2027 PhD Graduate - Artificial Intelligence and Complex Systems

Johns Hopkins Applied Physics Laboratory; Laurel (MD); Híbrido; USD 105.000 - 245.000; Jornada completa

Descripción de la vacante

Johns Hopkins Applied Physics Laboratory (APL) seeks an AI researcher to advance AI for Science in interdisciplinary teams. You will develop modern AI/ML methods, surrogate models, and AI-driven discovery architectures for materials science, chemistry, biology, and related domains with national security implications.

Collaboration with domain experts, publishing in top venues, and engagement with sponsors are key responsibilities.

Formación

• PhD in AI, ML, or related field with strong publication record.
• Experience with modern AI/ML methods and architectures.
• Proficiency in Python and deep learning frameworks (PyTorch/JAX).
• Experience with containerized/cloud/HPC environments and distributed computing.
• Ability to obtain Interim Secret clearance and ultimately Top Secret clearance.

Responsabilidades

• Lead AI for Science projects with national security implications.
• Develop and evaluate AI methods incl. surrogate models and AI-driven discovery architectures.
• Collaborate with science/engineering domain experts and program managers.
• Publish research and engage with external researchers and sponsors.

Conocimientos

AI/ML methods

Python (PyTorch/JAX)

Distributed computing/HPC

Educación

PhD in AI/ML or related field

Herramientas

PyTorch

JAX

Descripción del empleo

Description

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 pursuing studies in AI, machine learning (ML), or a related field, and looking for a role where you can push the boundaries of AI for Science in interdisciplinary, high-impact ways?

If so, we’d love to meet you! We are seeking a creative problem solver with strong technical capabilities and initiative to join our team in taking on challenges in complex systems. The Complex Systems Group, part of the Intelligent Systems Center (www.jhuapl.edu/isc), 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 science, microbiology, chemistry, earth systems, and other physical and biological systems.

As an AI researcher in our group, your primary responsibility will be contributing to and leading AI for Science projects with national security implications. As a member of our research team, you will contribute to AI for Science projects by creating, adapting, and evaluating modern AI methods including machine learning models, frontier AI systems, agentic workflows, physics- and domain-informed learning, AI-driven surrogate models, and closed-loop discovery architectures for scientific and engineering problems. You will establish collaborations with science and engineering domain experts and seek opportunities to propose your ideas for funding. You will also establish working relationships with our Program Managers to identify opportunities to grow our work in key areas for our sponsors. You will publish your research in impactful venues and engage with the external research community, external collaborators, and sponsors.

Qualifications

• 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 experience in one or more key technical skills, including modern AI/ML methods, deep learning, foundation models, statistical modeling, agentic workflows, physics- or domain-informed ML, AI-driven surrogate modeling, diffusion modeling, neural operators, graph neural networks, large language models, or symbolic AI.
• Are proficient in Python programming and have experience developing AI/ML methods using a modern deep learning framework (e.g., PyTorch, JAX).
• Have experience with containerized, cloud, High Performance Computing (HPC), or distributed computing environments.
• 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.

You'll go above and beyond our minimum requirements if you...

• Have background knowledge and demonstrated experience in a science or engineering discipline such as materials science, microbiology, chemistry, earth systems, and other physical and biological systems.
• Are skilled in project management and/or leading technical teams.
• Have experience writing technical proposals, particularly for government research sponsors.
• Have experience applying AI/ML to real-world problems involving remote sensing, molecular, chemical, materials, protein engineering, omics, additive manufacturing, and other scientific data modalities.

About Us

The Johns Hopkins University Applied Physics Laboratory (APL) brings world‑class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

Why Work at APL?

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore‑Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [e-mail].

APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short‑term disability, long‑term disability, flexible spending accounts, education assistance, and training and development.

Applications are accepted on a rolling basis.

Minimum Rate: $105,000 Annually

Maximum Rate: $245,000 Annually