Postdoctoral Research Associate - Sparse Algorithms

Requisition Id 15003 

Overview:

Oak Ridge National Laboratory is the largest US Department of Energy science and energy Laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.

The Discrete Algorithms Group at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher for a two-year position specializing in sparse algorithms. The successful candidate will contribute to advancing secure, trustworthy, and efficient AI solutions for scientific applications. Key responsibilities include developing state-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric grid analytics, and scientific imaging.

The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional opportunity to pursue an ambitious research agenda that will drastically advance the state-of-the-art in sparse computations both as a unified topic and within three broad pillars: sparse and structured matrix computations, sparse tensor problems, and sparse network problems, as well as their interconnections.  This position offers a unique opportunity to make significant theoretical and applied contributions to sparse computations, helping to advance sparse AI and numerical systems on a global scale.

Major Duties/Responsibilities:

• Designing novel sparse algorithms for large-scale numerical, scientific and AI models.

• Developing mathematical analysis to bound the trade-off between performance, energy efficiency and time especially in the context of large AI models.

• Contribute to the research and development of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments.

Basic Qualifications:

• A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline.

• Demonstrated hands-on experience and understanding of developing and applying HPC algorithms to sparse numerical, scientific and ML models.

• Demonstrated research experience with AI and ML techniques.

Preferred Qualifications:

• Knowledge of HPC matrix, tensor and graph algorithms.

• Knowledge of GPU CUDA and HIP programming

• Knowledge on distributed algorithms using MPI and other frameworks such as NCCL.

• Knowledge of high-performance computing and its applications.

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.  US citizenship is not required.

Please submit research statement and unofficial transcript when applying to this position. Kindly provide the names of three references that can attest to your research expertise and record.  Should the candidate be shortlisted they will be asked to arrange for letters of reference  be sent directly via email to postdocrecruitment@ornl.gov and mudrichcd@ornl.gov  with the position title “Postdoctoral Research Associate –Sparse Algorithms” and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

• Login to your account via jobs.ornl.gov

• View Profile

• Under the My Documents section, select Add a Document

UT-Battelle offers a generous relocation package to ease the relocation process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.

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 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.