Exascale Sparse AI Algorithms Researcher

UT-Battelle; Oak Ridge (TN); On-site; USD 65,000 - 75,000; Full time

Job summary

Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher to develop state-of-the-art sparse algorithms for large-scale numerical, scientific, and AI models. The position uses Frontier, the world’s first exascale system, and involves collaboration with experts in ML, optimization, and imaging.

The role emphasizes publications, presentations, and open-source software in addition to mentoring students and contributing to DOE mission applications.

Qualifications

• PhD completed in a relevant field with strong publication record or demonstrated software/research experience.
• Evidence of depth in at least one specialization through papers, code, or comparable work.

Responsibilities

• Design sparse algorithms for large-scale numerical, scientific, and AI models.
• Demonstrate scalability on leadership supercomputers for national-scale problems.
• Develop mathematical analyses to bound trade-offs between performance and energy efficiency.
• Communicate findings via publications and talks at top venues.

Skills

Publications

Software

Research

Education

PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline

Job description

Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher to develop state-of-the-art sparse algorithms for large-scale numerical, scientific, and AI models. The position uses Frontier, the world’s first exascale system, and involves collaboration with experts in ML, optimization, and imaging.

The role emphasizes publications, presentations, and open-source software in addition to mentoring students and contributing to DOE mission applications.