Kath O'Reilly
2 months ago
PhD in Infectious Disease Epidemiology and Mathematical Modelling at LSHTM London School of Hygiene and Tropical Medicine, University of London in United Kingdom
Degree Level
PhD
Field of study
Data Science
Funding
Full funding availableDeadline
December 31, 2026Country
United Kingdom
University
London School of Hygiene & Tropical Medicine

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
More information can be found here
Keywords
About this position
The London School of Hygiene and Tropical Medicine (LSHTM) is offering a PhD opportunity in Infectious Disease Epidemiology and Mathematical Modelling, supervised by Associate Professor Kath O'Reilly and Marc Bauguellin. The successful applicant will join the modelling HPRU at LSHTM, working across disease specialisms and collaborating with teams in CMMID, HPRU, and LSHTM. Research topics include the development and evaluation of disease surveillance systems for early detection of pandemics, with a particular focus on innovative approaches such as wastewater surveillance. These questions are highly policy-relevant and remain largely unanswered, offering a unique chance to contribute to global health preparedness.
Applicants should have a strong background in mathematical modelling, epidemiology, or statistics, and those currently studying for a MSc in related fields are especially encouraged to apply. The position is open only to students eligible for UK home fees. Funding information is available through the LSHTM research degree funding and scholarships page, and applicants are encouraged to review these details to determine their eligibility and potential support.
The application deadline is in late March 2026. Interested candidates should review the full details and funding options at the LSHTM website and prepare their application materials accordingly. This is an excellent opportunity for students passionate about public health, data science, and infectious disease research to join a leading institution and contribute to impactful, policy-driven research.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.