AI for Science Researcher — Complex Systems & National Security

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking an AI researcher to lead AI for Science projects with national security implications. You will develop and evaluate modern AI methods, establish collaborations with domain experts, and publish impactful research.

Qualified candidates hold a PhD in AI/CS/related fields, are proficient in Python, and have experience with PyTorch/JAX, deep learning, and HPC environments. Security clearance eligibility is required.

Qualifications

• PhD in AI, Math, Stats, CS, or Engineering.
• Peer‑reviewed publications in relevant venues.
• Proficiency in Python and modern DL frameworks (PyTorch/JAX).

Responsibilities

• Lead AI for Science projects with national security implications.
• Develop, adapt, and evaluate AI methods including surrogate models and AI-driven discovery architectures.
• Collaborate with science and engineering domain experts and seek funding opportunities.
• Publish research in impactful venues and engage with external partners.

Skills

PhD in AI

Python

PyTorch

JAX

Deep learning

Graph nets

LLMs

HPC

Education

PhD in AI/ML

Tools

PyTorch

JAX

Docker

HPC Environments

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking an AI researcher to lead AI for Science projects with national security implications. You will develop and evaluate modern AI methods, establish collaborations with domain experts, and publish impactful research.

Qualified candidates hold a PhD in AI/CS/related fields, are proficient in Python, and have experience with PyTorch/JAX, deep learning, and HPC environments. Security clearance eligibility is required.