Our vision is to train doctoral researchers to become next-generation innovators in Artificial Intelligence (AI) applied to Healthcare, and we are inviting excellent, suitably qualified graduates with strongest AI-related skills and strong interest in healthcare to apply.
AI in healthcare needs and drives current AI research avenues such as interpretable AI, privacy-preserving learning, trust in AI, data-efficient learning and safety in autonomy. These are key due to the immediate impact on life and health for users depending on AI for healthcare support. Thus, AI training in our Centre will generalise across a whole spectrum of AI application scenarios far beyond healthcare. Our Centre will train a new generation of PhD-level innovators who will be able to move fluidly across boundaries and know how to bridge our understanding of the clinical language and methodologies, regulatory, legal and ethical frameworks of healthcare with core AI technical skills.
The doctoral researchers will benefit from an integrated training program and the joint supervision between at least one AI expert supervisor and one Healthcare expert supervisor. Our supervisor pool comprises world-leading experts in Artificial Intelligence and closely related disciplines (such as computer vision and robotics) as well as clinicians from currently three participating NHS Trusts that treat over 2 million patients a year.
We have a ‘gold-standard’ pipeline and vast network of research partners to provide access to data and to deploy technology in these highly regulated clinical worlds. Our PhD training programme is split into three phases: underpinning skills and knowledge in the Foundation phase, doing research in the Research Phase and driving PhD impact in the Impact phase; it also comprises student-led training which complements masterclasses and workshops in commercialisation of research, medical technology regulation and clinical trial of technology. There will be very many opportunities to showcase the projects at national and international conferences and public engagement events. Our students will also undertake research visits and internships at industry partners.
We are looking for driven graduates who are enthusiastic and strongly motivated to combine their AI-related skills with a strong interest in healthcare and patient treatment. Normally, applicants should have an honours degree in a relevant scientific or technical discipline, such as computer science, engineering (mechanical, electrical/electronics, bio/biomedical), mathematics, physics, as well as biological sciences, psychology, physiology or medicine. Desirable skills include mathematics, statistics, machine learning, computer vision, deep learning, robotics, natural language processing, human-computer interfaces and software engineering.
Applicants should be confident that they are able to demonstrate outstanding academic performance as the scheme is very competitive.
For entry in the Academic Year 2020-21, we have 25+ funded PhD places including clinical PhD Fellows*, starting September 2020. We are recruiting in 2 rounds: Closing date of Round One is 16 December 2019. Closing date of Round Two will be late January/early February 2020, details tbc.
*Clinical PhD Fellows also need to submit an application incl CV via Imperial’s Job portal; please contact us for more information: [email protected]
Each studentship award covers the tuition fees and a stipend for at least three years. For non-clinical PhD students, the stipend is paid at the Research Council rate, tbc for 2020-21 (in 2019-20 the stipend rate was £17,009 per annum, tax-free). Clinical PhD Fellows* are paid at their current basic clinical salary level, without banding, details tbc.*
International students (non-UK/EU) can apply, but please note that funding for international applicants is very limited due residential eligibility criteria, set by UKRI.