At a Glance
- Tasks: Lead innovative research and teach the next generation of data scientists.
- Company: Join the prestigious University of Toronto's Department of Statistical Sciences.
- Benefits: Tenure-stream position with opportunities for impactful research and teaching.
- Other info: Collaborative environment with a focus on community engagement and mentorship.
- Why this job: Shape the future of data science while promoting equity and diversity.
- Qualifications: PhD in Statistics, Computer Science, or related field with proven expertise.
Advance your academic career with the University of Toronto as an Associate Professor in Data Science Computation. This full-time position emphasizes innovation in research and teaching excellence.
The Department of Statistical Sciences seeks applications for a tenure-stream role commencing July 1, 2027. Candidates must possess a PhD in Statistics, Computer Science, or closely related fields, with proven expertise in data science computation. Successful candidates will lead independent research and contribute to teaching and departmental service, promoting equity and diversity.
Key Responsibilities: • Sustain and lead innovative research at an international level • Develop and maintain a funded research program • Teach and advise undergraduate and graduate students • Contribute to departmental service and community engagement • Collaborate with existing research teams and areas
Requirements: • PhD in Statistics, Computer Science, or related discipline • Established international reputation in data science computation • Evidence of high-impact research contributions • Demonstrated excellence in teaching and mentorship • Commitment to equity, diversity, and inclusion
Elevate your career in academia with a focus on groundbreaking research and teaching in Data Science at the University of Toronto. #J-18808-Ljbffr
Associate Professor in Data Science in Toronto employer: Statistics Interest Group
The University of Toronto is an exceptional employer for those seeking to advance their academic careers in Data Science. With a strong commitment to innovation, equity, and diversity, the university fosters a collaborative work culture that encourages independent research and teaching excellence. Employees benefit from extensive professional development opportunities, a vibrant academic community, and the chance to make a significant impact in the field of data science.
