Join AIMMLab as a Postdoctoral Fellow

Thank you for your interest in joining AIMMLab. We are actively recruiting passionate postdoctoral fellows with strong quantitative abilities and a deep motivation to tackle novel challenges in health, ecology, and environmental management. If our scientific interests overlap and you’d like to join us, please email jude.kong@utoronto.ca.

Essential Qualities

Impact-driven motivation
A significant drive to effect change in health, ecology, or environmental management.
Mathematical proficiency
Equivalent to (or beyond) an undergraduate minor in mathematics.
Programming ability
Proficient in Python, R, or related languages.
Excellent communication
Clear writing and speaking across diverse, interdisciplinary teams.

Research Areas (examples)

Areas of work include, but aren’t limited to, the following:

AI-driven visualization & analytics for policy
Design tools that translate complex data into actionable insights for decision-makers.
Now-casting & forecasting of epidemic waves
Short-term prediction of COVID-19 and other diseases to inform healthcare planning.
Early outbreak dynamics & community spread
Characterize initial transmission prior to non-pharmaceutical interventions (NPIs).
Mathematical models to evaluate NPIs
Quantify effects of home quarantine, social distancing, tracing apps, testing & isolation on epidemic trajectories and healthcare demand.
Vaccination & NPIs
Determine how vaccination alters NPI uptake needed for post-vaccine waves.
Economic-epidemiological integration
Develop models that couple transmission dynamics with economic outcomes for policy analysis.
Spatial spread & hotspot analysis
Local outbreak simulation (including informal settlements) and identification of vulnerable areas.
Setting-specific analyses
Households, hospitals, and other contexts using statistical & mathematical methods.