Postdoc: Quantum Many-Body Algorithms on HPC

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 60,000 - 82,000; Full time

Benefits offered by this job

Medical plan

Retirement plan

Flexible work hours

Job summary

Oak Ridge National Laboratory (ORNL) seeks a Postdoctoral Research Associate to join a large team developing novel algorithms for scientific computing focused on nonequilibrium quantum many‑body systems. The role spans applied mathematics, computational science, and HPC, aiming to deploy advanced methods on leadership compute facilities.

The candidate will collaborate across computational chemistry, nanomaterials sciences, and interdisciplinary researchers, contributing to high‑impact research

Qualifications

• Ph.D. in computational physics or related field within the past 5 years.
• Experience with tensor networks, Monte Carlo, or related areas.
• Strong background in quantum mechanics and linear algebra.

Responsibilities

• Develop, implement, benchmark, and advance novel computational methods for equilibrium and nonequilibrium quantum many‑body systems.
• Contribute to scalable implementations for state‑of‑the‑art HPC facilities.
• Collaborate with multidisciplinary teams to link models with high‑performance computing.
• Publish peer‑reviewed papers and present at workshops and conferences.

Skills

Tensor networks

Monte Carlo

Machine learning

Quantum mechanics

Linear algebra

Education

Ph.D. in computational physics or related field

Tools

C++

Python

Julia

MPI

OpenMP

CUDA

Job description

Oak Ridge National Laboratory (ORNL) seeks a Postdoctoral Research Associate to join a large team developing novel algorithms for scientific computing focused on nonequilibrium quantum many‑body systems. The role spans applied mathematics, computational science, and HPC, aiming to deploy advanced methods on leadership compute facilities.

The candidate will collaborate across computational chemistry, nanomaterials sciences, and interdisciplinary researchers, contributing to high‑impact research