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Our lab is actively seeking multiple highly motivated talents to join us as Ph.D. students (fully funded), master students, undergraduate students, onsite/remote research interns (outside of UC Riverside), visiting scholars, or postdoctoral researchers.

If you are interested, please submit this application form to register your interest. Prospective students must also submit an application for a certain program on the UCR official application website before the corresponding deadline. If you are applying for a Ph.D. program in the ECE or CSE departments, please indicate Prof. Jiachen Li as your prospective advisor in the Statement of Purpose.

Research Topics (include but not limited to)

• Safe Human-Robot Interaction / Collaboration
• Multi-Agent Learning & Planning (e.g., coordination, collaboration)
• Embodied AI, Foundation Models, Vision and Language Models for Robotics and Autonomous Systems
• Safe and Interactive Autonomous Driving & Robot Navigation
• Trustworthy AI/ML (e.g., safety, robustness, generalizability, explainability, formal methods)
• Deep Reinforcement Learning & Controls
• Intelligent Transportation Systems & Smart City

Basic Requirements

Applicants are expected to be pursuing or hold a bachelor's degree or higher in Robotics, Computer Science (CS), Electrical Engineering (EE), Mechanical Engineering (ME), Mathematics, or other related STEM majors.

• Strong passion for the above research topics and desire to solve challenging research problems.
• Strong analytical and coding skills.
• Good communication skills in both written and spoken English.

Desired Skills (highly preferred but not required)

• Proficient in coding and programming (e.g., Python, C++).
• Proficient in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience in robot programming, especially with Python and C++.
• Knowledge and experience in robotics, autonomous systems, deep learning, machine learning, reinforcement learning, optimization, control, computer vision, or natural language processing.
• Prior research or project experience in robotics, autonomous systems, deep learning, machine learning, reinforcement learning, optimization, control, computer vision, or natural language processing will be highly preferred but not required. Research experiences in other areas are also highly valued.