Fully Funded PhD Studentship: CDTnet – European Doctoral Network in Computational Cardiology
Fully FundedLondon, United Kingdomphd· Fully Funded (MSCA-style doctoral network)
Project Overview
King's College London is leading CDTnet, a European doctoral network supporting the training of PhD researchers in the development of cardiovascular Digital Twins.
Basic Information - Full Programme Name: CDTnet – Cardiovascular Digital Twin Network - Host Institution: King's College London (lead) - Study Level: PhD - Number of Positions: 15 PhD researchers across the network - Start Date: Projects opening September 2026 onward - Funding Type: Fully Funded (MSCA-style doctoral network) - Eligibility: Open to all nationalities - Application Deadline: Rolling as projects are advertised from September 2026 -
King's College London is leading CDTnet, a groundbreaking new European doctoral network that will revolutionise cardiovascular care. The network will support the training of 15 PhD researchers in the development of cardiovascular Digital Twins. A Digital Twin is a highly sophisticated, personalised virtual representation of an individual patient's heart. By simulating the physical and physiological processes of the heart, these digital twins can help detect and assess risks earlier, improve diagnostic accuracy, and support the selection of the most effective, personalised treatment strategies. This project sits at the absolute forefront of computational medicine, bringing together leading universities, clinical institutions, and industry partners across Europe.
Research Themes & Objectives
The research within CDTnet is highly interdisciplinary, combining advanced computational modelling, fluid dynamics, and artificial intelligence to create accurate, predictive cardiac models. The objective is to move beyond generic treatments and enable truly personalised cardiology. By creating a digital twin of a patient's heart, clinicians can test the efficacy of different interventions in a virtual environment before applying them in the real world. This minimises risk and maximises the chances of successful patient outcomes.
Training & Development
As an MSCA-style doctoral network, CDTnet offers an exceptional, structured training programme. PhD researchers will receive comprehensive training in scientific communication, ensuring they can present complex computational concepts to diverse audiences. The programme also includes modules on entrepreneurship, clinical translation, ethics, and leadership. Furthermore, students will receive specialised training in artificial intelligence and innovation, equipping them with the skills needed to bring computational medical technologies from the lab to the clinic. The networked nature of the programme means students will undertake secondments at partner institutions, gaining diverse academic and industry experiences.
Eligibility & Requirements
The network is open to all nationalities. Specific requirements will vary depending on the individual project advertised within the network. Generally, candidates should have a strong background in computer science, physics, biomedical engineering, or medicine, with a keen interest in applying computational methods to cardiology.
How to Apply
Projects will begin being advertised from September 2026 onward. Prospective applicants are advised to monitor the CDTnet website (https://www.cdtnet.eu/) and follow the network on LinkedIn for the latest project adverts and application instructions.
