|Funding for:||UK Students, EU Students|
|Placed On:||25th March 2019|
|Closes:||20th May 2019|
Funding amount: £15,000 maintenance grant per annum
Lead Supervisor name: Dr Xiaosong Yang
The fast-growing digital innovations for surgery has led to a number of disruptive technologies in the surgical workplace. To improve the proficiency of surgeons, Virtual Reality (VR) based simulators with vision and haptic feedback techniques have been adopted as a cost-effective, risk-free and efficient alternative to the traditional medical trainings. However, despite the advancing techniques like physically based soft tissue deformation and realistic rendering, the force feedback can only offer limited operations compared with real surgery instruments. Mixed Reality (MR) techniques, blending the physical world with the digital world, bring the next evolution into human, computer, and environment interaction by advancements in computer vision, graphical processing power, display technology, and input systems. A major advantage of the MR simulator over VR is that it allows the trainee to use the same instruments used in the operating room, and provides realistic haptic feedback from hybrid mannequin environment. There are a few early stage MR based simulators on the market, developing rapidly, like Touch Surgery. However, they are still facing challenges on the tracking of non-rigid objects which is common in surgery simulation.
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £15,000 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 48 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for funded PhD studentship must demonstrate outstanding qualities and be motivated to complete a PhD in 4 years.
Studentship candidates must demonstrate outstanding academic potential with a 1st class honours degree and/or a Master’s degree with distinction. An IELTS (Academic) score of 6.5 minimum (with a minimum 6 in each component) is essential for candidates for whom English is not their first language.
Applicants should hold a degree, or equivalent, in a relevant subject, such as, but not limited to, Computer Science, Mathematics, Physics, Engineering. Experience and knowledge in at least one of the following area are preferable: Computer Graphics, Computer Vision, Virtual Reality, Data Mining and Deep Learning.
In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.
Closing date: The first call for applications will close on 20 May 2019.
For further information on how to apply click the ‘Apply’ button below or email email@example.com
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