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Centre for Doctoral Training in Digital Twins for Healthcare


   School of Natural & Mathematical Sciences

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  Prof P Lamata, Dr Marina Riabiz, Prof S Niederer, Dr S Zschaler  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

The Centre for Doctoral Training in Digital Twins for Healthcare is now open for applications for 1st October 2023 start date.

Award details

Do you want to make a difference in digital advancements of healthcare? Do you want to bridge the gap between healthcare domain-based knowledge, state-of-the art computing, and personalization techniques? Do you want to test your skills in real-life healthcare applications?

Join our Centre for Doctoral Training (CDT) in Digital Twins for Healthcare (DT4Health) at King’s College London!

DT4Health is an innovative PhD program located at KCL, in the heart of London, arising as a joint forces collaboration between the Healthcare Faculties and the Faculty of Natural, Mathematical & Engineering Sciences.

Our mission is to train the next generation of leaders in healthcare technology to improve healthcare systems in the UK in a period of aging population and tightening financial constraints, using the cutting-edge framework of Digital Twins.

DT4Health is a technology-driven CDT that aims to build multidisciplinary bridges to clinical specialities. The CDT welcomes applications from outstanding candidates from a variety of backgrounds, who are enthusiastic about multi-disciplinary research and training to build the next generation of Digital Twins in healthcare.

Award value

Each studentship is fully funded for 3.5 years. This includes tuition fees, stipend and generous project consumables.

Stipend: Students will receive a tax-free stipend at the UKRI rate of ca £19,668 (AY 2022/23) per year as a living allowance.

Research Training Support Grant (RTSG): A generous project allowance will be provided for research consumables and for attending UK and international conferences.

Eligibility criteria

Applicants should hold/be predicted a 1st class or upper second-class degree in relevant core subjects such as mathematics, mechanical, electronic, electrical and information engineering, computer science, physics, statistics, data science, artificial intelligence.

Eligibility criteria: Open to Home and International applicants.

Subject areas: Mathematics. Biomedical and life sciences. Mechanical, Electronic and Information Engineering, Computer science, Physics, Statistics, Data Science, Artificial Intelligence.

Applicable level of study: Postgraduate research

Application process

Please see ‘Apply’ section on CDT website https://www.kcl.ac.uk/research/dt4health-cdt for information 

If you have any questions please do not hesitate to contact us on [Email Address Removed] 

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