Assistant Research Scientist (PREP0004370)
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.
Key responsibilities will include but are not limited to:
Qualifications:
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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.
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