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 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.

Research

Title:

Optimizing NIST AI enabled data discovery and accessibility

The work will entail developing AI enabled tools which can enhance the user experience to search domain specific data. After initial understating current Public data repository (PDR) system, APIs, metadata and data, researcher will determine the appropriate AI technology to be applied. Research will work with NIST staff to create AI embeddings which will enhance the search experiences by improving semantic and similarity searches.

It can also be used to improve natural language processing and recommendations in our current system.

• Learn and understand PDR system functionality
• Determine various AI techniques which we can use to improve search experience
• Perform systematic analysis of AI embeddings, MCP and RAGs application
• Incorporate optimized methods of new AI techniques in PDR system
• Demonstrate search optimization and effectiveness of AI integration
• Regular code updates, deliver code repo along with documentation
• Attend regular meetings with NIST

• A Master’s degree in Computer Science, Engineering, Manufacturing, or a related field
• 2-3 years of relevant experience
• Familiarity with Dev Ops and CICD pipelines
• Ability to work with real-time event data at scale
• Familiarity with multiple scripting languages
• Ability to develop prototypes of tools
• Strong oral and written communication skills

Please upload the following with your application:

• CV/Resume (limit CV to 3 pages and include a valid email address)
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
• Privacy Act Statement

Additional disclosures include: information about Authority, Purpose, Routine Uses, and Disclosure as described in the original posting. To apply for this position, visit:

• 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 based on location, skills, experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
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EEO information and diversity resources are available as part of the posting. Vaccine requirements and related provisions may apply depending on campus; follow campus guidance. Details about these provisions are provided in the original posting.