At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Read more about AIDA: https://www.pnnl.gov/ai-and-data-analytics We are seeking a Data Scientist – AI for Radio Frequency (RF)/Remote Sensing Researcher. This role bridges foundational research and practical implementation to address cutting-edge challenges in modern communication, remote sensing, and signal processing. Help shape the future of national security and scientific discovery by applying AI/ML to some of the most challenging problems in communications, remote sensing, and signal processing. In this role, you’ll combine knowledge of RF and sensor physics with hands-on expertise in developing and deploying advanced AI/ML models. You will work at the intersection of advanced research and operational implementation to deliver mission-ready solutions. This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree