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Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

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UT Southwestern Medical Center

Dallas, Texas

The Abdus Salam International Centre for Theoretical Physics

Rwanda

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Optica

Washington, D.C.

University of Tampa

Tampa, Florida

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Centenary College of Louisiana

Shreveport, Louisiana

Simpson College

Indianola, Iowa

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University of Massachusetts

Amherst, Massachusetts

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AIP Publishing

Melville, New York

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The University of Texas at Austin

Austin, Texas

CERN

Meyrin, Switzerland

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Florida Polytechnic University

Lakeland, Florida

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Faculty Position at the Interface of Physics and Machine Learning
The Department of Physics at the University of Maryland, College Park invites applications for a tenure-track faculty position at the interface of physics and machine learning. While we anticipate hiring at the Assistant Professor level, a more senior level position could be considered for exceptional candidates. Combining machine learning (ML) with physics is a rapidly growing area of research, which has received a tremendous amount of attention in both the physics and ML communities. While much work in this area has focused on applying ML tools to help solve problems in physics, the primary focus of our search is research that leverages and extends methods from physics (e.g., from nonlinear dynamics and statistical physics) to gain a better understanding of how and why ML methods work


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