Core Insights - The article highlights the recruitment of graduate students for the Robotics Cognition and Learning (RCL) lab led by Dr. Xingxing Zuo at MBZUAI, focusing on various advanced fields in robotics and artificial intelligence [1][2]. Recruitment Focus - The lab is looking for candidates in areas such as Robotics, 3D Computer Vision, Mixed Reality, State Estimation, Learning-based Visual-Inertial SLAM, Multi-sensor Fusion, Reinforcement Learning, VLN/VLA, Humanoid-Object Interaction, and Embodied AI [2]. Admission Requirements - Candidates should have a strong interest in robotics or AI, a solid mathematical foundation, programming skills, self-management, motivation, innovation, and a rigorous research attitude. PhD applicants are expected to have published in top-tier journals as primary authors, while experience in robotics competitions is a plus [3]. Benefits and Compensation - PhD students receive a scholarship of approximately 420,000 RMB per year, tax-free, along with free round-trip airfare, ample GPU computing resources, and sufficient hardware resources for robotics and sensors [3]. Hardware Acquisition - The RCL lab has ordered various robotics hardware, with some already in use and the majority expected to arrive by November 2025 [4]. Application Deadlines - For Fall 2026 admissions, the application system opens on September 1, 2025, with an early deadline of November 15 and a late deadline of December 15. Applications for visiting researchers and domestic interns can be submitted year-round [6]. Application Process - Interested candidates must send an English resume, transcripts, and representative papers to Dr. Zuo's email, and also submit complete application materials through the official university application system [7]. Institutional Background - MBZUAI is recognized as the world's first university dedicated to artificial intelligence, recently admitting 115 undergraduate students with an acceptance rate of approximately 5% [9].
MBZUAI 机器人实验室招收2026 Fall 全奖博士生/访问研究生等
具身智能之心·2025-09-23 00:03