer reviewed publications. Desired qualifications:
  • Competence developing Python scripts for data processing (or other data science experience/language).
  • Ability to effectively communicate with collaborators across a spectrum of fields and experience.
  • Time availability to allow significant weekly progress.
Contact Theodore M. Besmann, PhD Professor and SmartState Chair Director, General Atomics Center for Transformational Nuclear Technologies University of South Carolina Horizon Bldg. I, Room 434 541 Main Street Columbia, SC 29208 E-mail: besmann@sc.edu