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King's College London

Fully Funded PhD in AI Hospital Simulation, Biomedical Engineering & Imaging Sciences, King's College London King's College London in United Kingdom

Fully Funded PhD in AI Hospital Simulation, Biomedical Engineering & Imaging Sciences, King's College London

King's College London

United Kingdom

Jan 12, 2026

Keywords

Computer Science
Biomedical Engineering
Mathematics
Medical Science
Statistics
Clinical Pathway
Machinelearning
Ai Agents
Data Multimodality
- Health Data

Description

King's College London is offering a fully funded PhD position in the School of Biomedical Engineering & Imaging Sciences, supervised by Associate Professor Hector Zenil and Dr Alan Hodgkinson. The project, 'AI Hospital of the Future: A Multi-Agent, Multimodal Simulation of End-to-End Automated NHS Patient Pathways,' is part of the EPSRC DRIVE-Health Centre for Doctoral Training. This interdisciplinary research opportunity focuses on developing a large-scale simulation environment for future hospitals, integrating autonomous agents, multimodal clinical data, workflow optimization, and AI-driven clinical decision pathways. The aim is to explore safe, equitable, and intelligent automation across entire patient journeys, from triage to diagnostics, treatment, and follow-up. The project will utilize rich UK health data resources, including the Clinical Practice Research Datalink and UK Biobank, to test how an AI hospital could manage real patients and potentially reduce delays or improve outcomes. Key objectives include developing specialist agents for GP triage, radiology, cardiology, neurology, and multidisciplinary decisions; building retrospective simulators to compare AI and actual outcomes; and quantifying diagnostic accuracy, time-to-diagnosis, referral appropriateness, length-of-stay, and fairness. The research will produce evidence aligned with NICE ESF and MHRA AIaMD standards to inform future NHS pilots. Applicants should have a first or upper second class degree in biosciences, computer science, mathematics, statistics, data science, chemistry, or physics, and be enthusiastic about interdisciplinary healthcare research. English language proficiency at IELTS Band D is required. International students are welcome but must cover their own visa application fees and Immigration Health Surcharge. The studentship covers full tuition fees, a tax-free stipend of £25,403.40 per year, and up to £20,000 for research consumables and conferences over four years. To apply, candidates must create an account with King’s Apply, submit an application to the EPSRC DRIVE-Health: Centre for Doctoral Training in Data-Driven Health MPhil/PhD (Full-time), and enter 'EPSRC DRIVE-Health 2026' in the funding section. A CV and a 500-word personal statement outlining motivation for postgraduate research are required. Applications close on 12 January 2026, with interviews scheduled for March/April 2026. For project-specific queries, contact the main supervisor before applying. This PhD offers the chance to join a vibrant interdisciplinary community in London, with cross-campus, cohort-based training and access to cutting-edge research in AI, healthcare automation, and biomedical engineering. The DRIVE-Health initiative is a £17M program bridging technological advances with real-world healthcare challenges, co-created with partners across the NHS, healthtech, pharma, and the third sector.

Funding

Each studentship is fully funded for 4 years, covering full tuition fees for both Home and International students. A tax-free stipend of £25,403.40 per year is provided, along with up to £20,000 over 4 years for research consumables and conference attendance. Visa application fees and Immigration Health Surcharge (£776/year) are not covered.

How to apply

Create an account with King’s Apply and apply to the EPSRC DRIVE-Health: Centre for Doctoral Training in Data-Driven Health MPhil/PhD (Full-time). Enter 'EPSRC DRIVE-Health 2026' in the funding section. Upload your CV and a 500-word personal statement. Ensure all mandatory sections are completed before submitting.

Requirements

Applicants should possess or expect to achieve a first or upper second class degree in a relevant subject such as biosciences, computer science, mathematics, statistics, data science, chemistry, or physics. Enthusiasm for interdisciplinary research in healthcare is essential. English language proficiency at IELTS Band D (overall 6.5, minimum 6 in each component) is required. International students must apply for a Student Visa and may need an ATAS certificate. A 500-word personal statement and a CV are required for application.

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