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- Tasks: Develop AI solutions for image registration and immersive technology in surgical care.
- Company: University of Leeds, a leading institution in research and innovation.
- Benefits: Full academic fees covered and a tax-free maintenance grant of £21,805 per year.
- Why this job: Make a real impact in medical imaging and transform surgical practices with cutting-edge tech.
- Qualifications: First class or upper second class degree in relevant fields; knowledge in deep learning preferred.
- Other info: Collaborate with experts and gain hands-on experience in a dynamic research environment.
The predicted salary is between 21805 - 21805 £ per year.
Overview
The PhD studentship will broadly explore the development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans to create 3D models of organs and intra-operative surgical videos. The candidate will develop surgical planning and implement new technologies for its integration as a VR/AR assistive platform. The research directions will be adapted based on the progress and consultation with clinical colleagues and supervisors, ensuring impactful outputs. The candidate will have the opportunity to collaboratively work with computational scientists and surgeons exploring novel ways to transform research and practice in surgical care.
Eligibility:
- UK and International
- A first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline.
- Ideal candidate will have some prior knowledge in deep learning and computer graphics.
Funding: £21,805 per year for 3.5 years.
Supervisors:
- Lead Supervisor: Dr Sharib Ali
- Co-supervisor: Dr Rafael Kuffner dos Anjos
- Co-supervisor (Clinical – External): Dr Shahid Farid
Approach to contact: Please feel free to contact the main supervisor informally with your CV and a short list of interests for a discussion.
PhD Studentship - Image Guided Intervention Supported with mixed Reality in Leeds employer: University of Leeds
Contact Detail:
University of Leeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Studentship - Image Guided Intervention Supported with mixed Reality in Leeds
✨Tip Number 1
Get your networking game on! Reach out to current PhD students or faculty members in the School of Computer Science. A casual chat can give you insights into the programme and might even lead to a recommendation.
✨Tip Number 2
Don’t just send your CV; tailor it! Highlight your experience with AI, image registration, and any relevant projects. Make sure it screams 'I’m the perfect fit for this studentship!'
✨Tip Number 3
Follow up after your initial contact. A quick email thanking them for their time and reiterating your interest can keep you fresh in their minds. Plus, it shows you're keen!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace PhD Studentship - Image Guided Intervention Supported with mixed Reality in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the PhD studentship. Highlight any relevant experience in AI, image registration, or immersive technology. We want to see how your background aligns with the project!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this research area. Share your interests and how they connect to the project. This is your chance to show us your enthusiasm and fit for the role!
Showcase Your Skills: If you have experience with deep learning or computer graphics, make sure to showcase it! We’re looking for candidates who can bring valuable skills to the table, so don’t hold back on your achievements.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly, and we can’t wait to hear from you!
How to prepare for a job interview at University of Leeds
✨Know Your Stuff
Make sure you brush up on your knowledge of AI solutions, image registration, and anatomy segmentation. Familiarise yourself with the latest trends in VR/AR technologies, as well as any relevant projects that Dr Sharib Ali and Dr Rafael Kuffner dos Anjos have worked on. This will show your genuine interest and help you stand out.
✨Showcase Your Skills
Prepare to discuss your previous experience with deep learning and computer graphics. Bring examples of your work or projects that relate to medical imaging or surgical planning. Being able to demonstrate your skills practically can really impress the interviewers.
✨Ask Thoughtful Questions
Don’t just wait for the interviewers to ask if you have questions. Prepare some insightful queries about the project, such as how they envision the integration of new technologies in surgical care. This shows that you’re not only interested in the position but also in contributing to the research.
✨Connect with the Supervisors
Before the interview, reach out to Dr Sharib Ali or Dr Rafael Kuffner dos Anjos with your CV and a brief list of your interests. This informal contact can help you build rapport and may give you an edge during the interview by showing your proactive approach.