POSITION SUMMARY
OMNI-RÉUNIS is seeking to fill several postdoctoral fellowship positions across Canada to build capacity in modelling of infectious diseases with a one-health lens. Successful candidates will work at the interface of mathematics/statistics, epidemiology, and public health to design and analyze mathematical/statistical models through an infection spectrum from early detection to mitigation. They will work with interdisciplinary committees of scientists and public health experts to produce simulation data and inform public health policy. Postdoctoral fellows will communicate their results through high-impact publications, conference presentations, and knowledge transfer events such as public seminars and other outreach activities.
QUALIFICATIONS & SKILLS
- PhD in applied mathematics, statistics, computer science, data science or a related field (essential)
- Demonstrated mathematical modelling, statistics, or data analysis capacities using data-driven quantitative analyses, differential equations, stochastic modelling, and/or mixed-effects modelling (essential)
- Experience in epidemiology or One Health (desired)
- Good oral and written communication skills