Postdoctoral Fellow; PREP

Job Overview

PREP Research Associate on a CHIPS funded project for the National Institute of Standards and Technology (NIST). The role supports research in machine learning for predicting infrared and mass spectra of PFAS compounds.

• Develop libraries of training data by mining existing databases and simulating infrared and mass spectra using quantum chemistry and related methods.
• Create AI/ML models for high‑fidelity prediction of infrared and mass spectra and validate predictions against experimentally measured spectra.
• Collaborate with chemists, physicists, mathematicians, data scientists and other machine learning experts to meet project goals.
• Disseminate results through publications, talks, poster presentations, and other scientific outlets.

• Ph.D. in chemistry, physics, or a closely related field.
• Demonstrated experience in conducting quantum scattering calculations.
• Strong programming skills in languages such as Python or C/C++, experience using modern software frameworks for AI/ML, and experience in data analysis.
• Motivated, independent researcher with strong organizational, communication, and leadership abilities.
• Solid track record of scientific publication.

$89,000.

The Johns Hopkins University is an Equal Opportunity Employer. We do not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, nationality, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.