The SciPhy ("sci-fi") Lab at Johns Hopkins University, led by Assistant Professor Krishna Murthy Jatavallabhula, is recruiting multiple PhD students for Fall 2026. The lab focuses on the science of physical agents, particularly robotics, and aims to explore the full robotics stack, from hardware and controller design to advanced AI algorithms. Research themes include 3D perception, SLAM/state estimation, differentiable simulation, vision-language 3D mapping, vision-language-action (VLA) policies, world models, and tactile sensing. Prospective students will join a vibrant and growing robotics and AI community at Johns Hopkins, supported by the Data Science and AI Institute (DSAI). The lab encourages applicants with backgrounds in robotics, artificial intelligence, computer science, or related fields, especially those with experience in the lab's research areas. The PhD program is highly competitive and requires submission of academic transcripts, letters of recommendation, a statement of purpose, and proof of English proficiency for non-native speakers. PhD positions at Johns Hopkins University are typically fully funded, covering tuition and providing a stipend. For more details on funding and the application process, applicants are encouraged to visit the SciPhy lab webpage and the university's Computer Science PhD admissions page. The application deadline is December 15, 2025. Interested candidates should apply through the Computer Science PhD admissions portal at Johns Hopkins University and indicate their interest in working with the SciPhy Lab. For more information, visit the lab's website or contact the lab directly through the provided links.

The SciPhy Lab at Johns Hopkins University, led by Assistant Professor Krishna Murthy Jatavallabhula, is recruiting multiple PhD students for Fall 2026. The lab focuses on the science of physical agents, with research spanning the full robotics stack—from hardware and controller design to advanced AI algorithms. Research themes include 3D perception, SLAM/state estimation, differentiable simulation, vision-language 3D mapping, vision-language-action (VLA) policies, world models, and tactile sensing. Prospective students will join a vibrant robotics and AI community at Johns Hopkins, with opportunities to collaborate with the Data Science and AI Institute (DSAI) and other new faculty. The lab is particularly interested in candidates with backgrounds in robotics, computer science, hardware design, AI, and related areas. Applicants should be passionate about advancing the science of physical intelligence and eager to work on interdisciplinary projects that bridge hardware and software in robotics. PhD positions are typically fully funded, covering tuition and providing a stipend. The application deadline is December 15, 2024, and candidates should apply via the Computer Science PhD admissions portal at Johns Hopkins University. For more information about the lab and the application process, visit the SciPhy Lab webpage or the DSAI Institute site. Join the SciPhy Lab to contribute to cutting-edge research in robotics and AI at one of the leading institutions in the United States.

<p>The SciPhy Lab at Johns Hopkins University, led by incoming Assistant Professor Krishna Murthy Jatavallabhula, is recruiting multiple PhD students for Fall 2026. The lab focuses on the science of physical agents, with research spanning the full stack of robotics—from hardware and controller design to AI algorithms and physical intelligence. Applicants will have the opportunity to work on cutting-edge topics such as 3D perception, SLAM/state estimation, differentiable simulation, vision-language 3D mapping, vision-language-action policies, world models, and tactile sensing.</p><p>Johns Hopkins University is a leading institution in robotics and AI, with the new Data Science and AI Institute (DSAI) supporting a growing community of researchers. The SciPhy Lab offers a collaborative environment for students interested in advancing the science and engineering of intelligent robots. The lab encourages applicants with backgrounds in robotics, computer science, AI, and related fields, especially those with experience in hardware, controls, and machine learning for robotics.</p><p>PhD positions are typically fully funded, including tuition and a stipend, though applicants should consult the lab and university websites for specific details. The application deadline is December 15, 2024, and candidates should apply via the Computer Science PhD admissions portal at Johns Hopkins University. For more information about the lab and its research, visit the SciPhy Lab webpage.</p>