Overview
This is an exciting opportunity for a fully funded PhD position at the University of Sheffield, UK, focusing on multi-modal cardiac modelling and artificial intelligence applications in healthcare. This project aims to advance the understanding of cardiac structure and function through various imaging and clinical data modalities.
Background & Relevance
The integration of multi-modal data, including MRI, CT, ultrasound, ECG, and clinical history, is crucial in the field of medical imaging and AI. This research area is significant as it can lead to improved diagnostic and treatment strategies for cardiovascular diseases, which remain a leading cause of mortality worldwide. By leveraging generative modelling techniques, the project seeks to enhance the analysis of complex cardiac data, thereby contributing to the broader field of healthcare AI.
Key Details
- Position: Fully funded PhD
- Location: University of Sheffield, UK
- Duration: 3.5 years
- Funding: Covers full tuition (UK or international) and a UKRI-rate stipend
- Research Budget: Project-linked budget available
- Application Link: FindAPhD
- Supervisor Bio: Chen Chen
Eligibility & Participation
This PhD position is open to candidates with a strong interest in multi-modal data analysis, medical imaging, and AI. It targets individuals who are eager to engage in innovative research and collaborate with clinical partners and international research groups.
Submission or Application Guidelines
Interested applicants should follow these steps to apply:
1. Visit the application link provided above.
2. Review the project details and eligibility criteria.
3. Prepare the necessary documents as per the guidelines on the application page.
4. Submit your application through the online portal.
Informal inquiries can be directed to the supervisor at enquiry.ai4health@gmail.com.
Additional Context / Real-World Relevance
The research conducted in this PhD program aligns with the growing demand for advanced AI techniques in healthcare. As cardiovascular diseases continue to pose significant health challenges, this project aims to bridge the gap between technology and clinical practice, paving the way for innovative solutions in patient care. The collaboration with clinical partners enhances the practical relevance of the research, ensuring that findings can be translated into real-world applications.
Conclusion
This fully funded PhD position at the University of Sheffield presents a unique opportunity for aspiring researchers in the field of multi-modal cardiac modelling and AI. Interested candidates are encouraged to explore this opportunity and apply, contributing to the advancement of healthcare through innovative research.
Category: PhD & Postdoc Positions
Tags: phd, cardiac-modelling, ai, healthcare, medical-imaging, generative-models, university-of-sheffield, ecg, mri, ct, ultrasound
