Assistant Research Scientist; PREP

PREP Research Associate

The position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST encourages research staff to collaborate with researchers at academic institutions, requiring those institutions to be recipients of a PREP award. The PREP program includes staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.

Research Title
:
Human-Centered Digital Identity Research (part-time position)

The work will involve supporting the Human-Centered Digital Identity (HCDID) research within the Human-Centered Technologies Group (https://(Use the "Apply for this Job" box below).). The HCDID research focuses on human needs, mental models, motivations, behaviors, and perceptions of security and privacy regarding identity verification using digital credentials. The candidate will work on projects to understand users' identity proving and verification needs and experiences, specifically in the context of mobile driver's licenses (mDLs) and digital wallets, working alongside world-class researchers at NIST.

U.S. Citizen preferred.

Key responsibilities will include but are not limited to:

• Design and conduct human-subject studies (experimental design, surveys, and/or interviews).
• Conduct data analysis of human-subject experiments, surveys and/or interview data using inferential statistical methods and qualitative thematic and grounded theory analysis.
• Search for, summarize, and synthesize literature relevant to HCDID, mDLs, and digital wallets.
• Write and prepare reports, research papers, and presentations.
• Present project information at internal and external meetings.

Qualifications

Minimum knowledge, skills, and abilities:

• Current Ph.D./doctoral student in a field related to HCC (e.g., computer/information science, human factors, cybersecurity) with at least two years of study completed and a minimum of one year remaining.
• Education, research, or work experience in mDLs, digital identity, and digital wallet, with relevant technical publications (peer-reviewed papers, conference proceedings, or manuscripts submitted/under review).
• Quantitative and qualitative human-subject research experience.
• Demonstrated ability to work both in teams and independently.
• Strong organizational skills.
• Strong oral and written communication skills.

Preferred knowledge, skills, and abilities:

• Experience reading, summarizing, and synthesizing research and industry reports/literature.

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 to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors.

Total Rewards
:
Johns Hopkins offers a total rewards package that supports employees' health, life, career and retirement. More information can be found at .

Equal Opportunity Employer

The National Institute of Standards and Technology is committed to equal opportunity for its faculty, staff, and students. The organization 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. It 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 or demographic characteristics that are irrelevant to the program involved.

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