The project will investigate the use of VR, Simulation, Artificial Intelligence, Deep Learning and Robotics in surgical robotics. Specifically, it will explore training of machine learning algorithms in virtual environments, which simulate surgical procedures such as minimally-invasive surgery, flexible endoscopy, cardiovascular interventions and/or ophthalmology.
The research will aim to deliver algorithms and/or prototypes for autonomous surgery of the above procedures. You will use and develop cutting edge software for training surgical robots in simulated virtual environments via machine learning techniques such as Reinforcement Learning and Differentiable Simulation. Then, you will attempt to transfer the learned behaviours from simulated robot to state-of-the-art robotic arm to perform the aforementioned surgical procedures. You will join a thriving AI research community with many ongoing projects in healthcare.
We are looking for candidates with an enthusiasm for research, multidisciplinary collaboration and tackling challenging problems through teamwork. We are targeting candidates with an MSc in Computer Science, Biomedical Engineering, Machine Learning, AI or Robotics, but we would also consider exceptional STEM students providing that they have appropriate Computer Science skills. Ideal skills would include: programming (Python/C/C++) and ML frameworks (PyTorch/Tensorflow). Nice to have: 3D engines (Unity3D, Unreal Engine, Omniverse, Bullet Physics), robotics middleware (ROS), and knowledge of version control tools such as Git.
You do not need to have a background in Surgical Robotics, but willingness to learn basic concepts and definitions will be required.