PhD Positions in Human-Centered Embodied AI, Robotics, and Machine Learning at Johns Hopkins University Johns Hopkins University in United States

The Alliance AI Lab at Johns Hopkins University's Department of Computer Science is recruiting multiple PhD students for research in human-centered embodied AI systems. The lab, led by incoming Assistant Professor Haimin Hu, focuses on advancing the algorithmic foundations of robotics, machine learning, human-robot interaction (HRI), and AI safety. Research topics include safe human-AI co-evolution, uncertainty-aware motion planning, human-compatible assured autonomy, and scalable game-theoretic decision-making for multi-robot systems. The lab works on both fundamental and applied problems, aiming to create reliable robot allies and autonomous systems that interact safely and efficiently with humans. PhD students will receive comprehensive training, collaborate with faculty on cutting-edge research, and be matched with advisors based on mutual interests. All admitted PhD students are fully funded, with support covering tuition and an annual stipend through fellowships and assistantships. Applicants should have a strong background in computer science, robotics, or related fields, and demonstrate skills in programming, mathematics, and machine learning. The application deadline for Fall 2025 admission is December 15, 2024. Interested candidates should apply online and may contact Haimin Hu for further information. The program prepares graduates for careers in academia, research, industry, and government.