David Broniatowski
8 months ago
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Postdoctoral Researcher in AI/ML and Computational Chemistry at George Washington University George Washington University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is a paid postdoctoral fellowship as part of the NIST Professional Research Experience Program (PREP) at George Washington University. Specific stipend amount and funding details are not mentioned.
Deadline
Expired
Country
United States
University
George Washington University
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About this position
The George Washington University, in collaboration with the Materials Measurement Laboratory at NIST, is seeking a Postdoctoral Researcher for the NIST Professional Research Experience Program (PREP). This position is part of the CHIPS initiative and focuses on leveraging artificial intelligence (AI) and machine learning (ML) to predict the infrared and mass spectra of PFAS compounds, which are critical for semiconductor etching processes.
The successful candidate will develop training data libraries through database mining and quantum chemistry simulations, create and validate high-fidelity AI/ML models to match experimentally measured spectra, and collaborate with a multidisciplinary team of computational and experimental researchers. The research aims to discover new molecules for advanced semiconductor manufacturing.
Applicants should have a Ph.D. in Chemistry, Physics, or a closely related field, with proven experience in quantum scattering calculations. Strong programming skills in Python or C/C++ and expertise in AI/ML software frameworks are required. Candidates must be eligible for a U.S. Department of Commerce background check. The position offers the opportunity to work at the intersection of computational chemistry, data science, and materials science, contributing to cutting-edge research in semiconductor technology.
To apply, visit the provided application link and submit your materials as instructed. For more information about the supervisor, see David Broniatowski's LinkedIn.
Funding details
The position is a paid postdoctoral fellowship as part of the NIST Professional Research Experience Program (PREP) at George Washington University. Specific stipend amount and funding details are not mentioned.
What's required
Applicants must hold a Ph.D. in Chemistry, Physics, or a closely aligned field. Proven experience in conducting quantum scattering calculations is required. Strong programming skills in Python or C/C++ and expertise in AI/ML software frameworks are essential. Candidates must be eligible to obtain a U.S. Department of Commerce background check. Independence and a passion for applying data science to chemical challenges are preferred.
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Professors
Professor of Engineering Management and Systems Engineering
United States
Research Interests
Artificial Intelligence
Statistics
Physics
Materials Science
Computer Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.