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Oak Ridge National Laboratory

Postdoctoral Research Associate in Condensed Matter Theory, Quantum Materials, and AI/ML Oak Ridge National Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Oak Ridge National Laboratory

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Keywords

Computer Science
Chemistry
Materials Science
Artificial Intelligence
Theoretical Physics
Condensed Matter Physics
Quantum Materials
Electronic Structure
Density Functional Theory
Physics
Computational Materials Science
Machine learning

About this position

Oak Ridge National Laboratory (ORNL) is inviting applications for a Postdoctoral Research Associate in Condensed Matter Theory in Oak Ridge, Tennessee, USA.

This opportunity is centered on computational materials science, condensed matter physics, quantum materials, and AI/ML-driven materials discovery. The project aims to develop cutting-edge computational methods that combine electronic structure theory and artificial intelligence to study advanced quantum materials.

Research topics include first-principles electronic structure calculations, Quantum Monte Carlo (QMCPACK, PYQMC), Density Functional Theory (Quantum ESPRESSO, VASP, PySCF), and AI/ML approaches for understanding electronic, magnetic, vibrational, and topological properties of DOE-relevant advanced materials.

Eligibility requires a PhD completed within the last 5 years in computational/theoretical condensed matter physics, theoretical chemistry, theoretical materials science, or a closely related field. Applicants should have experience in computational modeling of electronic and magnetic properties. Preferred strengths include a strong publication record, experience with Quantum Monte Carlo or other many-body ab initio methods, knowledge of AI and machine learning for materials research, and strong communication/collaboration skills.

The position is on-site at ORNL. Application materials mentioned in the post include a CV/resume and three letters of recommendation. No deadline was stated in the post.

The post was shared by Muskan Sahu, a Bundelkhand University research scholar, but the opening itself is at ORNL and is not presented as a scholarship announcement.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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