Share this Job

Postdoctoral Research Associate - Multiscale Methods

Date: Feb 21, 2021

Location: Oak Ridge, TN, US, 37831

Company: Oak Ridge National Laboratory

Requisition Id 4343 



Subject to budget considerations, the Mathematics in Computing Section is seeking qualified applicants for postdoctoral positions in several areas of research, including multiscale modeling and simulations, model reduction, iterative solvers, scalable algorithms (including mathematical software), uncertainty quantification, and optimization. 

Major Duties and Responsibilities


The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists (both theoretical and experimental) 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


•    Ph.D. in Mathematics, Computational Science, Engineering, Physics, or a field relevant to the job duties of this position.  
•    Demonstrated written and oral communication skills.  
•    Effective interpersonal skills. 


Preferred Qualifications


One or more of the following:  
•    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.

Technical Questions?  Contact Cory Hauck ( Please reference the position title and number when corresponding about this position.


Additional Information

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. (Important to add eligibility requirements on citizenship/visa).


Benefits at ORNL


UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan.




 The appointment comes with a wide range of relocation benefits for individuals and families to make it easier to come and work here. If you are invited to interview, please ask your Recruiter about relocating with ORNL. 


ORNL Ethics and Conduct


  As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here:



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