Location: Oak Ridge, TN, US, 37830
Organization: Oak Ridge National Laboratory (ORNL)
Requisition ID: 15420
Date Posted: September 30, 2025
Introduction to the Role
Oak Ridge National Laboratory (ORNL) invites applications for a Postdoctoral Research Associate position within the Multiscale Methods and Dynamics (MMD) Group. This opportunity focuses on developing and analyzing computational methods for kinetic equations, with applications in gas dynamics, plasma physics, and radiation transport. The role offers access to world-class computing facilities, a travel allowance, and the chance to work in an interdisciplinary research environment.
Why This Role Matters
The MMD Group plays a central role in advancing the design and analysis of numerical algorithms that are essential for simulating complex, multi-scale systems. As part of the Computer Science and Mathematics (CSM) Division, the group contributes to ORNL’s broader mission of delivering scientific breakthroughs across energy, security, and environmental challenges. By joining this team, the postdoctoral researcher will help shape the future of applied mathematics and computational science at one of the nation’s leading research institutions.
Main Duties
The Postdoctoral Research Associate will actively collaborate with mathematicians, computer scientists, and domain experts to advance ORNL’s mission. Core responsibilities include:
- Developing and analyzing new computational methodologies tailored to large-scale scientific applications.
- Designing hybrid, structure-preserving, and machine learning-based methods for kinetic equations.
- Supporting numerical technologies for applications in gas dynamics, plasma physics, and radiation transport.
- Disseminating research findings through peer-reviewed publications, technical reports, seminars, and conferences.
- Engaging with professional organizations and contributing to the broader scientific community.
What We are Looking For
Required Qualifications
- PhD in Mathematics, Applied Mathematics, Computational Science, or a closely related field (earned within the last five years).
Preferred Background
- Expertise in one or more of the following:
- Mathematical methods for kinetic or fluid equations
- Multiscale problems and model reduction
- Machine learning frameworks applied to computational science
- Implementation of scalable numerical algorithms on HPC architectures
- Strong written and verbal communication skills.
- Ability to obtain and maintain a DOE security clearance.
Appointment Details
- Duration: Initial appointment up to 24 months, with potential extension based on performance and funding.
- Eligibility: Candidates must have earned their PhD within the past five years and complete all requirements before starting.
- Security: All hires must meet ORNL and DOE credentialing requirements, including a background investigation and compliance with federal drug testing regulations.
Benefits and Support
UT-Battelle, managing ORNL, offers a competitive package with extensive benefits, including:
- Medical, dental, vision, and prescription plans
- 401(k) retirement plan with matching and a contributory pension plan
- Paid vacation, parental leave, and holidays
- Disability and life insurance coverage
- Flexible spending and health savings accounts
- On-site amenities: fitness center, medical clinic, cafeteria, and banking
- Relocation assistance for eligible candidates
How to Apply
Applicants should prepare and submit:
- Cover letter
- Curriculum Vitae
- Research statement
- Three letters of reference
Materials may be uploaded with the application or sent to postdocrecruitment@ornl.gov with the position title and requisition ID in the subject line.
The position will remain open for a minimum of five days and will close once a qualified candidate is identified or hired.
About Oak Ridge National Laboratory
As the largest multi-program science and energy research lab within the U.S. Department of Energy, ORNL has an 80-year legacy of addressing pressing national challenges. With more than 7,000 staff, ORNL fosters a collaborative environment that values diversity and inclusion, ensuring innovative solutions to energy, environmental, and security challenges.
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