Oak Ridge National Laboratory
Postdoctoral Research Associate
Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States, 37830
Overview
The Data and AI Systems Research Section/Workflow Systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and artificial intelligence to enhance capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources, including the Frontier supercomputer, the world’s first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. Requisition Id 15447 Responsibilities
Design and implement system software to enable AI-readiness for scientific data by developing adaptive techniques capable of maintaining relationships between data and metadata. Collaborate on innovative solutions to automate and optimize the interplay between large scientific simulations, data ingestion, and AI processes (e.g., model training, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows. Investigate strategies to balance performance and resilience across heterogeneous computational resources while addressing workflow requirements for scientific applications. Validate distributed intelligence algorithms at scale on ORNL’s computational resources, including the Frontier supercomputer. Communicate and coordinate experimental results with other domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications
A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last five years. An excellent record of productive and creative research as demonstrated by publications in top peer-reviewed journals and conferences. Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem-solving and communication skills, with the ability to work collaboratively in a team setting. Preferred Qualifications
Experience with AI-readiness pipelines, particularly in integrating scientific data with AI workflows. Familiarity with concepts like metadata management, parameter space coverage, or agentic AI. Prior exposure to DOE workflows or national laboratory environments. Motivated self-starter with the ability to work independently and to participate creatively in collaborative and frequently interacting teams of researchers. Special Requirements
Applicants cannot have received their Ph.D. 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. Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to Postdocrecruitment@ornl.gov with the position title and number referenced in the subject line. How to apply / Instructions
Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My Documents section, select Add a Document Security, Credentialing, and Eligibility Requirements
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. ORNL also adheres to Department of Energy (DOE) access restrictions. All employees must be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by HSPD-12 and DOE Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This remains applicable regardless of state law. For foreign national candidates: if you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and will require a favorable Local Site Specific Only (LSSO) risk determination. Once you meet the residency requirement, a PIV credential will be required. About ORNL
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an 80-year legacy of addressing the nation’s challenges. Our team includes over 7,000 individuals. We value diverse perspectives and backgrounds to support scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges. ORNL offers competitive pay and benefits, including medical and retirement plans, flexible work hours, and employee amenities. We also provide a range of benefits such as health plans, 401(k), life insurance, disability benefits, and more. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov 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. Note: This description has been refined for clarity and formatting; it preserves the original content and intent.
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The Data and AI Systems Research Section/Workflow Systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and artificial intelligence to enhance capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources, including the Frontier supercomputer, the world’s first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. Requisition Id 15447 Responsibilities
Design and implement system software to enable AI-readiness for scientific data by developing adaptive techniques capable of maintaining relationships between data and metadata. Collaborate on innovative solutions to automate and optimize the interplay between large scientific simulations, data ingestion, and AI processes (e.g., model training, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows. Investigate strategies to balance performance and resilience across heterogeneous computational resources while addressing workflow requirements for scientific applications. Validate distributed intelligence algorithms at scale on ORNL’s computational resources, including the Frontier supercomputer. Communicate and coordinate experimental results with other domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications
A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last five years. An excellent record of productive and creative research as demonstrated by publications in top peer-reviewed journals and conferences. Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem-solving and communication skills, with the ability to work collaboratively in a team setting. Preferred Qualifications
Experience with AI-readiness pipelines, particularly in integrating scientific data with AI workflows. Familiarity with concepts like metadata management, parameter space coverage, or agentic AI. Prior exposure to DOE workflows or national laboratory environments. Motivated self-starter with the ability to work independently and to participate creatively in collaborative and frequently interacting teams of researchers. Special Requirements
Applicants cannot have received their Ph.D. 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. Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to Postdocrecruitment@ornl.gov with the position title and number referenced in the subject line. How to apply / Instructions
Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My Documents section, select Add a Document Security, Credentialing, and Eligibility Requirements
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. ORNL also adheres to Department of Energy (DOE) access restrictions. All employees must be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by HSPD-12 and DOE Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This remains applicable regardless of state law. For foreign national candidates: if you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and will require a favorable Local Site Specific Only (LSSO) risk determination. Once you meet the residency requirement, a PIV credential will be required. About ORNL
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an 80-year legacy of addressing the nation’s challenges. Our team includes over 7,000 individuals. We value diverse perspectives and backgrounds to support scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges. ORNL offers competitive pay and benefits, including medical and retirement plans, flexible work hours, and employee amenities. We also provide a range of benefits such as health plans, 401(k), life insurance, disability benefits, and more. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov 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. Note: This description has been refined for clarity and formatting; it preserves the original content and intent.
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