Postdoctoral Research Associate - Algorithm Development Scientific Computing
Listed on 2026-08-30
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Research/Development
Data Scientist, Research Scientist
Requisition .
OverviewWe are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art high-performance computing facilities.
There is significant potential for high-impact research contributions at the forefront of computational quantum many-body physics.
This position resides within the Computational Chemistry and Nanomaterials Sciences group in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems.
It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes.
- Develop, implement, benchmark, and advance novel computational methods for equilibrium and nonequilibrium quantum many-body systems.
- Contribute to the development of scalable and efficient implementations of these algorithms for state-of-the-art high performance computing facilities.
- Collaborate within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing.
- Author peer reviewed papers for internal and external release as well as represent the organization via technical presentations in workshops and conferences.
- Ph.D. in computational physics or a field relevant to the job duties such as physics, mathematics, computer science, or engineering within the past 5 years.
- Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field
- Proficiency in quantum mechanics, statistical modeling, and linear algebra
- Experience with density matrix renormalization group and tensor network algorithm development and application.
- Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems.
- Experience in parallel programming with one or more common parallel programming models, like MPI or OpenMP.
- Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes.
- Experience with using high performance computing for lattice model simulations.
- Experience working in a multi-disciplinary research environment.
- Demonstrated written and oral communication skills, a proven publication record, and effective interpersonal skills.
- Postdocs:
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. - This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (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 investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.
About ORNLAs a U.S. Department of Energy (DOE)…
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