Assistant Research Scientist; PREP

Overview

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 collaborate with researchers at academic institutions on specific projects of mutual interest, and requires that such institutions 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.
Research title: Contributions to voluntary consensus standards on artificial intelligence.
The work will entail: Supporting the NIST artificial intelligence research and evaluation programs in contributing to standards developing organizations (SDOs).

• 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.

• 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.

• Please upload the following with your application:
• CV/Resume (limit to 3 pages and include a valid email address for contact information)
• 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:
  
  Description of the PREP program and its disciplines
• Routine Uses: NIST will use the information to review applications and meet program requirements
• Disclosure:
  Furnishing this information is voluntary
• To apply for this position, proceed to the application site and provide the requested materials

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University’s good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will depend on multiple factors, including geographic location, skills, work experience, internal equity, market conditions, education/training, and other factors as determined by the University.

Total Rewards

Johns Hopkins offers a total rewards package that supports our employees’ health, life, career and retirement. More information can be found in the Johns Hopkins benefits section.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. The university 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. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

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