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Postdoctoral Researcher in Computational Materials Science

1 month ago

Cambridge, Massachusetts, United States Harvard University Full time
Job Opportunity

We are seeking a highly motivated and experienced researcher to join our team at Harvard University as a Postdoctoral Fellow in Material Science. The successful candidate will be part of the Materials Intelligence Research group led by Prof. Boris Kozinsky and will work on developing and applying first principles and machine learning methods for computational materials physics and chemistry.

Responsibilities
  • Develop and implement machine learning methods for computational materials physics and chemistry
  • Collaborate with the research group to advance the state of the art in computational materials science
  • Contribute to the development of new research projects and initiatives
Requirements
  • PhD in Physics, Chemistry, Materials Science, Computer Science, or a related field
  • Experience with machine learning methods and high-performance scientific software
  • Strong background in computational materials science and physics
Preferred Qualifications
  • Experience with implementation of machine learning methods and development of high-performance scientific software
  • Knowledge of LAMMPS and other computational materials science software
  • Fluency in programming languages such as Python, C++, or Java
How to Apply

To apply, please submit a full CV, cover letter summarizing your experience, list of reference contacts, and up to 3 publications. We are an equal opportunity employer and welcome applications from diverse candidates.