Postdoctoral Researcher

2 weeks ago


Lemont, Illinois, United States Argonne National Laboratory Full time
Revolutionize Scientific Workflows with AI

Argonne National Laboratory is seeking a highly motivated Postdoctoral Appointee to explore the application of large language models (LLMs) in streamlining complex scientific workflows for computational chemistry and materials science. As a key member of our team, you will develop innovative solutions using LLMs to support our mission of accelerating scientific discovery.

Key Responsibilities:
  • Apply LLMs to enhance user accessibility and efficiency in complex scientific workflows.
  • Develop and implement novel solutions using LLMs to support ANL's mission.
  • Conduct research and contribute to publications, presentations, and reports promoting the integration of AI in computational chemistry and materials science.
  • Collaborate with interdisciplinary teams and external partners to maximize the impact of developed methods.
Requirements:
  • Recently completed Ph.D. in Physics, Chemistry, Materials Science, or a closely related field.
  • Strong programming skills in Python or other relevant languages used in scientific computing.
  • Experience with machine learning techniques, including training, validating, and implementing models.
  • Experience with high-performance computing environments and tools.
  • Strong interest in LLMs and their application in scientific domains.
  • Understanding of quantum chemistry methods and experience in applications of these methods.
  • Ability to conduct independent research and demonstrated publication record in peer-reviewed journals.
  • Innovative thinking and problem-solving skills in tackling complex scientific challenges.
  • Interest in contributing to open-source projects and community-driven initiatives within computational science.
  • Effective communication skills for collaboration with interdisciplinary teams and clear presentation of complex technical information.
  • Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork.
Desired Skills:
  • Experience in LLMs and their applications in scientific domains.
  • Knowledge of workflow tools and automation techniques to enhance efficiency in complex computational tasks.
  • Experience in developing and using machine learning potentials for molecular dynamics simulations.
  • Experience with AI frameworks and technologies relevant to computational chemistry and materials science.


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