PhD Opportunity in XR-OR: Extended Reality Analytics for Smart Operating Rooms and Augmented Surgery
This is an opportunity for a talented PhD candidate with strong skills in developing prototype systems for Extended Reality (XR - which encompasses augmented and virtual reality) and/or Artificial Intelligence (AI); as well as an interest in finding ways to use advance human-computer interaction technologies to make surgery safer and more effective.
The Opportunity
The successful candidate will join the Embodied Visualisation Research Group at Monash University under the supervision of Professor Tim Dwyer, Australia's leading computer graphics researcher.
About the Project
* Immersive OR analytics: using XR to analyse data from various operating room sources. We will focus on techniques that will make such data available through hands-free interaction such that data analysis can be performed even during operations.
* Patient Data Analysis, Procedure Planning & Organ Segmentation: we will explore immersive XR interaction techniques for patient data segmentation and surgery planning.
* Hybrid User Interfaces and Collaboration: we will investigate XR support for collaboration across locations & devices, with a focus on surgical interventions, i.e. intra-operative but also for surgery planning. Use cases are remote mentoring, intra-operative team collaboration or training.
* Service and Maintenance: XR support of hospital/surgery theatre technicians in service, maintenance and repair tasks. This again may involve AI to support and guide workers, for example, to support predictive maintenance and task planning.
Requirements
To be considered for this opportunity, you should fulfil the eligibility requirements for Monash HDR candidates. For this particular position, you must also have an undergraduate or postgraduate qualification in Computer Science or related engineering or information technology discipline.
How to Apply
We invite applications from outstanding PhD candidates with undergraduate or postgraduate qualification in computer science with particular experience in one or more of the following areas: extended-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction.