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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.

The current public release of the AM Bench 2022 instance of the NIST Configurable Data Curation System (CDCS) may be accessed at https://ambench2022.nist.gov. This serves as a measurement metadata catalog, allowing users to access and search the full range of AM Bench data and metadata. The current release includes approximately 870 data records, covering feedstock materials, build processes, build geometries, part provenance, sample preparation, measurement methods, instrument metadata, sample orientations, and access to raw and analyzed sample characterization data. Supported measurements include macroscopic and miniature mechanical testing, laser absorptivity, composition, time-resolved synchrotron X-ray radiography, scanning electron microscopy, optical microscopy, and much more. However, several AM Bench 2022 measurements have not yet been added, such as thermography. In addition, work on AM Bench 2025 is progress, requiring substantial additions to the existing schema and data records. For example, the first of several new build approaches (laser hot wire) is being used and the build schema needs to be expanded and generalized to make future expansion easier. Lastly, we have already implemented a CDCS versioning system, but little of this is automated, making version releases highly work intensive. Further development is needed. In summary, the AM Bench measurement metadata catalog is fully operational, but work remains on completing support for the AM Bench 2022 measurements, completing development and implementation of the versioning system, and making substantial additions to the schema and data records in support of AM Bench 2025.

The work will entail:

The JHU PREP hired for this position will work with NIST AM Bench-focused staff to facilitate efficient data transfer from the measurement domain experts to the CDCS metadata repository, with updates made to the schema as needed. To assist users accessing the AM Bench data, a variety of additional query, visualization and exporter tools also need to be developed to facilitate sharing of the data. Lastly, work is needed to complete a rigorous versioning system where data and schema updates are rigorously tracked and maintained. All these systems are envisioned to be easily extended (as needed) for future iterations of AM Bench, including AM Bench 2025 which is the current primary focus.

The work will entail:

The JHU PREP hired for this position will work with NIST AM Bench-focused staff to facilitate efficient data transfer from the measurement domain experts to the CDCS metadata repository, with updates made to the schema as needed. To assist users accessing the AM Bench data, a variety of additional query, visualization and exporter tools also need to be developed to facilitate sharing of the data. Lastly, work is needed to complete a rigorous versioning system where data and schema updates are rigorously tracked and maintained. All these systems are envisioned to be easily extended (as needed) for future iterations of AM Bench, including AM Bench 2025 which is the current primary focus.

Key responsibilities will include but are not limited to:

• Continued metadata modelling

• Updating loading pipeline scripts

• Oversight of data releases

• Documentation of all changes and additions

• Development of user interface components

• Scientific background at masters level or higher in a STEM field

• Experience with AWS

• Deep experience with data modelling practices, both abstract and concrete in XML Schema and relational databases.

• Familiarity with python scripting language for automating mapping from user supplied metadata to XML

• Prior experience with the Configurable Data Curation System

Salary: $55.00-$70.00 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. Please DO NOT include telephone numbers, home address or photos on your resume.

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: Full 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