Postdoctoral Research Associate - Computational Fluid Dynamics

Postdoctoral Research Associate - Computational Fluid Dynamics

The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. 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.

Major Duties/Responsibilities:

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.

Specific responsibilities include:

• 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

Basic Qualifications:

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

Preferred Qualifications:

• Experience in one more of the following areas:
  • Mathematical methods for computational fluid dynamics (CFD)
  • Finite elements methods
  • Modern machine learning software tools and frameworks
  • Implementation of scalable numerical algorithms on HPC architectures
• Excellent written and verbal communication and interpersonal skills.
• The ability to obtain and maintain a DOE Security Clearance

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.

Instructions to Apply:

Please submit a cover letter, curriculum vitae, research statement, and three letters of reference when applying to this position. You may upload these documents directly to your application or have them sent to postdoc recruitment with the position title and number referenced in the subject line. For full consideration, please submit materials by November 1, 2025
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About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment.

These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being…