Postdoctoral Researcher, AI-Driven Molecular Dynamics

Oak Ridge National Laboratory

Oak Ridge (TN)

On-site

USD 65,000 - 90,000

Full time

4 days ago
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Job summary

Oak Ridge National Laboratory invites applications for a Postdoctoral Research Associate focused on computational chemistry in condensed-phase systems. You will join the Chemical Dynamics Group within the Chemical Transformation Section, collaborating across facilities to advance molecular reaction chemistry research.

The role emphasizes developing AI/ML workflows, MD simulations, and data-driven analyses, with opportunities to publish in peer-reviewed journals and contribute to DOE-supported

Qualifications

  • PhD in Computational Chemistry, Chemical Engineering or a closely related field completed within the last 5 years.
  • Experience with classical and/or ab initio molecular dynamics of liquids.
  • Development and/or application of machine learning potentials.
  • Modeling of molecular reaction and kinetics (e.g., Markov-state models).
  • Excellent written and oral communication skills.

Responsibilities

  • Work with a multidisciplined team to advance understanding of molecular reaction chemistry in aqueous and organic media.
  • Develop and evaluate statistical mechanical and AI/ML algorithms/workflows on leadership-class HPC facilities.
  • Plan and conduct simulations, integrating data-driven approaches and collaborating with experimentalists.

Skills

Computational chemistry
Molecular dynamics
AI/ML methods
HPC workflows
Spectroscopic interpretation

Education

PhD in Computational Chemistry or Chemical Engineering

Job description

Oak Ridge National Laboratory invites applications for a Postdoctoral Research Associate focused on computational chemistry in condensed-phase systems. You will join the Chemical Dynamics Group within the Chemical Transformation Section, collaborating across facilities to advance molecular reaction chemistry research.

The role emphasizes developing AI/ML workflows, MD simulations, and data-driven analyses, with opportunities to publish in peer-reviewed journals and contribute to DOE-supported

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