Expand your academic career with a full-time, tenure stream position as Assistant Professor in Statistical Learning Theory at the University of Toronto. We're seeking a candidate dedicated to creative research and teaching excellence.

The Department of Statistical Sciences at the University of Toronto is looking for an Assistant Professor who has a PhD in Statistics, Computer Science, or a related field. The ideal candidate will have a strong research background, evidenced by publications in top journals, and a commitment to equity and diversity in their teaching. Alongside research, you will contribute to teaching and service responsibilities while promoting an inclusive learning environment.

Key Responsibilities:
• Conduct independent, cutting-edge research in Statistical Learning Theory




• Create and teach courses in statistical sciences
• Mentor and guide diverse student groups
• Develop competitive, externally funded research programs
• Engage in departmental service and community outreach

Requirements:
• PhD in Statistics or related discipline
• Proven research excellence with publications
• Experience in teaching and mentoring diverse groups
• Commitment to equity, diversity, and inclusion
• Solid teaching dossier and reference letters

Elevate your academic presence and research impact in the vibrant community at the University of Toronto.
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📌 Assistant Professor In Statistical Learning Theory Ontario (Canada)
🏢 American Statistical Association - ASA
📍 Canada