Student Assistant – Computational Materials Science and Machine Learning

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A Student Assistant position is immediately available in the Condensed Matter Physics and Materials Science Division. The role focuses on computational materials science and machine learning applications, with an emphasis on strongly correlated condensed matter systems.

This position will be for 3 months

Essential Duties and Responsibilities

• Develop a prototype neural network model for modeling strongly correlated materials.
• Implement and experiment with models using PyTorch and TensorFlow frameworks.
• Collaborate with team members to evaluate and refine model performance.
• Document code, experiments, and results clearly and consistently.

Required Knowledge, Skills, and Abilities

• Recent completion of a bachelor’s or master's degree within the last semester, or current enrollment in a graduate program in physics or a related field (e.g., engineering, applied mathematics, statistics, or computer science) with a minimum GPA of 3.5.
• Good understanding of artificial intelligence (AI) and condensed matter physics.
• ·Strong programming skills, particularly in scientific computing and machine learning.

Preferred Knowledge, Skills, and Abilities

• Demonstrated research experience in computational physics, machine learning, or related areas.
• Practical experience in developing novel AI/ML models and algorithms.
• Experience collaborating in multidisciplinary research environments.
• Strong oral and written communication skills.

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Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.

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