2027 BS/MS - Artificial Intelligence and Complex Systems

Description Are you eager to use artificial intelligence (AI) to unlock insights from complex systems 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, or a related field and looking for a role where you can bring your expertise, initiative, and innovation to AI for Science in interdisciplinary and high-impact ways? If so, we’d love to meet you!

We are seeking creative problem solvers with a variety of capabilities and interests, as well as demonstrated initiative, to join our team. 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, AI-guided design, and emerging foundation model capabilities such as large language models, retrieval-augmented generation (RAG), and agentic AI systems. We develop methods to drive discovery and design across scientific and engineering domains toward national security impact. This includes AI “co‑investigator” approaches that integrate LLMs with simulation tools, domain knowledge, and complex data to support hypothesis generation, experiment design, and result interpretation. This may include AI research in materials, protein engineering, chemistry, earth systems, and other physical and biological systems.

As a member of our research team, you will contribute to projects in a variety of ways, such as designing, training, and developing machine learning (ML) algorithms, collecting and preparing data, evaluating models, programming, developing tool-using and multi-step agentic workflows, and prototyping AI co‑investigator capabilities for scientific discovery. We are committed to developin