Associate/Full Professor, Data Science Computation

Job summary

The successful candidate will conduct high-impact research in data science computation and contribute to the department's teaching mission. They are expected to advance theoretical and methodological foundations while engaging in collegial learning environments.

Job details

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure-stream position in Data Science Computation or adjacent fields, based at 700 University Avenue, Toronto, ON. The appointment will be at the rank of Associate Professor or Professor, with an anticipated start date of July 1, 2027. Research focus: We seek exceptional candidates with an established international reputation whose research advances the theoretical and methodological foundations of computation in data science, including sampling and simulation, computational inference, optimization, randomized numerical methods, and scalable algorithms for high-dimensional problems — with particular interest in statistical-computational tradeoffs, complexity, convergence, and theoretical guarantees. Qualifications: - PhD in Statistics, Computer Science, Data Science, or a closely related discipline - Clearly demonstrated record of excellence in research and teaching, with sustained high-impact contributions and publications in top-ranked journals - Research statement, presentations at significant conferences, distinguished awards, and strong endorsements from referees of high standing - Evidence of teaching excellence: teaching accomplishments, teaching dossier, and strong letters of reference - Commitment to equity, diversity, inclusion, and collegial learning environments - Research and teaching interests that complement the department's existing strengths The University of Toronto is committed to equity, diversity, and excellence, and strongly welcomes and encourages applications from Black, Indigenous, and other Racialized communities. To apply, click Apply to submit your application through the original job posting.

What you’ll do

The successful candidate will conduct high-impact research in data science computation and contribute to the department's teaching mission. They are expected to advance theoretical and methodological foundations while engaging in collegial learning environments.

Requirements

Candidates must hold a PhD in Statistics, Computer Science, Data Science, or a related field and possess an established international reputation. A demonstrated record of excellence in research, high-impact publications, and teaching is required.

Listed skills

• discipline · Preferred
• Time · Preferred
• Organization · Preferred
• Attention to detail · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Science
• Statistical Sciences
• Computational Inference
• Optimization
• Randomized Numerical Methods
• Scalable Algorithms
• High-dimensional Problems
• Sampling
• Simulation
• Statistical-computational Tradeoffs
• Complexity Analysis
• Convergence Analysis
• Theoretical Guarantees
• Academic Research
• Teaching
• Research
• Algorithms
• Computer Science
• Scalability
• Numerical Analysis
• Presentations
• Simulations
• Statistics

Job areas

• Education
• Science & Research
• Data & Analytics
• Technology
• Assistant/Associate/Full Professor
• Data Scientist
• Systems Analysts
• Data Scientists

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