Postdoc: Quantum Many-Body Computation & HPC Researcher

UT-Battelle; Oak Ridge (TN); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Relocation Assistance

Educational Assistance

Flexible Spending Accounts

Job summary

UT-Battelle’s Oak Ridge National Laboratory invites applications for a Postdoctoral Research Associate to develop novel algorithms for nonequilibrium quantum many-body systems, integrating applied mathematics, computational science, and high-performance computing.

The role emphasizes collaboration with computational scientists, publication of results, and the deployment of scalable HPC implementations to advance quantum simulations and scientific discovery.

Qualifications

• Ph.D. in computational physics or a related discipline completed within the past five years.
• Experience with tensor networks, Monte Carlo, machine learning or related areas.
• Proficiency in quantum mechanics, statistical modeling, and linear algebra.

Responsibilities

• Develop, implement, benchmark, and advance novel computational methods for equilibrium and nonequilibrium quantum many-body systems.
• Contribute to scalable and efficient implementations of these algorithms for state-of-the-art high performance computing facilities.
• Collaborate within a multi-disciplinary research environment linking models and algorithms with high-performance computing.
• Author peer-reviewed papers and present results 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

GPU programming

Job description

UT-Battelle’s Oak Ridge National Laboratory invites applications for a Postdoctoral Research Associate to develop novel algorithms for nonequilibrium quantum many-body systems, integrating applied mathematics, computational science, and high-performance computing.

The role emphasizes collaboration with computational scientists, publication of results, and the deployment of scalable HPC implementations to advance quantum simulations and scientific discovery.