Publisher
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David Broniatowski

6 months ago

PREP Research Associate in Physics, AI, and Digital Twins for Primary Standards George Washington University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

PREP Research Associate position at George Washington University and NIST; compensation/funding details are not specified in the post.

Deadline

Expired

Country flag

Country

United States

University

George Washington University

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Materials Science
Artificial Intelligence
Software Engineering
Computer Vision
Metrology
Artificial Neural Network
Mass Measurement
Statistics
Convolutional Neural Network
Physics

About this position

George Washington University and NIST are seeking a PREP Research Associate for the project “SI meets AI: Neural Network-powered Digital Twin for Advancing Primary Standards” in Gaithersburg, Maryland, United States.

This opportunity sits at the intersection of physics, artificial intelligence, computer science, electrical engineering, and materials science. The project focuses on building physics-informed digital twins for primary standards in mass, voltage, and resistance, with the goal of accelerating the development and commercialization of next-generation SI realizations.

Responsibilities include developing and implementing AI regression models for high-impact physical measurements, using Vision Transformers and CNNs for image classification of graphene data, building software for image reconstruction and system simulation, and preparing presentation materials for NIST and industry stakeholders.

Eligibility highlights: the post explicitly seeks a PhD candidate in Physics with 2+ years of relevant experience. Applicants should have strong skills in PyTorch, Python, advanced computer vision methods, and the ability to develop deployable scientific software.

No deadline, stipend, or funding package is specified in the post. Interested candidates should use the provided application link to review the posting and apply.

Funding details

PREP Research Associate position at George Washington University and NIST; compensation/funding details are not specified in the post.

What's required

PhD candidate in Physics with 2+ years of relevant experience. Strong expertise in PyTorch/Python, Vision Transformers, and advanced CNN architectures. Ability to build deployable, complex software for image reconstruction and modeling. Experience with AI regression models, computer vision, and scientific computing is implied.

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Professors

Professor of Engineering Management and Systems Engineering

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Statistics

Physics

Materials Science

Computer Science