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Postdoctoral Researcher

2 months ago

Lemont, Illinois, United States Argonne National Laboratory Full time
Job Summary

We are seeking a highly skilled Postdoctoral Appointee to join our team at Argonne National Laboratory. As a key member of our research group, you will play a critical role in developing and implementing large language model (LLM) agents to streamline complex scientific workflows in computational chemistry and material science.

Key Responsibilities
  • Apply LLMs to optimize and manage complex scientific workflows, enhancing user accessibility and efficiency.
  • Develop and implement innovative solutions using LLMs to support our mission of accelerating scientific discovery.
  • Conduct research and contribute to publications, presentations, and reports, promoting the integration of AI in computational chemistry and material science.
  • Collaborate with interdisciplinary teams and external partners to maximize the impact of the methods developed.
Requirements

To be successful in this role, you will need:

  • A recently completed Ph.D. (typically within the last 0-5 years, or to be awarded in 2024) 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 large language models 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 effective 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 and Experience

We are particularly interested in candidates with experience in:

  • Large language models 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 material science.
Job Details

This is a full-time, long-term (fixed term) position at Argonne National Laboratory.