Main Duties and Responsibilities:
Collaborate with the medical robotics team in CAIR to conduct research on the multi-discipline research of machine vision and augmented reality technologies with medical robotics. Expected outputs are scientific papers, patents, and prototype systems with translational value, with applicants choosing to focus on their own career development interests. The applicant's professional background includes, but is not limited to: Machine Vision, Deep Learning, Augmented Reality, Virtual Reality, Robotics and Control, and Computer-assisted Surgery.
The applicant is expected to:
- Undertake important scientific and technological tasks and achieve research outputs.
- Prepare funding applications in existing and new areas of research, if required.
- Assist CAIR R&D and other activities to facilitate our strategic growth of research.
- Ph.D. in computer science, biomedical engineering, robotics, or related disciplines.
- Proficient programming skills and knowledge of artificial intelligence/robotics/AR/VR.
- Good teamwork ability. Willingness to conduct multi-discipline research and engage with researchers with different backgrounds.
- Research experience with a proven track record of publication and technology innovation within the fields of Computer Science, AI, Biomedical Engineering, or Robotics.
- Competitive salary to local universities (negotiable case by case)
- Medical insurance, annual leave, etc.
Introduction of Supervisor:
Dr. Shuangyi Wang is a Senior Research Scientist at the Institute of Automation, Chinese Academy of Sciences (CAS). His main research interests focus on medical robot design and robot-assisted surgery, providing new solutions for healthcare workers to stay away from high-risk environments and connecting primary clinics with center hospitals. He led the development of the world's first transesophageal ultrasound robot, the dual-arm early pregnancy screening robot, and the portable interventional surgical assistance robot, and has accumulated nearly 100 clinical tests, including the world's first remotely operated ultrasound robot-guided patent foramen ovale closure. He is currently undertaking several research projects with a cumulative funding of seven million RMB and has published nearly 30 papers in high-standard journals and conferences in the last five years.