Assistant Research Scientist (PREP0004370)

Johns Hopkins University; Gaithersburg (MD); On-site; USD 30,307 - 35,817; Part time

Job summary

The Chronicle Of Higher Education, Inc. is hiring a PREP Research Associate to support technical work at NIST. The candidate will explore AI networks for scientific research and must have a PhD candidacy in Physics along with expertise in PyTorch and strong communication skills. The role includes responsibilities such as creating presentation materials and it offers an hourly wage between $22 - $26. This position is located in Gaithersburg, Maryland.

Qualifications

• PhD candidate in Physics with 2+ years of relevant experience.
• Expertise in PyTorch/Python and advanced AI models.
• Strong presentation skills.

Responsibilities

• Explore AI networks for regression models of physical SI measurements.
• Explore AI networks for image classification of graphene data.
• Create presentation material of the results.

Skills

Expertise in PyTorch/Python

Strong oral and written communication skills

Ability to build deployable complex software solutions

Experience with AI models such as vision transformers

Education

PhD candidate in Physics

Job description

Salary

$22 - $26 an hour

Position

PREP Research Associate – National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP)

Description

The role involves technical work supporting collaboration’s scientific research on developing physics- and empirically-informed digital twin representations for mass, voltage, and resistance primary standards.

Research Title

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

Responsibilities

• Explore AI networks for regression models of physical SI measurements
• Explore AI networks for image classification of graphene data
• Create presentation material of the results

Qualifications

• US citizenship preferred
• PhD candidate in Physics with 2+ years of relevant experience
• Expertise in PyTorch/Python and state-of-the-art AI models such as 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

Equal Employment Opportunity Statement

The Johns Hopkins University is an equal opportunity employer and does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or other legally protected characteristics.