Postdoctoral Fellow — ML Spectra Predictor

Johns Hopkins University; Gaithersburg (MD); On-site; USD 80,100 - 97,900; Full time

Job summary

The Chronicle Of Higher Education, Inc. is seeking a Research Associate for a CHIPS funded project at NIST in Gaithersburg, Maryland. This role focuses on the development of AI/ML models for predicting infrared and mass spectra of PFAS compounds, requiring a Ph.D. in chemistry or physics. Candidates must demonstrate experience in quantum calculations and programming skills in Python or C/C++. A solid track record of scientific publication and collaborative abilities are essential. The position offers a salary of $89,000.

Qualifications

• 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 in AI/ML frameworks.

Responsibilities

• Develop libraries of training data from existing databases and simulations.
• Create AI/ML models for predicting infrared and mass spectra.
• Collaborate with scientific experts to meet project goals.

Skills

Quantum scattering calculations

Python programming

C/C++ programming

Data analysis

AI/ML software frameworks

Education

Ph.D. in chemistry, physics, or closely related field

Job description

The Chronicle Of Higher Education, Inc. is seeking a Research Associate for a CHIPS funded project at NIST in Gaithersburg, Maryland. This role focuses on the development of AI/ML models for predicting infrared and mass spectra of PFAS compounds, requiring a Ph.D. in chemistry or physics. Candidates must demonstrate experience in quantum calculations and programming skills in Python or C/C++. A solid track record of scientific publication and collaborative abilities are essential. The position offers a salary of $89,000.