Postdoctoral Research Associate - Computational Methods Kinetic Equations

Postdoctoral Research Associate - Computational Methods for Kinetic Equations

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The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work in applications related to gas dynamics, plasma physics, and radiation transport.

The position comes with a travel allowance and access to advanced computing resources.

The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering.

The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s mission.

• Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications
• Delivery and support of mathematical technologies for various scientific disciplines and applications
• Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations
• Active participation in professional organizations

• A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years

• Experience in one or more of the following areas:
• Mathematical methods for kinetic and/or fluid equations
• Multiscale problems and model reduction
• Modern machine learning software tools and frameworks
• Implementation of scalable numerical algorithms on HPC architectures

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.

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.

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 instead will need to obtain a favorable Local…