Computational Plasma Scientist & ML for HPC

Princeton University; Princeton (NJ); On-site; USD 94,000 - 149,000; Full time

Job summary

Princeton Plasma Physics Laboratory (PPPL) seeks an Associate Computational Scientist to advance modeling capabilities for low-temperature plasmas. The role centers on HPC, molecular and kinetic modeling, and ML-accelerated codes to support research and design of plasma devices.

The candidate will work with LTP-PIC software, contribute to MPI/OpenMP/OpenACC frameworks, and apply Python, NumPy, and PyTorch. The position includes collaboration with academia and industry and participation in

Qualifications

• Ph.D. in Physics, Engineering or related field.
• Minimum 3 years of professional experience in an academic, scientific, or R&D environment is preferred.
• Proven track record of publishing original results in peer‑reviewed journals.

Responsibilities

• Ongoing development and maintenance of the LTP-PIC software and assisting users from academia and industry (50%).
• Defining and delivering on A.I. projects for low-temperature plasmas (20%).
• Modeling low-pressure discharges for industry partners (20%).
• Publishing scientific results and presenting at major international conferences (10%).

Skills

High-performance computing

Machine learning for science

Python (NumPy, PyTorch)

MPI

OpenMP/OpenACC

Education

Ph.D. in Physics, Engineering or related field

Tools

LTP-PIC software

Job description

Princeton Plasma Physics Laboratory (PPPL) seeks an Associate Computational Scientist to advance modeling capabilities for low-temperature plasmas. The role centers on HPC, molecular and kinetic modeling, and ML-accelerated codes to support research and design of plasma devices.

The candidate will work with LTP-PIC software, contribute to MPI/OpenMP/OpenACC frameworks, and apply Python, NumPy, and PyTorch. The position includes collaboration with academia and industry and participation in