Are you eager to use artificial intelligence (AI) and data-driven methods to unlock insights from complex, high-dimensional data? Do you want to bring innovative AI to real-world challenges in domains like earth systems, materials science, biology, and advanced manufacturing? Are you pursuing studies in AI, machine learning, data science, or a related field-and looking for a role where you can push the boundaries of AI for Science in interdisciplinary and high-impact ways? If so, we'd love to meet you! We are seeking creative problem solvers with relevant technical capabilities and interests, as well as initiative, to join our team in taking on technical 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 science, 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 domains-including earth systems, materials, protein engineering, and other physical and biological systems.