Senior Artificial Intelligence Researcher for Scientific Discovery

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

Are you eager to use artificial intelligence (AI) to unlock insights from complex, high-dimensional data towards national security impact? Do you want to bring innovative AI to real-world challenges in domains such as materials science, biology, chemistry, and advanced manufacturing? Are you an experienced researcher using artificial intelligence (AI) to contribute to critical challenges across complex systems domains? If so, we're looking for someone like you to join our team at APL! We are looking for an AI Researcher to bring their creative problem solving talents to our teams, to lead and contribute to the research and development of innovative algorithms and prototypes for scientific discovery. The Complex Systems Group, part of the Intelligent Systems Center, conducts research at the intersection of AI and complex systems, with an emphasis on advancing capabilities in machine learning-based surrogate models, scientific automation, AI-assisted reasoning, and AI-guided design. We develop methods to drive discovery and design across scientific and engineering domains towards national security impact. This may include AI research in materials, protein engineering, chemistry, earth systems, and other physical and biological systems. As a researcher in our group, your primary responsibility will be contributing to and leading projects in AI for scientific discovery across complex systems.

Requirements

Have a PhD degree in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering.
Have published previous research in peer-reviewed journals and/or conferences.
Have 2+ years experience in one or more key technical skills, including modern AI/ML methods, deep learning, foundation models, agentic workflows, physics- or domain-informed ML, AI-driven surrogate modeling, diffusion modeling, neural operators, graph neural networks, large language models, or symbolic AI.
Have experience applying AI/ML to real-world data such as remote sensing data, materials data, omics data, or additive manufacturing related data.
Are proficient in Python and developing AI/ML software.
Have experience with relevant Python-based AI and scientific computing tools, such as PyTorch, JAX, or related libraries.
Excellent written and oral communication skills to articulate complex technical issues for a wide range of audiences
Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Nice To Haves

Have 5+ years of research experience
Have experience with containerized, cloud, High Performance Computing (HPC), or distributed computing environments.
Have background knowledge in a science or engineering discipline such as materials, chemistry, biology, or advanced manufacturing.
Are skilled in project management or leading technical teams.
Have experience writing technical proposals, particularly for government research sponsors.

Responsibilities

Contribute to projects in a variety of ways, such as designing, training, and developing machine learning (ML) algorithms, collecting and preparing data, evaluating models, and programming.
Establish collaborations with complex system domain experts and seek opportunities to propose your ideas for internal or external funding.
Establish working relationships with our Program Managers to identify opportunities to grow our work in key areas.
Publish your research in impactful venues and engage with the external research community, external collaborators, and sponsors.