Postdoctoral Researcher: Quantum Many-Body HPC Algorithms

UT-Battelle; Oak Ridge (TN); On-site; USD 65,000 - 90,000; Full time

Job summary

UT-Battelle at Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to advance novel algorithms for scientific computing, with a focus on nonequilibrium quantum many‑body systems. The role blends applied mathematics, computational science, and high‑performance computing to develop methods and deploy them on state‑of‑the‑art HPC facilities.

Working within the Computational Chemistry and Nanomaterials Sciences group in the CSED, you will contribute to cross‑disciplinary research

Qualifications

• PhD in computational physics or a closely related field completed within the last 5 years.
• Experience with tensor networks, Monte Carlo methods, machine learning or related computational methods.
• Strong foundation in quantum mechanics, statistical modeling, and linear algebra.

Responsibilities

• Develop, implement, and benchmark novel computational methods for equilibrium and nonequilibrium quantum many-body systems.
• Contribute to scalable and efficient implementations on high-performance computing facilities.
• Collaborate with computational scientists, applied mathematicians, and computer scientists to link models with HPC.
• Prepare and present peer‑reviewed papers and represent the organization at workshops and conferences.

Skills

Tensor networks

Monte Carlo

Machine learning

Linear algebra

Quantum mechanics

Education

PhD in computational physics or related field

Tools

C++

Python

Julia

MPI/OpenMP

GPU programming

Job description

UT-Battelle at Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to advance novel algorithms for scientific computing, with a focus on nonequilibrium quantum many‑body systems. The role blends applied mathematics, computational science, and high‑performance computing to develop methods and deploy them on state‑of‑the‑art HPC facilities.

Working within the Computational Chemistry and Nanomaterials Sciences group in the CSED, you will contribute to cross‑disciplinary research