PamiTC Job Board - Posting Details

Title: Tenure Track Assistant ProfessorPosted: October 1, 2016
Company/Institution: Ryerson University
Location: Toronto Canada
Department: Computer Science

Description: The Department of Computer Science in the Faculty of Science at Ryerson University (http://www.scs.ryerson.ca) invites applications for a full-time tenure-track position in Applied Machine Learning at the Assistant Professor level. In particular, we are interested in candidates with a strong machine learning background whose application areas complement the research of our existing faculty. Exceptional candidates in other areas of Computer Science may also be considered. This position commences July 1, 2017, subject to final budgetary approval. Candidates will hold a PhD in Computer Science or a related field. Candidates shall hold a strong research profile (e.g., evidence of an emerging scholarly record), and show evidence of high-quality teaching and student training. The successful candidate will be expected to establish and maintain an independent, externally funded research program, supervise graduate students, teach Computer Science courses at all levels, and engage in collegial service. The Department of Computer Science, consisting of 20 tenure-stream faculty members, prides itself both on the excellence of its research and on the quality of its teaching. The Department is experiencing dynamic growth, both at the undergraduate and graduate levels, with a focused expansion in the area of Artificial Intelligence. The Department offers a B.Sc. (with an optional Co-op), an M.Sc., and a PhD. With 38,000 undergraduate and 2,500 graduate students registered, Ryerson University is on a transformative path to become Canada

Application Instructions: The deadline for submission of applications is December 1, 2016, but later submissions may be considered until the position has been filled. For additional details (including the application submission process), please see the full job posting at https://hr.cf.ryerson.ca/ams/faculty/preview.cfm?posting_id=506711