Description

PREP Research Associate

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves 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:

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:
• 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
• 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.
• Strong oral and written communication skills, with the ability to contribute to technical reports and standards documents.

Additional Desirable Skills, Expertise and Qualifications:

• Experience with multi-modal sensing systems, including LiDAR, camera, and radar data collection and synchronization.
• Familiarity with the Findable Accessible Interoperable and Reusable (FAIR) data principles, public data repositories, data schemas, versioning, and open dataset documentation practices.
• Experience with GPU-accelerated hardware platforms and software engineering including NVIDIA GPUs and CuPy/CUDA/C++ programming.
• Familiarity with 5G/6G wireless standards and AI/ML integration frameworks being developed by 3GPP, O-RAN Alliance, or the AI-RAN Alliance.
• Experience with Integrated Sensing and Communication (ISAC) use cases such as object detection, human detection, or drone tracking. Experience in authoring research publications and presentations documenting results of experiments, modeling, and analysis research.

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
• Privacy Act Statement