Publisher
source

King's College London

Fully Funded PhD Positions in Computational Biology, Microbiome, and AI in Health at King's College London King's College London in United Kingdom

Degree Level

PhD

Field of study

Immunology

Funding

Each studentship is fully funded for 4 years, covering 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.

Deadline

Expired

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Country

United Kingdom

University

King's College London

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Keywords

Immunology
Computer Science
Data Science
Biology
Computational Biology
Precision Medicine
Systems Biology
Medical Science
Microbiome
Omics
Statistics
Genetics/genomics
Machinelearning
Healthy Aging
Artificial Intelligence in health

About this position

King's College London is offering two fully funded PhD positions in computational biology, microbiome research, and AI in health as part of the EPSRC DRIVE-Health programme. These interdisciplinary projects are ideal for candidates interested in systems biology, host–microbe interactions, machine learning, and precision medicine. The PRISM project focuses on understanding the gut–immunome–bone marrow axis in myeloid neoplasms, integrating multi-omics data (gut metagenomics, bone marrow scRNA-seq, genomics) with advanced AI methods such as graph neural networks and biological network modelling. The goal is to enhance disease stratification and uncover causal mechanisms in immune–microbial interactions, contributing to personalized immunotherapies and infection-prevention strategies.

The iCHAMP project investigates the complex interplay between host genetics, the gut microbiome, and environmental factors in healthy ageing. Using AI and computational modelling, the project aims to map genetic influences on microbial metabolism and identify protective microbial functions against age-related decline. The research will develop digital twin models to forecast individual responses to interventions, supporting clinicians with data-driven insights for longevity and resilience.

Both projects are supervised by Dr Saeed Shoaie (primary supervisor), with Dr Cheng Zhang and Professor Claire Steves as co-supervisors. The research environment is described as supportive, interdisciplinary, and inspiring, offering opportunities to collaborate across biosciences, computer science, mathematics, statistics, and data science. The studentships are open to Home and International applicants, with tuition fees fully covered and a generous stipend of £25,403.40 per year, plus up to £20,000 for research consumables and conferences over four years. Applicants must meet English language requirements (IELTS Band D) and hold or expect a first or upper second class degree in a relevant discipline. International students are responsible for their own visa arrangements and Immigration Health Surcharge.

To apply, candidates should create an account with King’s Apply, submit their application to the EPSRC DRIVE-Health: Centre for Doctoral Training in Data-Driven Health MPhil/PhD (Full-time), upload a CV and personal statement, and ensure they select the correct funding option and code. The deadline for applications is 12 January 2026. Shortlisted candidates will be invited to interview in March/April 2026. For further information, applicants can contact the DRIVE-Health CDT team at [email protected] or visit the project pages for PRISM and iCHAMP.

Funding details

Each studentship is fully funded for 4 years, covering 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.

What's required

Applicants must 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. Candidates should be enthusiastic about interdisciplinary research in healthcare. English language proficiency at IELTS Band D (overall 6.5, minimum 6 in each component) is required. Open to Home and International applicants. International students must arrange their own visa and pay the Immigration Health Surcharge. Some may require ATAS clearance before applying for a visa.

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). Upload your CV and a personal statement. In the funding section, select Option 5 and enter 'EPSRC DRIVE-Health 2026'. Read the full application instructions on the King's College London website.

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