Computational Plasma Scientist (HPC & ML)

University of Georgia- FACS; Princeton (NJ); Hybrid; USD 96,000 - 153,000; Full time

Job summary

The Princeton Plasma Physics Laboratory (PPPL) seeks an Associate Computational Scientist to advance modeling of low-temperature plasmas and related technologies. The role centers on HPC-based simulations, novel algorithms, and ML-driven code acceleration, including surrogate models.

You will maintain the LTP-PIC software, work with MPI/OpenMP/OpenACC, and apply kinetic modeling to magnetron and capacitively coupled discharges.

Qualifications

• Ph.D. in Physics, Engineering or related field with HPC training.
• Min. 3 years of experience in an academic, scientific, or R&D environment preferred.
• Proven track record of publishing results in peer‑reviewed journals.
• Proven track record of developing high‑performance codes.
• Collaborative experience with academia and industry.

Responsibilities

• Maintain and develop the LTP-PIC software and support users (academic and industry).
• Define and deliver AI projects for low-temperature plasmas.
• Model low-pressure discharges for industry partners.
• Publish results and present at major international conferences.

Skills

HPC programming

OpenMP/OpenACC

MPI

Python

NumPy

PyTorch

Machine learning

Particle-in-cell

LTP-PIC software

Education

Ph.D. in Physics or Engineering

Tools

OpenMP

OpenACC

MPI

LTP-PIC software

Python

Job description

The Princeton Plasma Physics Laboratory (PPPL) seeks an Associate Computational Scientist to advance modeling of low-temperature plasmas and related technologies. The role centers on HPC-based simulations, novel algorithms, and ML-driven code acceleration, including surrogate models.

You will maintain the LTP-PIC software, work with MPI/OpenMP/OpenACC, and apply kinetic modeling to magnetron and capacitively coupled discharges.