About the Studentships

  • Start date: April or September 2026
  • Duration: 3.5 years
  • Funding:
    • Tax-free stipend of £22,780 per 12 months
    • Home-rate tuition charges absolutely coated
  • Location: Based at LSHTM (Faculty of Epidemiology and Population Health) with joint supervision from LSHTM, Imperial College London, and UKHSA

Research Environment & Training

  • Joint supervision by educational and public well being specialists throughout all three establishments
  • Access to main analysis centres, together with:
    • Centre for the Mathematical Modelling of Infectious Diseases (LSHTM)
    • MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre (Imperial)
  • Participation in seminars, journal golf equipment, and NIHR HPRU actions
  • Opportunity to take Master’s-level modules (topic to approval)
  • Strong help for profession growth, transferable abilities coaching, and networking
  • Funding-supported attendance at nationwide and worldwide conferences

Available PhD Projects

1. Improving Infectious Disease Forecasting via Novel Data Integration and Ensemble Methods

  • LSHTM: Sebastian Funk
  • Imperial College London: Anne Cori
  • UKHSA: Edwin van Leeuwen
  • Moving past static assumptions (e.g. fixed copy numbers)
  • Integrating various knowledge sources resembling wastewater surveillance, genomics, mobility, and healthcare-seeking behaviour
  • Combining mechanistic fashions with ML/AI approaches
  • Developing decision-focused analysis metrics (e.g. peak timing, magnitude, thresholds)

2. Real-Time Analysis of Household Transmission Studies for Epidemic Preparedness

  • LSHTM: Sebastian Funk
  • Imperial College London: Anne Cori
  • UKHSA: Christopher Overton
  • Secondary assault charges
  • Delay distributions (incubation interval, serial interval)
  • Reproduction numbers and transmission chains

Eligibility

  • A related Master’s diploma (accomplished or imminent) with sturdy grades, or equal {qualifications} and expertise
  • Background ideally in quantitative disciplines resembling biostatistics, arithmetic, statistics, laptop science, physics, bioinformatics, or epidemiology
  • Coding expertise (e.g. R, Julia, or comparable languages)
  • Applicants should be eligible for UK home-fee standing, as outlined by LSHTM and UK Government laws

How to Apply

  1. Apply for analysis diploma study at LSHTM by way of the online portal
  2. In the funding part, write:
    “PhD Studentships Health Analytics and Modelling HPRU”
  3. Clearly point out which venture(s) you might be making use of for
  4. Submit a analysis assertion (max. 2 pages) outlining:
    • Motivation and background
    • How you’ll strategy the chosen analysis venture
    • Proposed methodology
  5. Contact the venture supervisors in advance for a casual dialogue (strongly inspired)

Application Deadline