Postdoctoral Researcher in Machine Learning...

The Postdoctoral Researcher will develop machine learning (ML)-based methods for reaction dynamics simulations in both gas-phase and condensed-phase systems. The primary focus of this position is the development and enhancement of reliable, robust ML-based reactive potentials to support advanced computational chemistry research.

In addition to conducting independent and collaborative research, the Postdoctoral Researcher will serve as a primary point of contact for an open-source software platform, providing technical support, guidance, and assistance to members of the scientific community. The successful candidate will contribute to software development, user engagement, and the dissemination of research findings through publications and presentations.

Required Minimum Qualifications:PhD in Chemistry or a closely related field.

• Demonstrated experience conducting quantum chemistry calculations and reaction dynamics simulations.

• Demonstrated experience developing Python-based software for direct dynamics applications.

• Demonstrated experience developing machine learning-based force fields for reactive dynamics simulations.

• Strong publication record in reputable, peer-reviewed scientific journals.

• Demonstrated ability to collaborate effectively with computational chemists on scientific software development projects.

• Demonstrated ability to collaborate effectively with experimental chemists in the simulation and interpretation of crossed-beam and guided-beam experiments., Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship. Immigration sponsorship is not available for this position.

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