PhD opportunity [October 2026 start] on "Learning-based vision system for marker-free external ventricular drain (EVD) neuronavigation"

Applications are invited for a fully funded 1+3 years MRes+PhD or 4 years PhD EPSRC CDT PSI studentship (including tuition fees, annual stipend and consumables) starting in October 2026.

Award details:

  • Focus: Learning-based vision system for marker-free external ventricular drain (EVD) neuronavigation
  • First supervisor: Tom Vercauteren
  • Second supervisor: Jonathan Shapey
  • Funding type: 4-year fully-funded EPSRC CDT PSI studentship including a stipend, tuition fees, research training and support grant (RTSG), and a travel and conference allowance.
  • Start date: October 2026
A simulated navigated neurosurgery in a mock operating room. The project aims at replacing the complex marker-based neuronavigation system by a marker-free approach for external ventricular drain (EVD) placement.
A simulated navigated neurosurgery in a mock operating room. The project aims at replacing the complex marker-based neuronavigation system by a marker-free approach for external ventricular drain (EVD) placement.

Project description

This research aims to develop a marker-free, AI learning-based neuronavigation system for external ventricular drain (EVD) placement. By leveraging real-time detection and tracking, precise image registration, and intuitive visualisation, the system seeks to enhance surgical accuracy, reduce complications, and address the limitations of traditional and existing image-guided techniques. To fulfil this aim, the following objectives will be pursued: 1) develop a real-time tracking system using stereo cameras and bespoke AI algorithms to capture and analyse the surgical scene, achieving high-precision tracking of the patient’s head and surgical instruments; 2) construct an efficient 6D pose estimation method for registering preoperative and intraoperative data, providing accurate guidance for surgical procedures.

Application Process

More information about the opportunity here and here.

Tom Vercauteren
Tom Vercauteren
Professor of Interventional Image Computing

Tom’s research interests include machine learning and computer assisted interventions

Jonathan Shapey
Jonathan Shapey
Clinical Academic and Consultant Neurosurgeon

Jonathan’s academic interest focuses on the application of medical technology and artificial intelligence to neurosurgery.