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Hongliang Ren

Top university

2 weeks ago

PhD Openings in Embodied AI, Medical Robotics, and Multimodal Perception at The Chinese University of Hong Kong The Chinese University of Hong Kong in Hong Kong

Degree Level

PhD

Field of study

Computer Science

Funding

No explicit funding details are provided in the post. It is implied that these are PhD/RA positions, which are typically funded, but no information on stipend, tuition coverage, or funding type is mentioned.

Country flag

Country

Hong Kong

University

The Chinese University of Hong Kong (CUHK)

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Where to contact

Official Email

Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Electrical Engineering
Robotics
Multimodal Analysis
Mechatronics
Medical Robotic

About this position

Multiple PhD and Research Assistant positions are available at The Chinese University of Hong Kong (CUHK) in the areas of Embodied AI, Medical Robotics, Medical Image Guided Procedures, and Multimodal Perception & Applications. The research focuses on cutting-edge topics such as Embodied AI-assisted endoscopic diagnosis, biorobotics and intelligent systems, multisensory perception, AI learning and control in image-guided procedures, medical mechatronics, continuum and soft flexible robots and sensors, deployable motion generation, compliance modulation/sensing, and cooperative and context-aware flexible/soft sensors/actuators in human environments.

Successful candidates will join an interdisciplinary team that includes clinicians and researchers from robotics, AI & perception, imaging, and medicine. The lab is led by Prof. Hongliang Ren, who holds appointments in the Electronic Engineering Department at CUHK and the Department of Biomedical Engineering at NUS. For more information about the lab's research and recent publications, visit the lab website at labren.org.

Eligibility: Applicants should have a strong background in robotics, Embodied AI, Computer Science/Engineering, Electronic or Mechanical Engineering, medical physics, automation, or mechatronics, with a minimum GPA of 3.6/4. Preferred candidates will have hands-on experience in Embodied AI, robots, sensors, instrumentation, intelligent systems, magnetic actuation, ROS, and robotic control. Strong problem-solving, writing, programming, interpersonal, and analytical skills are required. Outstanding academic records or publications, especially from top-tier journals/conferences or top 50 institutes, are highly valued. Self-motivation and a strong academic track record are also important.

Application Process: Interested candidates should email Prof. Hongliang Ren at [email protected] with a detailed application package, including CV, transcripts, statement of objectives, research plan/interests, education background, experiences, GPA, representative publications, and demo projects. Only shortlisted candidates will be contacted for interviews.

This opportunity is ideal for students interested in advancing research in Embodied AI, medical robotics, and intelligent systems, and who wish to work in a collaborative, interdisciplinary environment at a leading institution in Hong Kong.

Funding details

No explicit funding details are provided in the post. It is implied that these are PhD/RA positions, which are typically funded, but no information on stipend, tuition coverage, or funding type is mentioned.

What's required

Applicants should have a background in robotics, Embodied AI, Computer Science/Engineering, Electronic or Mechanical Engineering, medical physics, automation, or mechatronics, with a GPA of 3.6/4 or above. Preferred qualifications include hands-on experience in Embodied AI, robots, sensors, instrumentation, intelligent systems, magnetic actuation, ROS, and general-purpose robotic control. Candidates should demonstrate strong problem-solving, writing, programming, interpersonal, and analytical skills, as well as outstanding academic records or publications, preferably from top-tier journals/conferences or top 50 institutes. Self-motivation and strong academic records are also preferred.

How to apply

Send an email expressing your interest to Prof. Hongliang Ren at [email protected]. Include your CV, transcripts, objective, research plan/interests, education background, experiences, GPA, representative publications, and demo projects. Only shortlisted candidates will be contacted for interviews.

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