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: The researcher will participate in developing AI enabled tools which can enhance the user experience to search domain specific data. After initial understanding 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.
Key responsibilities will include but are not limited to:
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.
Qualifications:
Application Instructions: 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. Your resume will not be considered if the following information is included on your CV/resume. Self portraits, Phone number, Home address/Country, Citizenship status, Languages spoken, Sex/Gender.
Tagged as: Life Sciences
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