Publisher
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Wesley Reinhart

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Posted Yesterday

Postdoc in AI/ML for Autonomous Materials Discovery at Penn State University Penn State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Penn State Universit

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Keywords

Computer Science
Machine Learning
Chemistry
Electrical Engineering
Materials Science
Computer Vision
Material Characterization
Photonic
Physics
Electronics

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About this position

Penn State University is advertising a postdoctoral scholar position in the Reinhart Group focused on AI/ML for autonomous materials discovery. The project is part of the new LATTICE Programmable Cloud Laboratory Test Bed and contributes to a national network of AI-orchestrated laboratories for materials discovery in electronics, photonics, and quantum technologies.

The research emphasis is on developing domain-specific machine learning models to support agentic operations on materials characterization data. The ideal candidate should have a strong background in machine learning, computer vision, or agentic AI, together with experience or interest in the physical sciences, especially materials science.

This is a good fit for applicants who want to work at the intersection of computer science and materials science, with applications in experimental science automation and data-driven discovery. The post does not mention a deadline, stipend, or other funding specifics, but it is clearly a postdoc opening at Penn State University in University Park, PA, United States.

To apply, open the job posting linked from the LinkedIn announcement and follow the university hiring instructions. Prepare materials that highlight your ML/AI background and any relevant physical sciences or materials characterization experience.

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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