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Alejandro Strachan

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1 month ago

Postdoc Position in AI and Physics-Based Modeling for 2D Materials and Metallic Alloys at Purdue University Purdue University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position at Purdue University; funding details, stipend, and duration are not specified in the post.

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Country

United States

University

Purdue University

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Keywords

Computer Science
Data Science
Molecular Dynamics
Nanoscience
Density Functional Theory
Energy Materials
2d Material
Physics
Aerospace Materials

About this position

Postdoctoral position at Purdue University in AI and physics-based modeling for 2D materials and metallic alloys.

The position is part of the ICoN programmable cloud lab / ICoN-PCL team and involves close collaboration with experimentalists, theoreticians, data experts, the Birck Nanotechnology Center, the Manufacturing and Materials Research Laboratory, and the nanoHUB team.

Research themes include materials discovery, AI/ML for science, density functional theory, molecular dynamics, data science, and modern infrastructure for science, with applications in aerospace, energy, and electronics.

Applicants should have a PhD in Materials Science & Engineering, Physics, or a related field. Strong communication skills and an interest in a highly collaborative environment are required; experience in AI/ML, computational materials science, and related methods is desired.

The post mentions co-supervision by Prof. Arun Mannodi Kanakkithodi and Dr. Juan Carlos Verduzco, and notes that Ilias Bilionis and Tianyi Zhang are also hiring postdocs for the same team.

Interested candidates should apply via the provided link.

Funding details

Postdoctoral position at Purdue University; funding details, stipend, and duration are not specified in the post.

What's required

Applicants must have a PhD in Materials Science & Engineering, Physics, or a related field. Desired background includes AI/ML for science, density functional theory, molecular dynamics, materials discovery, data science, and modern infrastructure for science. Excellent communication skills and an interest in working in a highly collaborative environment are required.

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