Assistant Professor, Teaching Stream, Human Centred Data Sciences
About the role
Position Description
The Department of Computer Science at the University of Toronto invites applications for a teaching stream position in Human Centred Data Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream, and will begin on July 1, 2024, or shortly thereafter.
Responsibilities
The successful candidate will:
- Teach undergraduate and graduate courses in Human Centred Data Sciences.
- Supervise undergraduate and graduate students.
- Contribute to curriculum development and program administration.
- Engage in pedagogical research and scholarship.
Qualifications
Minimum Qualifications:
- A PhD in Computer Science or a related field.
- A demonstrated commitment to teaching and learning.
- Evidence of excellence in teaching.
Preferred Qualifications:
- Experience in teaching Human Centred Data Sciences or related areas.
- A record of pedagogical innovation.
- Experience with online and hybrid teaching methods.
Additional Information
The University of Toronto is committed to diversity and inclusion and encourages applications from all qualified individuals. We welcome applications from members of groups that have been historically marginalized or underrepresented in academia.
About University of Toronto
Founded in 1827, the University of Toronto is Canada’s top university with a long history of challenging the impossible and transforming society through the ingenuity and resolve of our faculty, students, alumni, and supporters.
We are proud to be one of the world’s top research-intensive universities, bringing together top minds from every conceivable background and discipline to collaborate on the world’s most pressing challenges. As a catalyst for discovery, innovation, and progress, we prepare our students for success through an outstanding global education and commitment to inclusive excellence.
The ideas, innovations, and actions of more than 660,000 graduates advance U of T’s impact on communities across the globe.
Assistant Professor, Teaching Stream, Human Centred Data Sciences
About the role
Position Description
The Department of Computer Science at the University of Toronto invites applications for a teaching stream position in Human Centred Data Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream, and will begin on July 1, 2024, or shortly thereafter.
Responsibilities
The successful candidate will:
- Teach undergraduate and graduate courses in Human Centred Data Sciences.
- Supervise undergraduate and graduate students.
- Contribute to curriculum development and program administration.
- Engage in pedagogical research and scholarship.
Qualifications
Minimum Qualifications:
- A PhD in Computer Science or a related field.
- A demonstrated commitment to teaching and learning.
- Evidence of excellence in teaching.
Preferred Qualifications:
- Experience in teaching Human Centred Data Sciences or related areas.
- A record of pedagogical innovation.
- Experience with online and hybrid teaching methods.
Additional Information
The University of Toronto is committed to diversity and inclusion and encourages applications from all qualified individuals. We welcome applications from members of groups that have been historically marginalized or underrepresented in academia.
About University of Toronto
Founded in 1827, the University of Toronto is Canada’s top university with a long history of challenging the impossible and transforming society through the ingenuity and resolve of our faculty, students, alumni, and supporters.
We are proud to be one of the world’s top research-intensive universities, bringing together top minds from every conceivable background and discipline to collaborate on the world’s most pressing challenges. As a catalyst for discovery, innovation, and progress, we prepare our students for success through an outstanding global education and commitment to inclusive excellence.
The ideas, innovations, and actions of more than 660,000 graduates advance U of T’s impact on communities across the globe.