Oak Ridge National Laboratory, Applied Math Group

Position ID: ORNL-PDNOVELSCALE [#13606]
Position Title: Postdoctoral Research Associate in Novel Algorithms Development for Extreme Scale Computing
Position Type: Postdoctoral
Position Location: Oak Ridge, Tennessee 37831, United States [map]
Subject Area: Novel Algorithms Development for Extreme Scale Computing
Application Deadline: (posted 2019/02/06, listed until 2019/04/06)
Position Description:    

*** the list date or deadline for this position has passed. ***


The Computational and Applied Mathematics Group at Oak Ridge National Laboratory invites applicants for a post-doctoral research position for development of novel algorithms for extreme scale computing with applications to uncertainty quantification (UQ) for simulations of additive manufacturing. Algorithms will be implemented in the Tasmanian UQ library and multiple physics simulation codes will be used including Truchas, MEUMAPPS, and Tusas.

In particular, the application of novel algorithms to scientific discovery will require an entirely new focus on algorithmic development and mathematical rigor than what has been produced by the commercial sector. The application of novel algorithms to problems of interest to the DOE, or for scientific discovery, must leverage the large body of high-performance algorithmic development with mathematics driving advances in the following major thrusts of research:

(1) formulate novel mathematical tasks which are achievable given the type (plentiful or sparse) and form (labeled or unlabeled, static or online, deterministic or noisy) of observational data; (2) design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence in predictions on defined domains; (3) fast and scalable algorithms to fit the proposed models to data, with a theory that explains the convergence and success of these techniques; and (4) detailed re-analysis of the performance of the trained models to determine underlying processes that govern the given data.

This particular position focuses on the potential for the use and development of tools from the mathematical sciences, as opposed to traditional statistical theory or engineering tools, to support and advance the understanding of extreme scale computing technology, and to accelerate algorithmic performance on leadership computing platforms.

Major Duties and Responsibilities:

The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions. Specific responsibilities include:

Participating in the development of innovative theoretical analysis and computational methodologies for deep and/or machine learning technologies, customized to large-scale scientific applications, including: additive manufacturing; quantum material design; scientific imaging for material discovery; medical and tomographic imaging; population and evolutionary dynamics; cyber security and power grid analysis; consumer behavior and market analysis; as well as uncertainty quantification for engineered systems. Collaboration with experts from various scientific disciplines and applications, and following team planning, goals and quality processes. Authoring peer reviewed papers, technical papers, and reports. Maintaining memberships in professional, academic, and research organizations.

Basic Qualifications:

Applicants are required to have a Ph.D. either in mathematics, computer or computational science, or a closely related field. Previous experience in C++ 2011 is required.

Preferred Qualifications:

Familiarity of Python and Fortran is desired Demonstrated experience in the design and implementation of numerical algorithms in one or more high-level computing languages within a team environment. Effective interpersonal skills. Demonstrated written and oral communication skills. Technical Questions Contact Miroslav Stoyanov (stoyanovmk@ornl.gov)

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.

TO APPLY VISIT: https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-in-Novel-Algorithms-Development-for-Extreme-Scale-Computing-TN-37831/535484400/?locale=en_US

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: https://www.ornl.gov/content/research-integrity.

Benefits at ORNL: UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic and free Fitness facilities.

Relocation: Moving is stressful and expensive, and UT Battelle offers 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.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

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.

TO APPLY VISIT: https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-in-Novel-Algorithms-Development-for-Extreme-Scale-Computing-TN-37831/535484400/?locale=en_US

This employer is not accepting applications for this position through Mathjobs.Org. Please see the job description above on how to apply.
Contact: Kate Carter, 1-865-574-1293
Postal Mail:
Oak Ridge National Laboratory, Bethel Valley Rd. MS6164, Oak Ridge, TN 37831
Web Page: http://www.ornl.gov/careers

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