A fully funded PhD position is open through the Life Course Research Programme, based at the University of Florence and funded by the University of Trento, starting November 2026. The project examines how socioeconomic factors, including income, education, occupation, spatial segregation, and mobility, shape exposure to and transmission of infectious diseases, blending social demography, computational epidemiology, and quantitative social science. Supervised by Prof. Michele Tizzoni of the University of Trento, the successful candidate will train at both universities.
Requirements: Master’s degree in mathematics, statistics, epidemiology, computer science, sociology, or demography, plus basic programming skills in R or Python. Experience in infectious disease modeling or statistical methods is a plus.
Apply by: August 6, 2026, noon — via the University of Florence PhD portal.
