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 setting. 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