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 innovative 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,



innovative 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 • Strong 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)
🏢 American Statistical Association - ASA
📍 Toronto