We develop micro-surgical robotic systems and multi-sensory guidance algorithms to achieve impossible interventions deep inside the human body
The mission of the Robotics and Vision in Medicine (RViM) Lab is to develop image-guided micro-precise instruments that deliver regenerative therapies deep into the human body.
We are with the Dep. Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London.
Feel free to contact us for open PhD and post-doc positions. We are happy to support candidates to apply for fellowships to work within our group [Fellowships by the EPSRC, Royal Academy of Engineering, Royal Society (e.g. Newton International Fellowships), The Wellcome Trust, the Leverhulme Trust, and the European Union (MSC actions)].
If you are interested in a Ph.D. in Medical Image Computing and Computer-Assisted Interventions, make sure you pay close attention to the deadlines of the Medical Image Computing CDT. Also, be aware that King’s offers excellent scholarship opportunities for UK/EU and overseas students.
Contact us at: firstname.lastname@example.org
Surgical Robotic Systems, Interventional Visual Servoing, Robot Modelling and Control
Surgical Robotics, Manufacturing & Medical Devices Design, Laboratory Management
Haptic Devices, Parallel Robots, Robot Design and Optimsation, Cable-Driven Robots
Continuum Manipulators, Soft Robotics, Variable Stiffness Structures, Medical Robotics, Bioinspiration, Morphological Contribution, System Dynamics, Planning & Automation, Mechatronic Design.
Robotics, Prosthetics, Mechanical Design
Mechanical and Hardware Design, Systems modelling & Control
Machine Learning, Computer Vision, Augmented Reality
Data Science, Machine Learning, Computer Vision, Medical Imaging
Mechanical Design & Manufacture
Deep Learning, Computer Vision
Robotics, Artificial Intelligence, Computer Vision, Sensors and embedded systems
Dynamic System Modelling and Control, Robot Modelling and Control, Force Sensing and Control
Robotic Control, Artificial Intelligence, Medical Imaging
Computer Vision, Deep Learning, Multimodal Medical Image Registration
Surgical Robotics, Force/Shape Sensing & Control
Mechanical Design & Manufacture, Dynamic Systems modelling & Control