Associate Research Scientist (PREP0004940)
Research Title:
Data Scientist / Computer Scientist – Standardized AI-Ready Dataset Frameworks for AI-Based Radio Access Networks (AI-RAN)
The work will entail:
NIST seeks an experienced researcher to support the development of standardized frameworks for “AI-ready” datasets in the Radio Access Network (RAN), in support of U.S. leadership in 6G standardization. The successful candidate will survey existing wireless data repositories and relevant standards activities, participate in multi-modal measurement campaigns, and develop technical guidelines for AI-ready RAN dataset creation. The candidate is expected to convey the results of their work through a NIST Technical Note and contribute to standards bodies such as the AI-RAN Alliance, O-RAN Alliance, and 3GPP.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
- Key responsibilities will include but are not limited to: Survey existing multi-modal wireless data repositories and standards activities to assess AI-readiness and identify gaps, limitations, and potential enhancements. Support Integrated Sensing and Communication (ISAC) measurement campaigns to capture, synchronize, and label RF, LiDAR, and camera data. Develop data processing pipelines to evaluate and compare dataset formats for AI/ML applications. Co-author a NIST Technical Note on guidelines for creating standardized AI-ready RAN datasets. Develop contributions to standards bodies and industry consortia, and ensure outputs are publicly disseminated through proper NIST processes.
Qualifications:
- Required Skills, Expertise and Qualifications: Master’s or Ph.D. degree in data science, computer science, computer engineering, electrical engineering, or a closely related field. 1+ years of relevant experience in the design, collection, and processing of large-scale multi-modal datasets, preferably in wireless communications or AI/ML applications. 1+ years of relevant experience with modern data engineering tools and frameworks (e.g., Python, PyTorch/TensorFlow, MATLAB, or similar) to enable data acquisition, storage, labeling, and analysis. Familiarity with wireless communications systems, including RF signal processing concepts such as I/Q samples, channel state information (CSI), and power delay profiles.
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: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
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