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PREP Research Associate

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Interactive 3D Visualization to enable Visual Analytics for Measurement Science

There are variety of tools and frameworks available for visual analytics, but very few are capable of providing interactive 3D visualization. Trame does this by leveraging VTK and/or ParaView (as well as integrating other tools such as Vega). Trame is the culmination of decades of work: VTK/ParaView, ParaViewWeb, and vtk.js are just some of the components that trame builds upon, but does so in such a way as to hide the complexity of these underlying systems. Trame is a Python integration framework to easily build web applications with minimal knowledge of web development or technology.

In this project, we will explore measurement science data using information visualization and scientific visualization techniques in an immersive environment. Data correlation between 2D and 3D data in an immersive environment will also be explored using Trame and ParaView. The resulting immersive visualization platform can be used to reconstitute the measurement science data (generated and/or collected) to produce a digital twin of the real world and provide the means to interact with the digital twin, mirroring real world interactions. Various data format support and data analysis techniques will also be added to enable real-time data exploration and analysis of the data in an immersive environment. Users of the digital twin will manipulate their data on the laptop version of the platform to setup an immersive scientific visualization session for either the CAVE TM or Head Mounted Display system.

The work will entail:

Key responsibilities will include but are not limited to:

• Ability to explore measurement science data using information visualization and scientific visualization techniques in an immersive environment.

• Utilizing visual and data analytics tools and techniques.

• Analyzing and manipulating data on the laptop version of a platform to setup an immersive scientific visualization session for either the CAVETM or Head Mounted Display system.

• Experience with software engineering and data science.

• Experience with Python 3, and Machine Learning.

• Experience with 3D Immersive Technology as well as VR application development.

• Must be able to work independently and with other researchers while under the guidance of a mentor.

• Experience with ParaView and Trame is a plus but not required.

Salary: $30-$31 per hour

Please upload the following with your application:

- CV/Resume

*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.

- Self portraits

- Phone number

- Home address/Country

- Citizenship status

- Languages spoken

- Sex/Gender

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) (https://www.nist.gov/iaao/academic-affairs-office/nist-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.

Job Type: Part Time

The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.

Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

EEO is the Law

https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf