PREP0003620 Research Associate: Application of Machine Learning for the Prediction of Infrared and Mass Spectra of PFAS Compounds (Chips Funded)

NIST  MML – 63 has a new PREP research opportunity described below and in the attached (PREP0003620). The NIST Sponsor is seeking candidate recommendations.

  • Project Title/Description: Application of Machine Learning for the Prediction of Infrared and Mass Spectra of PFAS Compounds
  • OU: MML – 63
  • Div: 646
  • Group: Chemical Informatics Group
  • Level of Appointment: Post-doctoral Fellow
  • Schedule of Appointment: full time
  • Total Hours per week: 40
  • Work Location: Physically at NIST (Gaithersburg, MD)
  • Requested Start Date: 2025-11-01
  • End Date: 2026-04-30