Assistant Research Scientist (PREP0003709) Full-time

Assistant Research Scientist

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.

Contributions to voluntary consensus standards on artificial intelligence

The work will entail:

• Identifying SDO projects, committees, or calls for input to which NIST experts should contribute.
• Crafting NIST written contributions to those projects, committees, or calls for input.
• Distributing SDO materials and potential NIST contributions to other NIST experts for input and review.
• Submitting NIST contributions in a timely fashion.
• Attending SDO committee meetings, including international meetings, to discuss contributions from NIST, other U.S. contributors, and international contributors.

Sharing information about contributions and standards activities with interested NIST experts. If applicable, acting as an editor or in another leadership capacity for standards projects.

Qualifications:

A Master's degree in Computer Science or a related field, OR a Bachelor's degree in such a field and professional experience equivalent to a Master's degree in such a field. Familiarity with machine learning methods, including hands-on implementation experience with at least two machine learning-driven systems. Familiarity with AI governance guidelines such as the NIST AI Risk Management Framework. Strong oral and written communication skills, including both envisioning structure and content for nascent documents and line editing mature documents for technical precision and readability.