Associate Professor in Data Science
4 hours ago
Toronto, Ontario, Canada
Statistics Interest Group
Full-time
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Advance your academic career with the University of Toronto as an Associate Professor in Data Science Computation. This full-time position emphasizes innovation in research and teaching excellence.
The Department of Statistical Sciences seeks applications for a tenure-stream role commencing July 1, 2027. Candidates must possess a PhD in Statistics, Computer Science, or closely related fields, with proven expertise in data science computation. Successful candidates will lead independent research and contribute to teaching and departmental service, promoting equity and diversity.
Key Responsibilities
• Sustain and lead innovative research at an international level
• Develop and maintain a funded research program
• Teach and advise undergraduate and graduate students
• Contribute to departmental service and community engagement
• Collaborate with existing research teams and areas
Requirements:
• PhD in Statistics, Computer Science, or related discipline
• Established international reputation in data science computation
• Evidence of high-impact research contributions
• Demonstrated excellence in teaching and mentorship
• Commitment to equity, diversity, and inclusion Elevate your career in academia with a focus on groundbreaking research and teaching in Data Science at the University of Toronto.
Key Responsibilities
• Sustain and lead innovative research at an international level
• Develop and maintain a funded research program
• Teach and advise undergraduate and graduate students
• Contribute to departmental service and community engagement
• Collaborate with existing research teams and areas
Requirements:
• PhD in Statistics, Computer Science, or related discipline
• Established international reputation in data science computation
• Evidence of high-impact research contributions
• Demonstrated excellence in teaching and mentorship
• Commitment to equity, diversity, and inclusion Elevate your career in academia with a focus on groundbreaking research and teaching in Data Science at the University of Toronto.