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 solid 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 setting. Key Responsibilities:
Conduct independent, creative 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
Robust teaching dossier and reference letters Elevate your academic presence and research impact in the vibrant community at the University of Toronto.

📌 Assistant Professor In Statistical Learning Theory Toronto (Canada)
🏢 American Statistical Association - ASA
📍 Canada