Join Us

Research directions

We pursue the four pillars of REAL: Reasoning, Embodied, Agentic, and Lifelong-learning AI, toward AI that thinks, acts, and grows in the real world.

• Reasoning: reinforcement learning for reasoning, reward modeling, efficient and multimodal reasoning, so that large models can think and decide as deeply as (or beyond) humans.
• Embodied AI: spatial intelligence, embodied reasoning, and world models, closing the perception, reasoning, and action loop in physical and simulated environments.
• Agentic AI: autonomous planning, tool use, memory, and collaboration, applied to deep research agents, code agents, computer-using agents, and embodied agents that accomplish complex real-world tasks.
• Lifelong-learning AI: models and agents that learn continuously from exploration, feedback, imitation and reflection, accumulating experience and self-evolving across new tasks and environments throughout their lifetime.

What we offer

• Master's and PhD admission quotas in the School of Software Technology, the School of Artificial Intelligence, and the College of Computer Science and Technology.
• Year-round undergraduate research internships, with systematic training in research skills and academic innovation.
• Short-term academic visits and collaborations for outstanding master's / PhD students from other institutions.
• Active partnerships with Alibaba, Tencent, and other leading companies, providing rich industry internship opportunities.

What we look for

• Strong execution, clear communication, solid coding ability, and good English reading and writing.
• Genuine interest in large models / AI research and self-driven learning at the frontier.
• Willingness to put in the hard work research demands, and a drive toward breakthrough results.
• Prior research / project experience, LLM background, or co-first-author high-impact publications are a plus.