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Join CPIL

We welcome talented students and researchers interested in building trustworthy, efficient, and agentic AI systems for the cyber-physical world.

CPIL is actively recruiting motivated PhD students, postdoctoral researchers, visiting scholars, and research interns. The lab operates across MBZUAI, McGill University, Mila and maintains active academic and industrial collaborations.

Open roles

PhD Students

Candidates should be motivated by careful research, systems thinking, and collaborative engineering.

Postdoctoral Researchers

Candidates should be motivated by careful research, systems thinking, and collaborative engineering.

Visiting Scholars

Candidates should be motivated by careful research, systems thinking, and collaborative engineering.

Research Interns

Candidates should be motivated by careful research, systems thinking, and collaborative engineering.

Undergraduate and Master’s Research Students

Candidates should be motivated by careful research, systems thinking, and collaborative engineering.

Academic Collaborators

Candidates should be motivated by careful research, systems thinking, and collaborative engineering.

Industry Collaborators

Candidates should be motivated by careful research, systems thinking, and collaborative engineering.

How to apply

Prospective applicants are encouraged to send a concise email with the following materials.

  • CV
  • Research interests
  • Representative publications or projects
  • Homepage, GitHub, Google Scholar, or portfolio link if available
  • Desired role and expected start date
  • A short explanation of your interest in CPIL

Research interests for applicants

  • Large Language Models
  • Efficient Inference and Model Compression
  • Retrieval-Augmented Generation
  • Agentic AI and Evaluation
  • Reinforcement Learning and Alignment
  • Representation Learning
  • Diffusion Models and Black-Box Optimization
  • Federated Learning
  • Cyber-Physical Systems
  • AI for Infrastructure
  • Digital Twins and Autonomous Control
  • Trustworthy and Explainable AI
  • Wireless Networks and Intelligent Communications

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CPIL 赛博物理智能实验室

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