Students are invited to apply to the Computer Science PhD program at
University of Toronto, on topics at the intersection of Computer Science
and Education. This year, UofT Computer Science made a tenure-track hire
who is conducting research on education and learning (Joseph Jay Williams
<>), expanding on U of
T's Computer Science Education research group <>.
PhD candidates can investigate how people learn to program, and other
related topics in computing education (the kind of work published at

They can also do research at the intersection of computer science and
education, applying computational techniques such as human-computer
interaction, crowdsourcing, and statistical machine learning to the study
of education within and beyond computer science (e.g. published at CHI, ACM
Learning Analytics & Knowledge, Learning @ Scale, EDM, AIED).

Students can apply for the Ph.D/Master's program
<> in Computer
Science and list potential advisors as Joseph Jay Williams (see or Tovi Grossman
<>. (Note that at Toronto, the Master's is a
research program that streams to the PhD. Students who want a professional
master's degree in preparation for industry should apply to the MScAC).

Students will be encouraged to collaborate with other members of the Computer
Science Education group <>, the HCI group in the
DGP <>, the machine learning group
<> and Vector Institute
<>, and faculty across the university in areas
like computational social science, psychology, education (OISE), public
health, and public policy.


Joseph Jay Williams
Assistant Professor
Department of Computer Science, University of Toronto

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