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Eun-Ah Kim

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6 days ago

Postdoctoral Fellowships in Theoretical Physics and AI-Driven Materials Discovery at Cornell University Cornell University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Both positions offer competitive compensation and travel funding, with access to collaborative research environments across Cornell's departments and institutes.

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Country

United States

University

Cornell University

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Keywords

Computer Science
Materials Science
Theoretical Physics
Condensed Matter Physics
Quantum Materials
Physics
ML

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About this position

Cornell University is inviting applications for two prestigious postdoctoral fellowship opportunities: the Bethe / Wilkins / KIC Theory Postdoctoral Fellowship and the NSF AI Institute for Materials Intelligence (AI-MI) Postdoctoral Fellowship.

These positions are centered on theoretical physics and AI-driven materials discovery, with strong connections to quantum materials, condensed matter physics, machine learning, and materials intelligence. Fellows will work in a rich collaborative environment across Cornell's departments and institutes.

The post highlights competitive compensation and travel funding. No specific deadline or detailed eligibility criteria are provided in the post itself, so interested candidates should review the linked job listings for full application instructions and requirements.

This is a strong opportunity for researchers seeking postdoctoral training at the intersection of physics, materials science, and AI for science.

Funding details

Both positions offer competitive compensation and travel funding, with access to collaborative research environments across Cornell's departments and institutes.

What's required

Applicants are being sought for postdoctoral fellowship opportunities in theoretical physics and AI-driven materials discovery. The post does not list detailed eligibility criteria, but the roles are aimed at prospective postdoctoral candidates with relevant research backgrounds in physics, materials discovery, quantum materials, condensed matter, or machine learning for science.

How to apply

Review the linked job listings for each fellowship and submit an application through the academicjobsonline.org postings. Share the opportunity with prospective candidates if appropriate.

More information can be found here

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