AIPHA supports the training of highly qualified personnel across disciplines spanning artificial intelligence, data science, computational epidemiology, public health, and quantitative modelling. As the Centre grows, we will offer a range of opportunities for graduate and undergraduate students, as well as postdoctoral fellows, who are interested in advancing AI-driven solutions for public health.
Graduate Studies (MSc/PhD)
Students interested in pursuing graduate research aligned with AIPHA鈥檚 themes鈥攕uch as computational epidemiology, machine learning for health, public health modelling, AI-enabled surveillance systems, and decision-support tools鈥攁re encouraged to indicate this in the research statement of their application.
Undergraduate Research
Undergraduate students seeking research experience, independent study projects, or summer research placements related to AI and public health may contact the Centre regarding available opportunities and upcoming programs.
Postdoctoral Fellowship
AIPHA anticipates recruiting postdoctoral fellows with expertise in areas relevant to the Centre鈥檚 mission. Candidates should have strong analytical skills, experience with computational systems, and fluency in at least one programming language used in AI or quantitative modelling.
Research Themes and Training Environment
Research within the Centre integrates:
- AI and machine learning for public health applications
- Computational epidemiology and infectious disease modelling
- Data analytics, inference, and decision-support systems
- Network and agent-based modelling
- Health systems resilience, preparedness, and response
- Public health policy modelling and economic evaluation
AIPHA provides a collaborative, interdisciplinary environment with opportunities for cross-university engagement, partnerships with public health agencies and industry, and involvement in high-impact research initiatives, including hands-on experience through placements.
Learn More
For general inquiries related to training opportunities, please email us.