Research Fellow in Liver Resection: Join our innovative team dedicated to transforming healthcare through digital advancements in surgical interventions. We are seeking a talented Research Fellow to lead research efforts in enhancing real-time surgical planning and decision-making through high-fidelity augmented reality technologies.
Research Fellow in High-Fidelity Augmented Reality in Laparoscopic Liver Resection
Designation: Research Fellow
Research Area:
Computer Vision and Computer Graphics in Surgical Interventions
Location:
Leeds – Main Campus, Faculty of Engineering & Physical Sciences, School of Computer Science
Eligibility/Qualification:
- PhD in Computer Science, Electronic and Electrical Engineering, Robotics, or a closely related discipline (or thesis submitted before role commencement).
- Extensive coding experience (Python, C++).
- Published works in top-tier conferences/journals.
- Experience with vision-related problems and deep learning (preferably using PyTorch).
Job Description:
The successful candidate will:
- Lead research on real-time and highly accurate preoperative-to-intraoperative fusion challenges in surgery.
- Develop novel solutions to tackle vision ambiguity, occlusions, and other surgical complications.
- Set up experiments with controlled robotic arms and sensors on phantom models.
- Collaborate with computational scientists and clinical surgeons to advance surgical care.
How to Apply:
Interested candidates should contact Dr. Sharib Ali at S.S.Ali@leeds.ac.uk for further exploration of the post or any inquiries. To apply, please visit the university’s job application page.
Last Date for Apply:
Sunday, 26 October 2025
Explore the opportunity to contribute to pioneering research aimed at making surgical procedures safer, faster, and more effective.
