NIST PREP Graduate Student in Neural Network-powered Digital Twin for Advancing Primary Standards

Job Category: physics
Job Type: doctoral student graduate student
Job Location: Gaithersburg Maryland
Job Program: NIST-PREP
Experience: 2+ years experience Graduate Student
Work Type: on-site
Salary Range: $22-$26 per hour

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration’s scientific research.

Research Title: SI meets AI: Neural Network-powered Digital Twin for Advancing Primary Standards

The work will entail:  We propose to develop physics- and empirically informed digital twin representations for high-impact SI realizations of mass, voltage, and resistance that are advancing towards commercialization. Leveraging recent advancements in artificial intelligence (AI), including neural networks and digital twins, we expect to bypass the conventional, iterative prototyping and development cycle. Rather than taking decades to achieve an optimal design, our digital twin representations will enable rapid, offline optimization of their respective real-life embodiments, significantly accelerating time to market.

U.S. Citizen Preferred

Key responsibilities will include but are not limited to:

  • Exploring AI networks for Regression models of Physical SI measurements
  • Exploring AI networks for image classification of graphene data
  • Create presentation material of the results

 

Qualifications

  • US citizenship is preferred.
  • PhD Candidate in Physics with 2 or more years of relevant experience.
  • Expertise in Pytorch/Python and state of the Art AI models like vision transformers and advanced CNNs.
  • Ability to build deployable complex software solutions for image reconstruction.
  • Strong oral and written communication skills and strong presentation skills.

 

Privacy Act Statement
Authority:  15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose:  The National Institute for Standards and Technology (NIST) hosts the  Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses:  NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices:  NIST-1: NIST Associates.
Disclosure:  Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.

SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.

PREP0004370

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