Assistant Professor - Computer Science

Ontario Tech University; Oshawa; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading educational institution in Oshawa, Canada, invites applications for a tenure-track Assistant Professor in Computer Science. The role involves developing a research programme, teaching courses, and contributing to curriculum development. Candidates should possess a PhD (or near completion) in Computer Science, demonstrated expertise in AI and ML, and a commitment to equity and diversity. The expected start date is July 1, 2026. Applications will be reviewed starting January 16, 2026.

Qualifications

• PhD or near completion in Computer Science or a related field.
• Demonstrated expertise in AI and ML.
• Strong research record and teaching potential.

Responsibilities

• Develop an innovative externally funded research programme.
• Teach undergraduate and graduate courses.
• Contribute to curriculum development.

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Teaching effectiveness

Research excellence

English language skills

Equity, diversity and inclusion

Education

PhD or equivalent in Computer Science or a related field

Job description

Assistant Professor - Computer Science

Ontario Tech University (University of Ontario Institute of Technology) in Oshawa, Ontario, is inviting applications for a tenure‑track faculty position in Computer Science, effective July 1, 2026.

Overview

Ontario Tech offers an interactive, technology‑enriched learning environment and a culture that values research, innovative teaching, and community engagement. The Faculty of Science, a non‑departmental unit, emphasizes interdisciplinary collaboration across mathematics, physics, biology, chemistry, and forensics.

Responsibilities

• Develop a successful and innovative externally funded research programme, assessed by peer‑reviewed publications, graduate student training, and academic‑industrial collaborations. • Teach undergraduate and graduate courses, contribute to curriculum development, and explore pedagogical applications of technology in Computer Science education. • Work under a 40% Research, 40% Teaching, 20% Service workload distribution each year.

Eligibility & Qualifications

• PhD or equivalent in Computer Science or a related field (or near completion). • Demonstrated expertise, preferably in Artificial Intelligence (AI) and Machine Learning (ML). • Strong record of research excellence, potential for effectiveness in teaching, and excellent English language skills. • Commitment to equity, diversity and inclusion, with a particular focus on encouraging applications from women, Indigenous peoples, and other under‑represented groups.

Application Process

Submit a single PDF including: a cover letter; a curriculum vitae; a one‑page teaching philosophy statement; a one‑page outline of current research; a 5‑year proposed research plan (1–2 pages); and contact information for three references. Direct all questions to [e-mail]. Applications are reviewed beginning January 16, 2026 or until a suitable candidate is found.

Equity, Diversity, Inclusion & Accessibility

Ontario Tech University is committed to equity, diversity, inclusion, indigenization, and decolonization (EDIID) and welcomes all qualified candidates, especially those from First Nations, Metis, Inuit peoples, Indigenous peoples of North America, racialized persons, persons with disabilities, and those who identify as women or 2SLGBTQ+. Canadian citizens, permanent residents, Indigenous Peoples in Canada, and those eligible to work in Canada are given priority. The university will accommodate applicants with disabilities and ensures confidentiality throughout the recruitment cycle.

Location & Start Date

Job Location: Oshawa, Ontario, Canada

Expected Start Date: July 1, 2026