join us

We welcome students and collaborators with diverse backgrounds, including computer science, robotics, mathematics, physics, and engineering.

How to Apply

Please send an email with:

  1. A brief introduction of yourself;
  2. Your CV;
  3. Your research interests;
  4. Relevant publications or projects (if available).

Email: yifei.j.shi@gmail.com or shiyifei12@nudt.edu.cn

We are always looking for talented and motivated individuals to join our research journey.

Research Directions

Our current research focuses on three interconnected areas:

1. Embodied AI and Robot Learning

We study how robots can acquire generalizable manipulation skills through perception, reasoning, and interaction.

Topics include:

  • Dexterous robotic manipulation
  • Task-oriented grasp generation
  • Human-centered robot learning
  • Adaptive robot intelligence

2. World Models for Physical Intelligence

We investigate how AI systems can learn predictive models of the physical world to enable imagination, planning, and control.

Topics include:

  • Physics-informed world models
  • Predictive modeling of dynamic environments
  • Robot simulation and interaction
  • Learning-based control

3. AI for Science

We explore how artificial intelligence can accelerate scientific discovery by combining data-driven learning with physical principles.

Topics include:

  • Scientific foundation models
  • Physics-informed learning
  • AI-driven material design
  • Intelligent scientific discovery

Graduate Students

We welcome applications from highly motivated graduate students interested in pursuing research in intelligent systems.

Ideal candidates may have backgrounds in:

  • Computer Science
  • Artificial Intelligence
  • Robotics
  • Computer Vision
  • Mathematics
  • Physics
  • Mechanical Engineering

Prior experience in machine learning, deep learning, robotics, computer vision, or scientific computing is highly desirable.

Undergraduate Students

We encourage undergraduate students with strong interests in AI and robotics to participate in research projects.

Students can gain experience in:

  • Developing AI algorithms
  • Implementing robotic systems
  • Conducting scientific experiments
  • Writing research papers

Visiting Students and Research Collaborators

We are open to collaboration with researchers and students who share common interests in:

  • Embodied intelligence
  • Robot learning
  • Physical AI
  • AI for Science

If you are interested in visiting our group or exploring potential collaborations, please feel free to contact me.