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Postdoctoral Research Associate - Multiscale Methods

Date: Jun 23, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 6079 


Subject to budget considerations, the Multiscale Methods (MM) Group at Oak Ridge National Laboratory (ORNL) is seeking a qualified applicant for postdoctoral positions in several research areas, including multiscale modeling and simulations, physics-based and data-driven model reduction, iterative solvers, scalable algorithms (including mathematical software), uncertainty quantification, and optimization.  


The MM group is responsible for the design and development of basic numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation Science 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 and 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 the Laboratory’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 Ph.D. in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years
  • Demonstrated written and oral communication skills.  
  • Effective interpersonal skills. 

Preferred Qualifications:

  • Background in numerical analysis and methods development for differential and integral equations.
  • Background in linear algebra and/or iterative solvers.
  • Expertise in multiscale problems and model reduction.
  • Experience developing mathematical tools for engineering or science applications.
  • Experience in the design and implementation of scalable numerical algorithms on HPC architectures and within a team environment.
  • Experience working with modern machine learning software tools and frameworks.

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 for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.


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This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.

Nearest Major Market: Knoxville