Embark on a research journey as a Postdoctoral Fellow at the University of Toronto’s Faculty of Information. Focus on machine learning algorithms for Canadian political lobbying data.
Under the guidance of Professor Rohan Alexander, this unique opportunity involves working on the NSERC Alliance project with a strong applied research component. You will collaborate with the Investigative Journalism Foundation, enabling impactful contributions to real-world data challenges, all while engaging in a full time, research-oriented role.
Key Responsibilities:
• Drive research on public datasets for the project
• Collaborate with industry partners in applied research
• Develop algorithms for data validation and linking




• Participate in interdisciplinary research initiatives
• Flexibly manage your schedule to support research goals
Requirements:
• PhD with solid quantitative research background
• Excellent record of academic achievement
• Strong aptitude for collaborative research
• Understanding of statistical methodology and machine learning
• PhD must be completed within five years of start date
Elevate your research career and apply your statistical knowledge to influential projects at the University of Toronto.
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📌 Postdoctoral Position in Statistical Machine Learning (Toronto)
🏢 Investigative Journalism Foundation
📍 Toronto