Publisher
source

Oak Ridge National Laboratory

Postdoc in AI/ML and Multiscale Modeling of Materials under Non-Equilibrium Conditions 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
Materials Science
Nanotechnology
Multiscale Modeling
Physics
ML

About this position

Oak Ridge National Laboratory is advertising a postdoctoral position in the Nanomaterials Theory Institute at the Center for Nanophase Materials Science (CNMS).

The project focuses on AI/ML and multiscale modelling of materials under non-equilibrium conditions, with emphasis on ion-matter interactions, field-driven dynamics, and beam-assisted synthesis and processing. The successful candidate will work on atomistic modelling, machine-learned interatomic potentials, and AI/ML methods, while collaborating closely with experimental teams at CNMS.

This opportunity is best suited to researchers with a background in materials science, physics, and computational methods, especially those interested in data-driven modelling of materials behavior. The post does not list a deadline, stipend, or detailed eligibility criteria in the provided text.

Applicants should use the ORNL application link to review the full job description and submit materials through the official portal.

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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