We seek an outstanding predoctoral or postdoctoral researcher for a five-year NIH-funded project to improve global estimation and modelling of HIV among children and adolescents. It will involve developing more data-driven methodology for paediatric HIV estimates published by UNAIDS and the Global Burden of Disease study and used to plan national HIV programmes. The project is a collaboration between the MRC Centre for Global Infectious Disease Analysis at Imperial College London and the Institute for Health Metrics and Evaluation at the University of Washington.

You will lead (1) extension of the EPP-ASM model (an integrated HIV epidemic and demographic projection model) to incorporate paediatric population, and (2) development of new Bayesian approaches to statistically calibrate models to multiple paediatric HIV data sources. Research findings will be published in peer-reviewed journals and implemented in software used by the Global Burden of Disease study and UNAIDS.

You will be a member of the HIV Inference Group within the MRC Centre for Global Infectious Disease Analysis at Imperial College London. The group focuses on improving the methods, data, and tools that quantify the global HIV epidemic and the demographic impacts of HIV. The group develops and maintains mathematical models and software tools used by national HIV programmes to produce official HIV statistics (https://hivtools.unaids.org/).

Full time and fixed term until 30 November 2025. There is potential opportunity for PhD study alongside project responsibilities for interested Research Assistant level applicants. Please contact Dr. Jeff Eaton (jeffrey.eaton@imperial.ac.uk) for enquiries