Oak Ridge National Laboratory
2 weeks ago
Postdoctoral Research Associate in Sparse Algorithms at Oak Ridge National Laboratory Oak Ridge National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two-year postdoctoral appointment with potential extension, subject to performance and availability of funding. ORNL offers competitive pay and benefits, including medical and retirement plans, flexible work hours, relocation assistance, and other employee benefits.
Country
United States
University
Oak Ridge National Laboratory
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About this position
Oak Ridge National Laboratory (ORNL) is recruiting a Postdoctoral Research Associate in sparse algorithms within the Discrete Algorithms Group. This two-year postdoctoral position focuses on advancing secure, trustworthy, and efficient AI solutions for scientific applications through the development of state-of-the-art sparse methods for matrices, tensors, and networks.
The researcher will work on large-scale numerical, scientific, and AI models using the Frontier exascale system and collaborate with experts in machine learning, optimization, electric grid analytics, and scientific imaging. The research agenda includes sparse and structured matrix computations, sparse tensor problems, sparse network problems, mixed-precision methods, GPU performance engineering, and theory of parallel algorithms.
Responsibilities include designing novel sparse algorithms, demonstrating scalability on leadership supercomputers, developing mathematical analyses of performance/energy/time trade-offs, publishing in top journals and conferences, releasing open-source software, and collaborating with domain scientists and students.
Eligibility: a PhD in Computer Science, Applied Mathematics, Computational Science, or a related field; demonstrated research depth in at least one relevant area; and hands-on experience with HPC algorithms for sparse numerical, scientific, or machine learning models. Applicants must have earned the PhD within the last five years and must complete all degree requirements before starting.
Location: Oak Ridge, Tennessee, United States.
Application: Submit materials through the ORNL jobs portal. Three letters of reference are required and may be uploaded or emailed to [email protected]. The posting notes the position will remain open for a minimum of 5 days and then close when a qualified candidate is identified and/or hired.
Funding details
Two-year postdoctoral appointment with potential extension, subject to performance and availability of funding. ORNL offers competitive pay and benefits, including medical and retirement plans, flexible work hours, relocation assistance, and other employee benefits.
What's required
Applicants must have a PhD in Computer Science, Applied Mathematics, Computational Science, or a related discipline. Candidates should demonstrate depth in at least one relevant specialization through publications, software, or comparable research output, and have hands-on experience developing and applying HPC algorithms to sparse numerical, scientific, and machine learning models. Applicants cannot have received their PhD more than five years prior to the application date and must complete all degree requirements before starting. Strong expertise in two or more preferred areas is desirable, though an exceptionally strong candidate in one area may also apply. Three letters of reference are required. Additional DOE/ORNL employment eligibility requirements apply, including background check and credentialing conditions.
How to apply
Apply through the ORNL jobs portal using the provided application link. Submit three letters of reference directly with the application or have them emailed to [email protected] with the position title and number in the subject line. Follow the document upload instructions in the candidate profile if needed.
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