Kennesaw State University (KSU) in Georgia, United States, is offering fully funded PhD positions in Robotics and Artificial Intelligence through its Intelligent Dexterity (InDex) Lab. The lab, led by Dr. Lingfeng Tao, is recruiting multiple PhD students and Graduate Research Assistants to begin in Fall 2026. The InDex Lab is renowned for pioneering research in robotics, AI, and human-robot collaboration, with research areas including deep reinforcement learning, vision-language-action models, dexterous robotic manipulation, human-robot interaction, teleoperation, multi-modal perception, simulation-to-real transfer, and multi-robot coordination and planning.

KSU is one of the largest public research universities in the southeastern US, recognized for its strong engineering, computing, and technology programs. The university provides access to state-of-the-art facilities, high-performance AI training infrastructure, and a collaborative academic environment. Its proximity to Atlanta offers students unique opportunities for networking, internships, and career development.

The InDex Lab is sponsored by the National Science Foundation (NSF) and NVIDIA, reflecting its excellence and impact in robotics research. Students will have access to advanced robotics platforms, including robotic arms, dexterous hands, quadrupeds, UAVs, and mobile robots, as well as dedicated lab spaces and high-performance computing resources. Each PhD student receives a dedicated workstation with top-tier GPUs.

Financial support includes full tuition coverage and a stipend, making these positions fully funded. The lab fosters a collaborative and interdisciplinary research environment, providing strong mentorship and opportunities to work on high-impact projects that bridge theory and practice.

Ideal candidates should have a strong academic background in robotics, AI, computer science, electrical engineering, or mechanical engineering. Applicants should be passionate about robotics and intelligent systems, possess strong analytical and problem-solving skills, and have experience with programming, machine learning, or robotics platforms. Curiosity, creativity, and motivation to work in a collaborative environment are highly valued.

To apply, candidates should prepare a CV, academic transcripts, and a research statement. The application deadline for Fall 2026 admission is June 1, 2026. For more information and to view the original announcement, visit the provided links.