Postdoctoral Research Associate - HPC System Architecture and Intelligent Storage Design

Overview The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in High-Performance Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. Specific Areas Of Research Interest Telemetry collection and analysis to inform system optimization, workload characterization, and predictive fault tolerance in HPC systems. Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific computing. Redesign of storage systems to meet evolving demands in AI/ML and edge-to-HPC workflows, including support for data movement, retention policies, and user-defined storage behaviors. Major Duties And Responsibilities Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing. Conduct I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Collect, analyze, and leverage telemetry data from HPC systems to support data‑driven design decisions and performance tuning. Explore trade‑offs in DDR and HBM usage patterns, and propose architectural improvements for mixed‑memory and bandwidth‑intensive workloads. Design and evaluate user‑configurable, composable data and storage systems. Design system‑level approaches for time‑sensitive or data‑intensive processing of data originating at scientific edge systems using large‑scale HPC/AI computational and storage systems. Coauthor peer‑reviewed publications, technical reports, and presentations. Seek membership and service opportunities in professional, academic, and research organizations. Basic Qualifications A PhD in computer science/engineering or a related field with a research track record in HPC/AI/edge systems and storage research within the past five years. Preferred Qualifications Ability to work independently to design and deploy methods at scale. Familiarity with hardware-software co‑design, memory hierarchies (DDR, HBM), and system‑level telemetry tools. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks. Effective communication skills, both verbal and written. Ability to collaborate with scientists, engineers, and sponsors. Interest in mentoring student internships. Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Special Requirements HSPD‑12 PIV badge: the position requires the ability to obtain and maintain an HSPD‑12 PIV badge. About ORNL ORNL is a U.S. Department of Energy Office of Science national laboratory with an 80‑year legacy of addressing the nation’s most pressing challenges. The laboratory includes over 7,000 dedicated and innovative individuals and is committed to fostering an environment that values diverse perspectives. ORNL offers competitive pay and benefits, including medical and retirement plans, flexible work hours, on-site fitness and other amenities, as well as comprehensive health, dental, vision, 401(k), pension, life insurance, disability benefits, vacation, parental leave, legal insurance, and educational assistance. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT‑Battelle is an E‑Verify employer. #J-18808-Ljbffr