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Los Alamos National Laboratory
Just Landed
3 days ago
Postdoctoral Research Associate in Quantum Many-Body Perturbation Theory and Machine Learning for Condensed Matter Physics Los Alamos National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
Los Alamos National Laboratory
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Keywords
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About this position
Los Alamos National Laboratory's Quantum and Condensed Matter Physics Group in the Theoretical Division is seeking a postdoctoral researcher in theoretical condensed matter physics.
The project centers on quantum many-body perturbation theory and its extension to non-equilibrium problems. The postdoctoral researcher will develop theoretical and computational methods to model scanning tunneling spectroscopy (STS) spectra of transuranic compounds, while applying machine learning techniques to analyze theoretical and experimental spectra.
The work combines condensed matter theory, computational physics, and machine learning. The researcher will contribute to efforts to uncover fundamental properties of transuranic compounds and identify fingerprints of bonding and electronic correlations. The position involves close collaboration with condensed matter theory and experimental scientists in a dynamic, multidisciplinary research team at Los Alamos National Laboratory.
The role is based onsite in Los Alamos, New Mexico, providing an environment for collaborative research alongside scientists working on advanced theoretical, computational, and experimental problems.
Funding details
Available
What's required
Applicants must demonstrate strong skills in condensed matter theory and an excellent scientific publication record. Expertise in quantum many-body perturbation theory calculations and programming experience in Python, C++, or Fortran are required. Knowledge of basic machine learning methods is highly desirable but not required. Experience with Linux computing environments, particularly high-performance computing, is desirable. Candidates should be able to work creatively both independently and as part of a diverse team and must have strong written and oral communication skills.
How to apply
Review the position details and submit an application through the Los Alamos National Laboratory application portal using the provided link. Applications will be reviewed immediately and accepted until the position is filled. Direct inquiries to Christopher Lane at [email protected].
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